Reducing Plasmodium falciparum Malaria Transmission in Africa: A Model-Based Evaluation of Intervention Strategies
Open accessAbstract
BACKGROUND: Over the past decade malaria intervention coverage has been scaled up across Africa. However, it remains unclear what overall reduction in transmission is achievable using currently available tools. METHODS AND FINDINGS: We developed an individual-based simulation model for Plasmodium falciparum transmission in an African context incorporating the three major vector species (Anopheles gambiae s.s., An. arabiensis, and An. funestus) with parameters obtained by fitting to parasite prevalence data from 34 transmission settings across Africa. We incorporated the effect of the switch to artemisinin-combination therapy (ACT) and increasing coverage of long-lasting insecticide treated nets (LLINs) from the year 2000 onwards. We then explored the impact on transmission of continued roll-out of LLINs, additional rounds of indoor residual spraying (IRS), mass screening and treatment (MSAT), and a future RTS,S/AS01 vaccine in six representative settings with varying transmission intensity (as summarized by the annual entomological inoculation rate, EIR: 1 setting with low, 3 with moderate, and 2 with high EIRs), vector-species combinations, and patterns of seasonality. In all settings we considered a realistic target of 80% coverage of interventions. In the low-transmission setting (EIR approximately 3 ibppy [infectious bites per person per year]), LLINs have the potential to reduce malaria transmission to low levels (<1% parasite prevalence in all age-groups) provided usage levels are high and sustained. In two of the moderate-transmission settings (EIR approximately 43 and 81 ibppy), additional rounds of IRS with DDT coupled with MSAT could drive parasite prevalence below a 1% threshold. However, in the third (EIR = 46) with An. arabiensis prevailing, these interventions are insufficient to reach this threshold. In both high-transmission settings (EIR approximately 586 and 675 ibppy), either unrealistically high coverage levels (>90%) or novel tools and/or substantial social improvements will be required, although considerable reductions in prevalence can be achieved with existing tools and realistic coverage levels. CONCLUSIONS: Interventions using current tools can result in major reductions in P. falciparum malaria transmission and the associated disease burden in Africa. Reduction to the 1% parasite prevalence threshold is possible in low- