The DOI matches its Crossref record; 45 of the 48 references it cites were found in a registry or an index; 12 of the 41 sources its claims cite were checked for support.
How useful are malaria risk maps at the country level? Perceptions of decision-makers in Kenya, Malawi and the Democratic Republic of Congo
Open accessPublished version of a preprint
Abstract
Abstract Background Declining malaria prevalence and pressure on external funding have increased the need for efficiency in malaria control in sub-Saharan Africa (SSA). Modelled Plasmodium falciparum parasite rate ( Pf PR) maps are increasingly becoming available and provide information on the epidemiological situation of countries. However, how these maps are understood or used for national malaria planning is rarely explored. In this study, the practices and perceptions of national decision-makers on the utility of malaria risk maps, showing prevalence of parasitaemia or incidence of illness, was investigated. Methods A document review of recent National Malaria Strategic Plans was combined with 64 in-depth interviews with stakeholders in Kenya, Malawi and the Democratic Republic of Congo (DRC). The document review focused on the type of epidemiological maps included and their use in prioritising and targeting interventions. Interviews (14 Kenya, 17 Malawi, 27 DRC, 6 global level) explored drivers of stakeholder perceptions of the utility, value and limitations of malaria risk maps. Results Three different types of maps were used to show malaria epidemiological strata: malaria prevalence using a Pf PR modelled map (Kenya); malaria incidence using routine health system data (Malawi); and malaria prevalence using data from the most recent Demographic and Health Survey (DRC). In Kenya the map was used to target preventative interventions, including long-lasting insecticide-treated nets (LLINs) and intermittent preventive treatment in pregnancy (IPTp), whilst in Malawi and DRC the maps were used to target in-door residual spraying (IRS) and LLINs distributions in schools. Maps were also used for operational planning, supply quantification, financial justification and advocacy. Findings from the interviews suggested that decision-makers lacked trust in the modelled Pf PR maps when based on only a few empirical data points (Malawi and DRC). Conclusions Maps were generally used to identify areas with high prevalence in order to implement specific interventions. Despite the availability of national level modelled Pf PR maps in all three countries, they were only used in one country. Perceived utility of malaria risk maps was associated with the epidemiological structure of the country and use was driven by perceived need, understanding (quality and relevance), ownership and trust in the data used to develop the maps.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This qualitative study examined how national decision-makers in Kenya, Malawi, and the Democratic Republic of Congo (DRC) perceived and used malaria risk maps. Although modelled *PfPR* maps were available in all three countries, they were used in only one; use was driven by perceived need, understanding, ownership, and trust in the underlying data.
Key findings
- Three different map types appeared in National Malaria Strategic Plans: Kenya used a modelled *PfPR* map based on multiple surveys and environmental data at sub-county level; Malawi used a routine incidence map (cases per 1000 population, HIMS 2011–2015) at district level; DRC used a DHS 2013–2014 *PfPR* map at province level. All were used to show epidemiological strata and identify high-risk areas.
- Maps informed targeting: in Kenya, LLINs and IPTp were delivered in 16 endemic Lake/Coast counties and IRS in two counties (Homa Bay and Migori); in Malawi, IRS was scaled up from one to seven highly endemic districts in 2012; in DRC, maps identified areas for school LLIN distribution (prevalence >30%) and IRS in pre-elimination/urban areas (North Kivu and Kinshasa). Maps were also used for operational planning, supply quantification, financial justification, monitoring, and advocacy.
- Decision-makers in Malawi and DRC lacked trust in modelled *PfPR* maps when based on few empirical data points; Malawi preferred routine incidence data, and DRC chose DHS data. Kenya’s long-term collaboration with KEMRI-Wellcome Trust supported ownership and use of modelled maps.
- The study conducted 64 in-depth interviews: Kenya 14, Malawi 17, DRC 27, and global stakeholders 6.
Methods
- Narrative synthesis combining a document review of the latest National Malaria Strategic Plans with 64 in-depth interviews with purposively selected national and global malaria stakeholders, conducted April 2017–June 2018 in Kenya, Malawi, and DRC.
- Interviews were transcribed, translated into English, coded in NVivo Version 11 across four levels: type of maps, use of maps, value/perception of maps, and suggestions/criticisms; findings were validated with stakeholders in a September 2018 workshop.
Limitations
- The paper states that it compared perceptions across only three SSA countries with different malaria epidemiological profiles, so utility perceptions may differ elsewhere; not all contacted stakeholders were available; and interviewer presence, especially an international interviewer, may have affected responses.
- Evident from the text: the study is qualitative and perception-based, the document review was limited to the latest NMSPs, and it does not quantify the impact of maps on malaria outcomes.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Verification
Claims the paper makes
12 of 41 cited sources checked · 12 supported · 0 flagged
- Findingown data
Perceptions of the quality of routine data varied across countries and stakeholders.
“Perceptions of the quality of routine data varied across countries and stakeholders.”
Quote in the paperNot a substantial claim - Findingnone given
Routine health data were available in each country and by sub-national level.
“Routine health data were available in each country and by sub-national level.”
Quote in the paperNot a substantial claim - Findingown data
Maps were used to justify national decisions, such as where LLINs needed to be allocated, to the sub-regional government.
“Maps were also used to justify national decisions, such as where LLINs needed to be allocated, to the sub-regional government.”
Quote in the paperSubstantial claim - Findingown data
This study found the use of maps to be broader than for strategic planning and targeting, including for project monitoring or planning, supply quantification, financial justification, and budget advocacy.
“This study found the use of maps to be broader than for strategic planning and targeting including for project monitoring or planning, supply quantification, financial justification, and budget advocacy.”
Quote in the paperSubstantial claim - Findingcitation
Kenya presented seven strata of PfPR in 2 to 10 year old children: malaria free, <1%, 1% to 5%, 5% to 10%, 10% to 20%, 20 to 40%, >40%.
“Kenya presented seven strata of the PfPR in 2 to 10 year old children: malaria free, < 1%, 1% to 5%, 5% to 10%, 10% to 20%, 20 to 40%, > 40%.”
Quote in the paperNot a substantial claim
- Findingown data
In DRC, the expectations of the NMCP, based on routine data, aligned better with a map produced using DHS data than with the modelled map.
“In DRC, for example, the expectations of the NMCP, based on the routine data, aligned better with a map that was produced using DHS data than with the modelled map.”
Quote in the paperNot a substantial claim - Findingown data
In all three NMSPs, malaria risk maps showing the distribution of infection and the risk of being infected were included.
“In all three NMSPs, malaria risk maps showing the distribution of infection and, consequently, the risk of being infected were included.”
Quote in the paperSubstantial claim - Findingown data
Respondents in Kenya and Malawi gave examples where maps were used to encourage donors or other stakeholders to provide interventions to specific areas where there were gaps.
“Respondents in Kenya and Malawi gave examples where maps were used to encourage donors or other stakeholders to provide interventions to specific areas where there were gaps.”
Quote in the paperSubstantial claim - Findingown data
In Kenya, DRC, and Malawi, modelled PfPR maps were developed around the time of the most recent NMSP development or revision.
“In Kenya modelled PfPR maps were developed around the time of the mid-term NMSP review and were incorporated in the revised strategy 2015–2019; in DRC the maps were developed in 2014 and the NMSP 2016–2020 was developed in 2015–2016; in Malawi modelled PfPR maps were developed in 2014 and the new strategy 2017–2022 in 2016–2017.”
Quote in the paperSubstantial claim - Findingcitation
In Malawi, participants expressed a lack of confidence in the modelled PfPR maps because they did not show the progress that was perceived to have been achieved by stakeholders based on a Roll Back Malaria publication.
“In Malawi, participants expressed a lack of confidence in the modelled PfPR maps as they did not show the progress that was perceived to have been achieved by stakeholders based on a Roll Back Malaria (RBM) publication [41].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] Malawi Malaria Impact Evaluation Group. Evaluation of the Impact of Malaria Control Interventions on all cause mortality in children under five years on age in Malawi. USAID. 2016;54:5058–61.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingcitation
The prioritization of commodities was also seen in Global Fund proposals reviewed in each country, where the majority of requested budget was for ACTs, RDTs and LLINs.
“This prioritization was also seen in the Global Fund proposals reviewed in each country, where the majority of the requested budget was for commodities: artemisinin-based combination therapies (ACTs), rapid diagnostic tests (RDTs) and LLINs [38, 39].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [38] The Global Fund, Standard Concept Note, Investing for impact against HIV, tuberculosis and malaria. Malawi. 2014.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [39] The Global Fund, Re-programming request, MoH, Kenya, Malaria component. 2015.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
Although the three maps were developed using different methods and types of data, they were used in the NMSPs for the same purpose: showing epidemiological strata and identifying high risk areas where interventions would be implemented.
“Although the three maps were developed using different methods and types of data, they were used in the NMSPs for the same purpose, that of showing epidemiological strata and identifying high risk areas where interventions would be implemented.”
Quote in the paperNot a substantial claim - Findingown data
Respondents felt a sense of ownership because their suggestions of what data was useful were included in the maps.
“Respondents felt a sense of ownership because their suggestions of what data was useful were included in the maps.”
Quote in the paperSubstantial claim - Findingown data
Stakeholders in Malawi and DRC raised concerns about a lack of transparency and clarity on the source and breadth of data in the models used to develop the maps.
“Stakeholders in Malawi and DRC raised concerns about a lack of transparency and clarity on the source and breadth of data in the models used to develop the maps.”
Quote in the paperSubstantial claim - Findingnone given
A variety of malaria risk maps were used for strategic planning and targeting to different extents across the three countries.
“A variety of malaria risk maps were used for strategic planning and targeting to different extents across the three countries.”
Quote in the paperNot a substantial claim - Findingown data
The consideration of geographical areas where interventions would be implemented was based on maps.
“The consideration of the geographical areas where interventions would be implemented was based on maps.”
Quote in the paperSubstantial claim - Findingown data
Having a malaria risk map helped the central government to justify the geographical allocation of interventions to the sub-national level.
“Having a malaria risk map helped the central government to justify the geographical allocation of interventions to the sub-national level.”
Quote in the paperSubstantial claim - Findingnone given
Despite the availability of national level modelled PfPR maps in all three countries, they were only used in one country.
“Despite the availability of national level modelled PfPR maps in all three countries, they were only used in one country.”
Quote in the paperSubstantial claim - Findingcitation
The Kenya strategy indicated that each vector control intervention (LLINs distribution, larval source control and IRS) would be deployed in specific areas according to the stratification.
“The strategy indicated that each vector control intervention (LLINs distribution, larval source control and IRS) would be deployed in specific areas according to the stratification [35].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] MoH. Kenya. National Malaria Strategy 2019-2023. Nairobi, 2019.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
Perceived utility of malaria risk maps was associated with the epidemiological structure of the country.
“Perceived utility of malaria risk maps was associated with the epidemiological structure of the country and use was driven by perceived need, understanding (quality and relevance), ownership and trust in the data used to develop the maps.”
Quote in the paperSubstantial claim - Findingcitation
Kenya NMSP 2019-2023 included a panel of four maps showing malaria prevalence levels and changes over time (2000, 2005, 2010, 2015).
“In the Kenya NMSP 2019–2023 [35] a panel of four maps were included to show and describe the malaria prevalence levels and changes over time (same map updated by different year- 2000, 2005, 2010, 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] MoH. Kenya. National Malaria Strategy 2019-2023. Nairobi, 2019.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
The study found perceived needs, understanding and trust of the data source and process to construct the maps to be important drivers of the type of map chosen and their use.
“The study also found perceived needs, understanding and trust of the data source and process to construct the maps to be important drivers of the type of map chosen and their use.”
Quote in the paperSubstantial claim - Findingreasoning
Stakeholders in Malawi and DRC felt that they were not able to judge the quality of data from which the map was developed.
“This meant that stakeholders felt that they were not able to judge the quality of data from which the map was developed.”
Quote in the paperSubstantial claim - Findingnone given
Modelled PfPR maps with district-level resolution were available in DRC and Malawi.
“Modelled PfPR maps with district-level resolution were available in DRC and Malawi.”
Quote in the paperNot a substantial claim - Findingown data
Modelled PfPR maps were available in all three countries at the time of development of the most recent NMSP, provided by the INFORM and LINK projects.
“Modelled PfPR maps were available in all three countries at the time of development of the most recent NMSP, provided by the INFORM and LINK projects.”
Quote in the paperSubstantial claim - Findingcitation
In DRC, with severe resource constraints, the NMCP used 'time prioritization', as defined by a report developed by the African Leaders Malaria Alliance (ALMA).
“In DRC, with severe resource constraints, the NMCP used what they called ‘time prioritization’, as defined by a report developed by the African Leaders Malaria Alliance (ALMA) [40].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] African Leaders Malaria Alliance. How countries prioritized malaria control interventions: A review of recipients’ decisions under the Global Fund’s New Funding Model, 2014–2017. Geneva, 2016.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingnone given
Maps were generally used to identify areas with high prevalence in order to implement specific interventions.
“Maps were generally used to identify areas with high prevalence in order to implement specific interventions.”
Quote in the paperSubstantial claim - Findingown data
Across the three countries, treatment was widely prioritized over prevention as it was perceived as a tool for saving lives as opposed to preventing infection.
“Across the three countries, treatment was widely prioritized over prevention as it was perceived as a tool for ‘saving lives’ as opposed to preventing infection.”
Quote in the paperNot a substantial claim - Findingown data
NMCPs case management division and NGOs officers described the use of risk maps to guide the quantification of commodities, such as RDTs and ACT, according to the level of burden.
“NMCPs case management division and NGOs officers described the use of risk maps to guide the quantification of commodities, such as RDTs and ACT, according to the level of burden.”
Quote in the paperSubstantial claim - Findingown data
Decision-makers lacked trust in modelled PfPR maps when based on only a few empirical data points in Malawi and DRC.
“Findings from the interviews suggested that decision-makers lacked trust in the modelled PfPR maps when based on only a few empirical data points (Malawi and DRC).”
Quote in the paperSubstantial claim - Findingcitation
Malawi NMSP 2017-2022 includes a panel of four maps from 2011 to 2015 illustrating the evolution of risk according to Annual Parasite Incidence and number of cases per 1000 population by district (5 categories).
“The Malawian NMSP 2017–2022 [36] includes a panel of four maps from 2011 to 2015 to illustrate the evolution of risk according to the Annual Parasite Incidence and the number of cases per 1000 population by each district (divided into 5 categories: under 150, 150–250, 250–350, 350–450, over 450).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Governement of Malawi, Ministry of Health. Malawi Malaria Strategic Plan 2017–2022. Lilongwe 2017.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingcitation
DRC NMSP 2016-2020 included one map showing stratification of PfPR in <5 year old children in four strata: pre-elimination in North Kivu (PfPR <5%), control/consolidation (PfPR 6-30%), control/intensification (PfPR >30%), and urban malaria in Kinshasa.
“The Congolese NMSP 2016–2020 [37] included one map that showed the stratification of the PfPR in < 5 years old children in four strata: pre-elimination in North Kivu (PfPR < 5%), control/consolidation (PfPR 6–30%), control/intensification (PfPR > 30%) and urban malaria (in Kinshasa).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Programme nationale de lutte contre le paludisme (PNLP). Plan strategique national de lutte contre le paludisme. Kinshasa, 2016;81.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
A key concern raised about the use of maps for decision-making involved the nature, representativeness and perceived quality of the data from which the maps were developed.
“A key concern raised about the use of maps for decision-making involved the nature, representativeness and perceived quality of the data from which the maps were developed.”
Quote in the paperSubstantial claim - Findingreasoning
The perception that resource allocation needed to be optimized because of limited availability, such as in DRC, or to increase value for money, such as in Kenya, increased the need for targeting and developing risk maps.
“The perception that resource allocation needed to be optimized because of limited availability, such as in DRC, or to increase the value for money of the interventions, such as in Kenya, also increased the need for targeting and developing risk maps.”
Quote in the paperSubstantial claim - Findingreasoning
Knowledge and understanding of the source of data and their limitations, together with knowledge and understanding of the processes of map construction, were key factors in the decision-making by policy makers on what maps were appropriate to use.
“Knowledge and understanding of the source of data and their limitations, together with knowledge and understanding of the processes of map construction were key factors in the decision-making by policy makers on what maps were appropriate to use.”
Quote in the paperSubstantial claim - Findingnone given
Maps were generally used to target areas of high malaria risk with specific interventions.
“Maps were generally used to target areas of high malaria risk with specific interventions.”
Quote in the paperSubstantial claim - Findingreasoning
Stakeholders preferred to develop maps using data and processes that were owned, understood and trusted by the country.
“Stakeholders preferred to develop maps using data and processes that were owned, understood and trusted by the country.”
Quote in the paperSubstantial claim - Findingnone given
Across the three countries, malaria survey data and routine data were available, although to different extents and quality.
“Across the three countries malaria survey data and routine data were available (although to different extents and quality).”
Quote in the paperSubstantial claim - Findingreasoning
Understanding the meaning of malaria risk maps depended on the ability of decision-makers to make an informed judgment on the map quality and relevance.
“Understanding the meaning of malaria risk maps depended on the ability of decision-makers to make an informed judgment on the map quality and relevance.”
Quote in the paperSubstantial claim - Findingreasoning
Perceived needs of malaria risk maps depended mainly on the perception of the level of heterogeneity of malaria in the country.
“Perceived needs of malaria risk maps depended mainly on the perception of the level of heterogeneity of malaria in the country.”
Quote in the paperSubstantial claim - Findingreasoning
The NMCP in DRC were aware of the limited number of survey points available to develop a map representative at district level and therefore did not trust modelled maps derived from these data points.
“The NMCP in DRC were aware of the limited number of survey points available to develop a map representative at district level and therefore they did not trust modelled maps derived from these data points.”
Quote in the paperSubstantial claim - Findingown data
Malaria decision-makers interviewed in this study all recognized that Kenya had a heterogeneous distribution of the risk.
“For instance, malaria decision-makers interviewed in this study all recognized that Kenya had a heterogeneous distribution of the risk.”
Quote in the paperSubstantial claim - Premisereasoning
How malaria risk maps are understood or used for national malaria planning is rarely explored.
“However, how these maps are understood or used for national malaria planning is rarely explored.”
- Also stated in: § Background · plain
“Studies looking specifically at the use of spatially defined health data and maps to plan interventions are less common.”
Quote in the paperSubstantial claim - Also stated in: § Background · plain
- Interpretationreasoning
The fact that the maps were developed with recent data, at the time of the NMSP revision, facilitated their utilization.
“The fact that the maps were developed with recent data, at the time of the NMSP revision, facilitated their utilization.”
Quote in the paperSubstantial claim - Interpretationreasoning
Timely alignment of data and maps with malaria strategic planning cycles was a key element that increased their utilization.
“Timely alignment of data and maps with malaria strategic planning cycles was a key element that increased their utilization.”
Quote in the paperSubstantial claim - Interpretationown data
The choice of map used in the NMSP and other national documents could be influenced by whether what the maps showed was in alignment with what decision-makers expected to see based on other data sources or publications.
“However, in addition to trust in the data and legitimacy of the process, there were also indications that the choice of map used in the NMSP and other national documents could be influenced by whether what the maps showed was in alignment with what decision-makers expected to see based on other data sources or publications.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is logical that NMCP would be less accepting of a map suggesting no change in malaria prevalence after their scale-up of interventions, given alternative versions of achievement.
“However, it is logical given alternative versions of achievement that NMCP would be less accepting of the one suggesting no change in malaria prevalence after their scale-up of interventions.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The lack of involvement of the NMCP in the development of the PfPR maps had negative implications for the use of the evidence based on the maps.
“More importantly, the lack of involvement of the NMCP in the development of the PfPR maps had negative implications for the use of the evidence based on the maps.”
Quote in the paperSubstantial claim - Interpretationreasoning
The strong and long-term collaboration between the KEMRI-Wellcome Trust in Nairobi and the Kenya NMCP likely supported the perceived need to move to a targeted approach.
“The strong and long-term collaboration between the KEMRI-Wellcome Trust in Nairobi and the Kenya NMCP likely supported the perceived need to move to a targeted approach.”
Quote in the paperSubstantial claim - Interpretationreasoning
Different levels of engagement and support from the research community are likely to have influenced the development and use of a specific type of malaria risk map.
“Different levels of engagement and support from the research community are likely to have influenced the development and use of a specific type of malaria risk map.”
Quote in the paperSubstantial claim - Interpretationreasoning
Understanding of the source of data and process through which the maps were generated led to trust and ownership of the maps and ultimately to their use for strategic planning.
“While the understanding of the source of data and process through which the maps were generated led to trust and ownership of the maps and ultimately to their use for strategic planning.”
Quote in the paperSubstantial claim - Interpretationreasoning
Perceived needs determined the preferred type of map.
“Perceived needs determined the preferred type of map.”
Quote in the paperSubstantial claim - Interpretationcitation
The desire for granular and timely maps along with the increasing availability and quality of malaria routine data drove some countries towards the use of routine data in the stratification of malaria, either using Test Positivity Rate or case incidence.
“The desire for granular and timely maps along with the increasing availability and quality of malaria routine data drove some countries towards the use of routine data in the stratification of malaria, either using Test Positivity Rate or case incidence [46, 47].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [46] Thawer SG, Chacky F, Runge M, Reaves E, Mandike R, Lazaro S, et al. Sub-national stratification of malaria risk in mainland Tanzania: a simplified assembly of survey and routine data. Malar J. 2020;19:177. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [47] Alegana VA, Okiro EA, Snow RW. Routine data for malaria morbidity estimation in Africa: challenges and prospects. BMC Med. 2020;18:121. source
Checked before — its earlier verdict is held back until a new check runs.
- Interpretationreasoning
The long-term participation of KEMRI researchers in TWGs, and the alignment of the production of the maps with the NMSP cycle, facilitated the understanding of the process of generating modelled maps.
“The long-term participation of the KEMRI- researchers in TWGs, and the alignment of the production of the maps with the NMSP cycle, facilitated the understanding of the process of generating modelled maps.”
Quote in the paperSubstantial claim - Interpretationreasoning
The lack of alignment of the map with the expected results prevented the modelled map from being used.
“The lack of alignment of the map with the expected results prevented the modelled map from being used.”
Quote in the paperSubstantial claim - Premisecitation
As noted in previous studies, alignment with other sources of information and stakeholder expectations were considered important for stakeholders to have trust in the maps.
“As noted in previous studies [22, 46, 48], the alignment with other sources of information and stakeholder expectations were considered important for stakeholders to have trust in the maps.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [22] D’Souza BJ, Parkhurst JO. When “Good Evidence” is not enough: a case of global malaria policy development. Glob Challenges. 2018;2:1700077. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [46] Thawer SG, Chacky F, Runge M, Reaves E, Mandike R, Lazaro S, et al. Sub-national stratification of malaria risk in mainland Tanzania: a simplified assembly of survey and routine data. Malar J. 2020;19:177. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [48] Runge M, Molteni F, Mandike R, Snow RW, Lengeler C, Mohamed A, et al. Applied mathematical modelling to inform national malaria policies, strategies and operations in Tanzania. Malar J. 2020;19:101. source
Checked before — its earlier verdict is held back until a new check runs.
- Probably not a substantial claim. 46
- It may state two separate claims as one. 60
Probably not a substantial claim. It may state two separate claims as one.
PremisecitationModelled PfPR maps are developed by assembling community-based PfPR data from the general population or specific population surveys and used within geostatistical models to provide estimates of infection prevalence at unsampled locations.
“Modelled PfPR maps are developed by assembling community-based malaria parasite prevalence (PfPR) data from the general population or specific population surveys, such as school based children [12–16], and used within geostatistical models to provide estimates of infection prevalence at unsampled locations [17].”
Quote in the paperSubstantial claim5 of 6 sources checked- cites [12] Gitonga CW, Karanja PN, Kihara J, Mwanje M, et al. Implementing school malaria surveys in Kenya: towards a national surveillance system. Malar J. 2010;9:306. source
- cites [13] Swana EK, Yav TI, Ngwej LM, Mupemba BN, Suprianto, Mukeng CK, et al. School-based malaria prevalence: informative systematic surveillance measure to assess epidemiological impact of malaria control interventions in the Democratic Republic of the Congo. Malar J. 2018;17:141. source
- cites [14] Okebe J, Affara M, Correa S, Muhammad AK, Nwakanma D, Drakeley C, et al. School-based countrywide seroprevalence survey reveals spatial heterogeneity in malaria transmission in the Gambia. PLoS ONE. 2014;9:e110926. source
- cites [15] Houngbedji CA, Chammartin F, Yapi RB, Hürlimann E, N’Dri PB, Silué KD, et al. Spatial mapping and prediction of Plasmodium falciparum infection risk among school-aged children in Côte d’Ivoire. Parasit Vectors. 2016;9:494. source
- cites [16] Chacky F, Runge M, Rumisha SF, MacHafuko P, Chaki P, Massaga JJ, et al. Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania. Malar J. 2018;17:452. source
- cites [17] Diggle PJ, Giorgi E. Model-based geostatistics for prevalence mapping in low-resource settings. J Am Stat Assoc. 2016;111:1096–120. source
It may state two separate claims as one.
PremisecitationModelled Plasmodium falciparum parasite rate (PfPR) maps are increasingly becoming available and provide information on the epidemiological situation of countries.
“Modelled Plasmodium falciparum parasite rate (PfPR) maps are increasingly becoming available and provide information on the epidemiological situation of countries.”
- Also stated in: § Background · plain
“In the last 10–15 years, maps showing the proportion of individuals infected at a given point in time are increasingly replacing or becoming available alongside qualitative, eco-climatic risk and routine data maps across a number of countries in SSA [11].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [11] Omumbo JA, Noor AM, Fall IS, Snow RW. How well are malaria maps used to design and finance malaria control in Africa? PLoS ONE. 2013;8:e53198. source
- Also stated in: § Background · plain
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationMalawi has relatively homogeneous prevalence of malaria with higher burden along Lake Malawi in the Central and Southern regions.
“Relatively homogeneous prevalence of malaria with higher burden along Lake Malawi in the Central and Southern regions [54]”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [54] Give Chipeta M, Giorgi E, Mategula D, Macharia PM, Ligomba C, Munyenyembe A, et al. Open Peer Review Geostatistical analysis of Malawi’s changing malaria transmission from 2010 to 2017. Wellcome Open Res. 2019;4:57. source
It may state two separate claims as one.
PremisecitationDeclining malaria prevalence and pressure on external funding have increased the need for efficiency in malaria control in sub-Saharan Africa.
“Declining malaria prevalence [1–3] and malaria mortality [4], pressure on external funding and renewed interest in malaria elimination [5, 6] have highlighted the need for increased efficiency of malaria control in sub-Saharan Africa (SSA) [7–9].”
Quote in the paperNot a substantial claim4 of 7 sources checked- cites [1] Weiss DJ, Lucas TCD, Nguyen M, Nandi AK, Bisanzio D, Battle KE, et al. Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000–17: a spatial and temporal modelling study. Lancet. 2019;394:322–31. source
- cites [2] World Health Organization. World malaria report 2019. Geneva: World Health Organization; 2019. source
- cites [3] Snow RW, Sartorius B, Kyalo D, Maina J, Amratia P, Mundia CW, et al. The prevalence of Plasmodium falciparum in sub-Saharan Africa since 1900. Nature. 2017;550:515–8. source
- cites [4] Gething PW, Casey DC, Weiss DJ, Bisanzio D, Bhatt S, Cameron E, et al. Mapping Plasmodium falciparum mortality in Africa between 1990 and 2015. N Engl J Med. 2016;375:2435–45. source
- cites [7] Walker PGT, Griffin JT, Ferguson NM, Ghani AC. Estimating the most efficient allocation of interventions to achieve reductions in Plasmodium falciparum malaria burden and transmission in Africa: a modelling study. Lancet Glob Health. 2016;4:e474–84. source
- cites [8] Scott N, Hussain SA, Martin-Hughes R, Fowkes FJI, Kerr CC, Pearson R, et al. Maximizing the impact of malaria funding through allocative efficiency: using the right interventions in the right locations. Malar J. 2017;16:368. source
- cites [9] Clements ACA, Reid HL, Kelly GC, Hay SI. Further shrinking the malaria map: How can geospatial science help to achieve malaria elimination? Lancet Infect Dis. 2013;13:709–18. source
It may state two separate claims as one.
PremisecitationHigh quality and timely data at high granular resolution are often not available, and policy makers therefore need to make decisions based on the maps using the data available or on modelled data.
“However, high quality and timely data at high granular resolution are often not available [23] and policy makers therefore need to make decisions based on the maps using the data available or on modelled data.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [23] Wickremasinghe D, Hashmi IE, Schellenberg J, Avan BI. District decision-making for health in low-income settings: a systematic literature review. Health Policy Plan. 2016;31:ii12–24. source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataPopulation at risk, number of malaria cases and deaths and malaria prevalence maps were utilized conjointly to quantify malaria commodities in a specific area.
“Indeed, population at risk, number of malaria cases and deaths and malaria prevalence maps were utilized conjointly to quantify malaria commodities in a specific area.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataIn DRC and Malawi, the NMCP did not feel sufficiently involved in research generally, and specifically in the development of the PfPR maps.
“By contrast, in the DRC and Malawi, despite the involvement of the Malaria Alert Centre (College of Medicine) in Malawi, there was a keen sense from the interviews that the NMCP did not feel sufficiently involved in research generally, and specifically in the development of the PfPR maps.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataIn Malawi, some stakeholders either did not know of the existence of district-level modelled PfPR maps or did not feel that the data used to develop the map was accurate enough to be representative at the district level.
“However, in Malawi some stakeholders either did not know of their existence or did not feel that the data used to develop the map was accurate enough to be representative at the district level.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingnone givenMalaria maps were used for project monitoring or planning, supply quantification, financial justification, and budget advocacy purposes.
“These included project monitoring or planning, supply quantification, financial justification, and budget advocacy purposes.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningAnti-malarials and diagnostics for case management were the first priority, followed by LLINs and IPTp for prevention.
“Anti-malarials and diagnostics for case management were the first priority, followed by LLINs and IPTp for prevention.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may state two separate claims as one.
Findingown dataDHS and MIS data were representative at national or higher sub-national levels but not at district-level, and this was perceived as a limitation of the national survey data.
“The fact that DHS and MIS data were representative at national or at the higher sub-national levels (e.g. region or province) but not at district-level was perceived as a limitation of the national survey data.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingnone givenMalaria risk maps were developed using either multiple PfPR data points, DHS prevalence data at one point in time, or routine health information system data.
“Malaria risk maps were developed using either multiple PfPR data points, DHS prevalence data at one point in time, or by using routine health information system data.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingown dataDRC officers reportedly felt that the PfPR data available were not sufficient to develop a representative map and decided to use the most recent DHS data (2013-2014), despite it only providing provincial-level resolution, and have pushed to make the 2020 DHS/MIS survey representative of the 26 provinces.
“DRC officers reportedly felt that the PfPR data available were not sufficient to develop a representative map and as such they decided to use the most recent DHS data (2013–2014), despite it only providing provincial-level resolution, however, they have pushed to make the 2020 DHS/MIS survey representative of the 26 provinces.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
FindingcitationThe DRC strategy stated that all interventions would be allocated universally, except IRS in urban and pre-elimination areas, and LLINs distribution in schools in tropical areas.
“The strategy stated that all interventions would be allocated universally, with the exception of IRS, which would be implemented in urban and pre-elimination areas, and LLINs distribution in schools in the tropical areas [37].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Programme nationale de lutte contre le paludisme (PNLP). Plan strategique national de lutte contre le paludisme. Kinshasa, 2016;81.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
Findingnone givenIn Kenya, delivery of LLINs and IPTp was only implemented in the 16 endemic counties of the Lake and Coast regions (out of 47 counties) and IRS was implemented in two counties (Homa Bay and Migori).
“In Kenya, the delivery of LLINs and IPTp was only implemented in the 16 endemic counties of the Lake and Coast regions (out of 47 counties in total) and IRS was implemented in two counties (Homa Bay and Migori).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataParticipants in Malawi and DRC perceived targeting to be associated with limited resources, while in Kenya participants felt the use of a targeted approach was primarily to increase efficiency and value for money in malaria control.
“Participants in Malawi and DRC perceived targeting to be associated with limited resources, while in Kenya participants felt the use of a targeted approach was primarily to increase efficiency and value for money in malaria control.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataIn Kenya, the NMCP and other stakeholders interviewed were proud to have shifted to a targeted approach for malaria interventions and appreciated the modelled PfPR maps.
“In Kenya, the NMCP and other stakeholders interviewed were proud to have shifted to a targeted approach for malaria interventions and appreciated the modelled PfPR maps.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe decision to use malaria risk maps was motivated by their availability (or potential to be developed), the technical characteristics of the maps, and the alignment of the maps with stakeholder expectations.
“The decision to use malaria risk maps was motivated by their availability (or potential to be developed), the technical characteristics of the maps, and the alignment of the maps with stakeholder expectations.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataTargeting was applied to all preventative interventions (LLINs, IPTp, IRS) in Kenya; while limited to IRS, or LLINs in schools, or IPTp at the community level in Malawi and DRC.
“Targeting was applied to all preventative interventions (LLINs, IPTp, IRS) in the case of Kenya; while limited to IRS, or LLINs in schools, or IPTp at the community level in the case of Malawi and DRC.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingnone givenIn Kenya, modelled PfPR maps for the county level were available and appreciated.
“In Kenya, modelled PfPR maps for the county level were available and appreciated.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThree different types of maps were used to show malaria epidemiological strata: a modelled PfPR prevalence map in Kenya, a routine health system incidence map in Malawi, and a Demographic and Health Survey prevalence map in DRC.
“Three different types of maps were used to show malaria epidemiological strata: malaria prevalence using a PfPR modelled map (Kenya); malaria incidence using routine health system data (Malawi); and malaria prevalence using data from the most recent Demographic and Health Survey (DRC).”
- Also stated in: § Risk maps included in the National Malaria Strategic Plans · plain
“However, each country used a different type of malaria risk map, based on different kinds of data: a modelled PfPR map in Kenya, an incidence map based on routine data in Malawi and a prevalence map based on the Demographic Health Survey (DHS) data in DRC (Fig. 1).”
Quote in the paperSubstantial claim- Also stated in: § Risk maps included in the National Malaria Strategic Plans · plain
Probably not a substantial claim. The paper’s conclusions may not depend on it.
FindingcitationAccording to the Malawi strategy, interventions would be allocated universally, except IRS, which would be implemented in high burden districts or areas.
“According to the strategy, interventions would be allocated universally, with the exception of IRS, which would be implemented in high burden districts or areas [36].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Governement of Malawi, Ministry of Health. Malawi Malaria Strategic Plan 2017–2022. Lilongwe 2017.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
FindingreasoningNMCP officers and other stakeholders in Malawi reported using incidence data from the routine health information system because they perceived this to be the only way to develop a map at district level that they felt they could trust.
“NMCP officers and other stakeholders in Malawi reported using incidence data from the routine health information system because they perceived this to be the only way to develop a map at district level that they felt they could trust.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataRoutine health data were perceived as understandable and useful in indicating the distribution of malaria burden and guiding decisions despite the acknowledgement that the data was not always of good quality.
“Conversely, routine health data were perceived as understandable and useful in indicating the distribution of malaria burden and guiding decisions despite the acknowledgement that the data was not always of good quality.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataMaps were used to advocate for funds at the sub-national level, in countries with some degree of devolution, and by community-based organizations to advocate for funds or for social accountability.
“Maps were used to advocate for funds at the sub-national level, in countries with some degree of devolution, and by community-based organizations to advocate for funds or for social accountability.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataIn DRC and Malawi, LLINs and IPTp were delivered in the entire country through universal coverage, but maps were used to identify high burden areas where additional interventions or delivery sites were appropriate, such as LLINs in schools and IPTp at community level in DRC and IRS in Malawi.
“In DRC and Malawi, LLINs and IPTp were delivered in the entire country through using a universal coverage approach, however maps were utilized to identify high burden areas where additional interventions or delivery sites were appropriate, such as LLINs distributed in schools and the delivery of IPTp at the community level in DRC (Table 4) and IRS in Malawi.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataStakeholders in Malawi and DRC preferred maps that showed what they expected to see: a decreased number of cases in Malawi and alignment with routine data in DRC.
“Stakeholders in both countries mentioned that they preferred maps that showed what they expected to see, a decreased number of cases in Malawi and alignment with routine data in DRC.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataUse of malaria risk maps was driven by perceived need, understanding (quality and relevance), ownership and trust in the data used to develop the maps.
“Perceived utility of malaria risk maps was associated with the epidemiological structure of the country and use was driven by perceived need, understanding (quality and relevance), ownership and trust in the data used to develop the maps.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe visual nature of the maps was seen to encourage their use as powerful tools for resource mobilization and advocacy, and training purposes.
“The visual nature of the maps was seen to encourage their use as powerful tools for resource mobilization and advocacy, and training purposes.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataTimeliness of the monthly routine data was perceived as an issue by some policy makers.
“Timeliness of the monthly routine data (the period needed to send data from health facilities to the central level) was perceived as an issue by some policy makers.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataStakeholders in all three countries highlighted the importance of the sense of ownership of the maps by NMCP and of engagement of researchers and technical advisors in supporting the NMCP to develop risk maps.
“Stakeholders in all three countries highlighted the importance of the sense of ownership of the maps by NMCP and of engagement of researchers and technical advisors in supporting the NMCP to develop risk maps.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataAlignment of the maps with stakeholder expectations included alignment with the expected malaria epidemiological situation in the country, knowledge, trust and perceived ownership of the data and of the process of developing the maps.
“while the alignment of the maps with stakeholder expectations included a range of related factors such as: alignment with the expected malaria epidemiological situation in the country (based on eco-climatic zone, routine data, or indications from sentinel sites); knowledge, trust and perceived ownership of the data and of the process of developing the maps.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataRisk maps were primarily used for strategic planning, in particular to aid selection of geographic areas or population sub-groups for delivery of an intervention (targeting); operational planning and advocacy were also important uses.
“Risk maps were primarily used for strategic planning, in particular to aid in the selection of geographic areas or population sub-groups for delivery of an intervention (targeting); however, operational planning and advocacy were also identified as important uses.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenIRS in Malawi was scaled up from one to seven highly endemic districts in 2012.
“Specifically, IRS in Malawi was scaled up from one to seven highly endemic districts in 2012, while in DRC, IRS was implemented by mining companies in the areas where they were operating.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may state two separate claims as one.
Findingown dataKenyan NMCP officers mentioned long-term (over 20 years) and daily collaboration with KEMRI-Wellcome Trust, with researchers contributing to TWGs by reviewing interventions, routine data, discussing changes in strategy and policy, and generating and sharing new national and global evidence.
“Kenyan NMCP officers mentioned the long term (over 20 years) and daily collaboration with KEMRI- Wellcome Trust; how the researchers have consistently contributed to the TWGs by reviewing interventions, routine data, discussing changes in strategy and policy and generating and sharing new national and global evidence.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe ease with which malaria risk could be visualized was highly appreciated and often used for training purposes to catch attention of the audience.
“Finally, the ease with which malaria risk could be visualized was highly appreciated and often used for training purposes to catch attention of the audience.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenIn DRC, IRS was implemented by mining companies in the areas where they were operating.
“Specifically, IRS in Malawi was scaled up from one to seven highly endemic districts in 2012, while in DRC, IRS was implemented by mining companies in the areas where they were operating.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingown dataIn Malawi, although LLINs and IPTp were universally implemented, targeting was perceived by some as a better strategy given resource constraints and geographical variations in risk.
“In Malawi, although LLINs and IPTp were universally implemented, targeting was perceived, by some, as a better strategy given the resource contraints and geographical variations in risk, as explained by one official:”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may state two separate claims as one.
Findingown dataConcerns were raised about the granularity of the data and some participants questioned how representative the maps were of populations at the sub-national level.
“Concerns were raised about the granularity of the data and some participants questioned how representative the maps were of populations at the sub-national level.”
Quote in the paperSubstantial claimProbably not a substantial claim. The authors may not put it forward as true. It may state two separate claims as one.
Findingown dataThese stakeholders felt universal coverage of LLINs and IPTp was the most appropriate strategy at this stage, weakening the need for PfPR risk maps.
“They felt that universal coverage of LLINs and IPTp was the most appropriate strategy at this stage, weakening the need for PfPR risk maps”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataMaps were also used for operational planning, supply quantification, financial justification and advocacy.
“Maps were also used for operational planning, supply quantification, financial justification and advocacy.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataStakeholders, including NMCPs and donors, reported that interventions were prioritized based on their perceived efficacy, primarily ensuring availability of commodities.
“Stakeholders, including NMCPs and donors, reported that interventions were prioritized based on their perceived efficacy, which primarily meant ensuring the availability of commodities.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataIn Kenya the map was used to target preventative interventions, including LLINs and IPTp; in Malawi and DRC maps were used to target IRS and LLINs distributions in schools.
“In Kenya the map was used to target preventative interventions, including long-lasting insecticide-treated nets (LLINs) and intermittent preventive treatment in pregnancy (IPTp), whilst in Malawi and DRC the maps were used to target in-door residual spraying (IRS) and LLINs distributions in schools.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataIntervention choices were based on evidence from efficacy and effectiveness studies, as well as WHO Global Malaria Programme guidelines.
“Intervention choices were based on evidence from efficacy and effectiveness studies, as well as WHO Global Malaria Programme (GMP) guidelines.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
Findingown dataSome stakeholders in DRC and Malawi perceived prioritization and targeting of high impact interventions (LLINs and IPTp) as not suitable in a country where the risk of malaria is high almost everywhere.
“However, some other stakeholders in DRC and Malawi perceived the prioritization and targeting of high impact interventions (LLINs and IPTp) not suitable in a country where the risk of malaria is high almost everywhere.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataMaps were specifically used for annual reviews and during the mid-term and final reviews of the NMSP.
“Maps were specifically used for annual reviews and during the mid-term and final reviews of the NMSP.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
Findingown dataMalaria risk maps of consecutive years were key to showing progress and readjusting the strategy over time.
“Malaria risk maps of consecutive years were key to showing progress and readjusting the strategy over time, as Kenyan officials explained:”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataRoutine health data were perceived by some stakeholders as advantageous due to their being more recent and timely compared to national survey data, which are produced every 3 to 5 years.
“These data were perceived by some stakeholders as advantageous due to their being more recent and timely compared to national survey data, which are produced every 3 to 5 years.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingnone givenTechnical characteristics of the maps included the nature and quality of the data from which the maps were developed and the granularity of the data.
“Technical characteristics of the maps included: the nature and quality of the data from which the maps were developed and the granularity of the data;”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataMalaria surveys were generally well understood and trusted, but they were not available at the desired level of resolution and in the required timeline.
“Malaria surveys were generally well understood and trusted, however they were not available at the desired level of resolution and in the required timeline.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingnone givenThe NMCP in Kenya perceived the need of moving to a targeted approach to interventions, had a significant amount of data available to develop sub-national maps, understood and trusted the results of the modelled maps, and was reported by stakeholders as having allocated a budget for subsequent development of maps.
“The NMCP in Kenya perceived the need of moving to a targeted approach to interventions, had a significant amount of data available to develop sub-national maps, understood and trusted the results of the modelled maps, and was reported by stakeholders as having allocated a budget for subsequent development of maps.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataMalawi and DRC had homogeneous distributions of malaria risk, but homogeneity was perceived differently by stakeholders according to their interests and roles.
“Malawi and DRC had homogeneous distributions of malaria risk; however, homogeneity was perceived differently by the stakeholders according to their interests and roles.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
FindingreasoningThe need to adjust for reporting rates, missing data from private sector, and the proportion of malaria that was confirmed versus suspected was recognized.
“The need to adjust for reporting rates, missing data from private sector, and the proportion of malaria that was confirmed versus suspected was recognized.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
FindingreasoningThis ability depended on the transparency of data and how the maps were developed, and on the availability of timely and geolocated data at the desired level of granularity.
“In turn, this depended on the transparency of data and how the maps were developed, and on the availability of timely and geolocated data at the desired level of granularity.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataDrivers of the use of malaria risk maps for strategic planning were perceived need for risk maps; an understanding of what data was used to develop the map, including its limitations; and trust and ownership in the data and how it was used in the maps.
“Drivers of the use of malaria risk maps for strategic planning were: perceived need for risk maps; an understanding of what data was used to develop the map, including its limitations; and trust and ownership in the data and how it was used in the maps (Fig. 2).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningThe NMCP in Malawi did not trust the results of the PfPR modelling because the modelled maps contradicted a Roll Back Malaria report, and preferred instead to use routine incidence data to develop a map at district level.
“Conversely, the NMCP in Malawi did not trust the results of the PfPR modelling, because the modelled maps contradicted a Roll Back Malaria report, and preferred instead to use routine incidence data to develop a map at district level.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningPerceived utility of malaria risk maps was associated with the epidemiological structure of the country and use was driven by perceived need, understanding (quality and relevance), ownership and trust in the data.
“Perceived utility of malaria risks maps was associated with the epidemiological structure of the country and use was driven by perceived need, understanding (quality and relevance), ownership and trust in the data.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningIn Malawi, the Malaria Alert Centre-College of Medicine, a nationally recognized long-term partner, was involved in the development of the modelled map and profile; however, this element was not sufficient.
“In Malawi, the Malaria Alert Centre- College of Medicine, a nationally recognized long-term partner was involved in the development of the modelled map and profile; however, this element was not sufficient.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningThe NMCP in DRC did not trust the quality of their routine data and chose to use the most recent DHS survey data to develop a map.
“They also did not trust the quality of their routine data and chose to use the most recent DHS survey data to develop a map.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
FindingreasoningRoutine data were understood, although not always trusted.
“Routine data were understood, although not always trusted.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may state two separate claims as one.
FindingreasoningStrengthening surveillance and use of data was perceived as important when allocating limited resources and to monitor progress of control interventions.
“However, strengthening surveillance and use of data was perceived as important when allocating limited resources and to monitor progress of the control interventions.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingnone givenThe interviewers were perceived as colleagues by researchers and officers of international organizations, while government officers perceived them as external figures.
“The interviewers were perceived as colleagues by researchers and officers of international organizations, while government officers perceived them as external figures.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
FindingreasoningPolicymakers were comfortable using maps based on routine data because they understood the limitations and were able to make their recommendations based on this knowledge.
“But, whilst hoping that these issues would be resolved over time, policymakers were comfortable using maps based on this data because they understood the limitations and were able to make their recommendations based on this knowledge.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
Findingnone givenThe three countries have different malaria epidemiological profiles (quasi homogenous in Malawi and DRC and heterogeneous in Kenya) impacting on the perceived need for PfPR maps to stratify malaria control interventions.
“The three countries have different malaria epidemiological profiles (quasi homogenous in Malawi and DRC and heterogeneous in Kenya) impacting on the perceived need for PfPR maps to stratify malaria control interventions.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
Findingnone givenMalaria risk maps were produced and used for malaria decision-making, such as strategic planning, targeting, quantification, monitoring and advocacy.
“Malaria risk maps were produced and used for malaria decision-making, such as strategic planning, targeting, quantification, monitoring and advocacy.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingnone givenAlthough national level modelled PfPR maps were available in all three countries, they were not used in two of the countries.
“Although national level modelled PfPR maps were available in all three countries, they were not used in two of the countries.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningSome stakeholders did not perceive any need for risk maps, while others expressed a need for highly granular maps defining malaria risk at the sub-district level.
“Therefore, some stakeholders did not perceive any need for risk maps, while others expressed a need for highly granular maps defining malaria risk at the sub-district level.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningAlthough most stakeholders were aware of the limitations in quality, they considered routine data as the only data able to give an idea of the malaria risk at district level.
“However, although most of the stakeholders were aware of the limitations in quality, they also considered them as the only data able “to give an idea” of the malaria risk at district level.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationKenya has high variability in malaria parasite prevalence across the country, with endemic counties around Lake Victoria and on the coast, epidemic-prone counties in the highland areas, seasonal counties and low risk counties around Nairobi.
“High variability in malaria parasite prevalence across the country, with endemic counties around Lake Victoria and on the coast, epidemic-prone counties in the highland areas, seasonal counties and low risk counties around Nairobi [51–53]”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [51] Macharia PM, Giorgi E, Noor AM, Waqo E, Kiptui R, Okiro EA, et al. Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya. Malar J. 2018;17:340. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [52] Ministry of Health Kenya. The epidemiology and control profile of malaria in Kenya: reviewing the evidence to guide the future vector control. Nairobi, 2016.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [53] Noor AM, Gething PW, Alegana VA, Patil AP, Hay SI, Muchiri E, et al. The risks of malaria infection in Kenya in 2009. BMC Infect Dis. 2009;9:180. source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim. The paper may give no reason why it holds.
PremisereasoningIn contexts lacking complete, good quality routine health data, modelled PfPR maps provide an indication of the epidemiological characteristics of malaria transmission sub-nationally.
“In contexts lacking complete, good quality routine health data, modelled PfPR maps provide an indication of the epidemiological characteristics of malaria transmission sub-nationally.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationMaps have long been used as evidence by national stakeholders to inform policy priorities, strategies and interventions.
“Maps have long been used as evidence by national stakeholders to inform policy priorities, strategies and interventions [3, 18], they represent one form of relevant evidence for health decision-making.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [3] Snow RW, Sartorius B, Kyalo D, Maina J, Amratia P, Mundia CW, et al. The prevalence of Plasmodium falciparum in sub-Saharan Africa since 1900. Nature. 2017;550:515–8. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [18] Snow RW, Noor AM. Malaria risk mapping in Africa: The historical context to the Information for Malaria (INFORM) project. Working Paper in support of the INFORM Project funded by the Department for International Development and the Wellcome Trust, Nairobi, Kenya, 2015.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationAccording to WHO guidelines, all three countries are in the malaria control phase.
“According to the World Health Organization (WHO) guidelines, all three countries are in the malaria control phase [29].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] WHO. Global malaria programme. A framework for malaria elimination. Geneva: World Health Organization; 2017.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenFindings were validated by stakeholders (NMCP representatives and researchers) during a three-day workshop in September 2018.
“Findings were validated by stakeholders (NMCP representatives and researchers) during a three-day workshop in September 2018.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationDRC has homogeneous hyperendemic to holoendemic malaria transmission across the country, except the mountainous area in the eastern provinces (0.2% of the population) and the capital city Kinshasa.
“Homogeneous hyperendemic to holoendemic malaria transmission across the country, with the exception of the mountainous area in the eastern provinces (0.2% of the population), and in the capital city Kinshasa [55, 56]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [55] Taylor SM, Messina JP, Hand CC, Juliano JJ, Muwonga J, Tshefu AK, et al. Molecular malaria epidemiology: mapping and burden estimates for the democratic Republic of the Congo, 2007. PLoS ONE. 2011;6:e16420. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [56] Programme Nationale de Lutte contre le Paludisme (PNLP) An epidemiological profile of malaria in the Democratic Republic of Congo, 2014.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
InterpretationreasoningThe data and indicators utilized by the RBM study and the modelled PfPR maps were different and not comparable.
“The data and the indicators utilized by the two studies were different and not comparable.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningThe fact that one interviewer was external to the country could have allowed the respondents to speak more freely about their perceptions.
“However, the fact that one interviewer was external to the country could have allowed the respondents to speak more freely about their perceptions.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningIt is possible that the presence of the international interviewer could have affected the way the participants replied to the questions.
“It is possible that the presence of the international interviewer could have affected the way the participants replied to the questions.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningGlobal policies, such as the Global Technical Strategy for malaria 2016-2030, requirements from donors, the Global Fund in particular, and increasing support for generation and use of data, would have influenced the perceived needs for production and use of malaria risk maps or stratification.
“Finally, global policies, such as the Global Technical Strategy for malaria 2016–2030, requirements from donors, the Global Fund in particular, and the increasing support in the field for the generation and use of data (for instance through USAID funded project of Measure evaluation) would have influenced the perceived needs for production (and possibly use) malaria risk maps or stratification.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence.
PremisecitationThe political dimension of the choice and use of data by policy makers should be recognized.
“The political dimension of the choice and use of data by policy makers should be recognized [49], as Newman said “while supply of research information is important, it will only be used to inform policy if it is accessed, valued and understood by policymakers” [50].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [49] Paul C, Kramer R, Lesser A, Mutero C, Miranda ML, Dickinson K. Identifying barriers in the malaria control policymaking process in East Africa: insights from stakeholders and a structured literature review. BMC Public Health. 2015;15:862. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [50] Newman K, Fisher C, Shaxson L. Stimulating demand for research evidence: What role for capacity-building? IDS Bull. 2012;43:17–24. source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenNot all of the stakeholders who were identified and contacted were available for interview.
“Not all of the stakeholders who were identified and contacted were available for interview.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationreasoningThis collaboration ensured NMCP involvement in the collection of data and definition of the type of maps to be developed, and consequently facilitated understanding of the data and the process used to develop the map.
“This collaboration ensured NMCP involvement in the collection of data and definition of the type of maps to be developed, and consequently facilitated understanding of the data and the process used to develop the map.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningModelled malaria risk maps could be one tool used to support malaria decision-making across countries.
“Modelled malaria risk maps could be one tool used to support malaria decision-making across countries.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
InterpretationreasoningThe lack of perceived need for malaria risk maps by some stakeholders in countries with homogenous malaria transmission is understandable, as high impact interventions are and will be implemented universally for a significant period of time.
“The lack of perceived need for malaria risk maps by some stakeholders in countries with homogenous malaria transmission is understandable, as high impact interventions are and will be implemented universally for a significant period of time.”
Quote in the paperNot a substantial claim- Rests on an assumption: In countries with homogenous malaria transmission, high impact interventions are and will be implemented universally for a significant period of time.
- Rests on an assumption: Universal coverage among populations at greater risk is the main objective for countries such as DRC and Malawi.
Probably not a substantial claim.
InterpretationreasoningCountries like Malawi and DRC, where the risk is still very high almost everywhere, are facing multiple challenges.
“Conversely countries like Malawi and the DRC, where the risk is still very high almost everywhere, are facing multiple challenges.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningTailored interventions may be appropriate in countries with heterogeneous risk, such as in many Sahelian countries in West Africa and the east and Horn of Africa, including Kenya.
“However, tailored interventions may be appropriate in countries with heterogeneous risk, such as in many Sahelian countries in West Africa and the east and Horn of Africa, including Kenya.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
InterpretationreasoningThe availability of timely, good quality, highly granular data would help to construct clearer maps and allow stakeholders to appreciate the quality of the map and understand what they are showing.
“The availability of timely, good quality, highly granular data would help to construct clearer maps and allow stakeholders to appreciate the quality of the map and understand what they are showing.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningPerceptions of the utility of these maps may have differed in countries with varied geographical and epidemiological contexts.
“Perceptions of the utility of these maps may have differed in countries with varied geographical and epidemiological contexts.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningEvidence and information to guide interventions, including malaria risk maps trusted and understood by the policy makers, are key in supporting national stakeholders to achieve their goal of effective malaria control.
“Evidence and information to guide interventions, including malaria risk maps trusted and understood by the policy makers, are key in supporting national stakeholders to achieve their goal of effective malaria control.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningIt is possible that those interviewed were more interested in malaria epidemiology and risk maps or in talking with researchers and therefore held different views to those who did not participate.
“It is possible that those interviewed were more interested in malaria epidemiology and risk maps or in talking with researchers and therefore held different views to those who did not participate.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
Interpretationnone givenThe potential to create maps that identify sub-national pockets of high risk of malaria is dependent upon the quality of the routine data available; prevalence data will not allow this identification.
“The potential to create maps that identify sub-national pockets of high risk of malaria is dependent upon the quality of the routine data available, prevalence data will not allow this identification.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Estimates of sub-national malaria risk from modelled PfPR maps can be used to prioritize and target interventions leading to a more appropriate allocation of resources and more efficient prevention and response.
“In their application to national malaria control, the assumption is that these estimates of sub-national malaria risk can be used to prioritize and target interventions leading to a more appropriate allocation of resources and more efficient prevention and response [8].”
The paper relies on this without support.
In countries with homogenous malaria transmission, high impact interventions are and will be implemented universally for a significant period of time.
“The lack of perceived need for malaria risk maps by some stakeholders in countries with homogenous malaria transmission is understandable, as high impact interventions are and will be implemented universally for a significant period of time.”
The paper relies on this without support.
Universal coverage among populations at greater risk is the main objective for countries such as DRC and Malawi.
“Universal coverage among populations at greater risk is the main objective for countries such as DRC and Malawi.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Kenyan LLIN coverage is described as both 16 and 36 counties
MajorThe results say LLIN delivery was limited to 16 endemic counties, while Table 1 says LLINs were delivered in 23 endemic and epidemic-prone counties and 13 malaria-prone counties.
“In Kenya, the delivery of LLINs and IPTp was only implemented in the 16 endemic counties of the Lake and Coast regions (out of 47 counties in total)”
“LLINs are delivered through mass and routine distribution, including at ANC and Child Welfare Clinics, in the 23 endemic and epidemic-prone and the 13 malaria-prone counties”
Kenyan IPTp coverage is described as both 16 and 14 counties
MinorThe results say IPTp was implemented only in 16 Lake and Coast endemic counties, whereas Table 1 says it was implemented in 14 lake and coastal endemic counties.
“In Kenya, the delivery of LLINs and IPTp was only implemented in the 16 endemic counties of the Lake and Coast regions (out of 47 counties in total)”
“IPTp 3 plus is delivered at routine ANC visits and implemented in the 14 lake and coastal endemic counties”
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Progress and remaining priorities in geospatial analysis of health inequalities
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Metadata
- Authors
- Ghilardi, L., Okello, G., Nyondo-Mipando, L., Chirambo, C. M., Malongo, F., Hoyt, J., Lee, J., Sedekia, Y., Parkhurst, J., Lines, J., Snow, R. W., Lynch, C. A., & Webster, J.
- Affiliations
- London School of Hygiene & Tropical Medicine (GB)
- Kenya Medical Research Institute (KE)
- University of Malawi (MW)
- University of Kinshasa (CD)
- World Vision International (GB)
- Mwanza Intervention Trials Unit (TZ)
- London School of Economics and Political Science (GB)
- Corresponding author
- Ghilardi, Ludovica
- ORCID
- Venue
- Malaria Journal
- Published
- 2020-10-02
- Volume
- 19
- Issue
- 1
- Pages
- 353-353
- ISSN
- 1475-2875 (ISSN-L)
- PMC
- PMC7530951
- OpenAlex
- W3090924185
- Semantic Scholar
- 593bb869dd59f574bc35ec57b99d03eaa0c1a50f
- Cited by
- 16
- References
- 48
- Citations by year
- 2026: 3 · 2024: 2 · 2023: 2 · 2022: 4 · 2021: 3 · 2020: 2
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Malaria Journal (publishedVersion, cc-by)
- Research Square (submittedVersion, cc-by)
- PubMed (publishedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion, other-oa)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Funders
- Department for International Development (DFID Programme Code 203155)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
- Social Sciences › Arts and Humanities › History › History of Medicine and Tropical Health
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Keywords
- malaria control planning, decision-makers, stakeholder perspectives, spatial epidemiology, long-lasting insecticidal nets, indoor residual spraying, intermittent preventive treatment in pregnancy, Kenya, Malawi, Democratic Republic of the Congo
- MeSH terms
- Decision Making, Humans, Kenya, Malaria, Malawi, Democratic Republic of the Congo, Risk Assessment, Geographic Mapping
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-11-09, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-11-09 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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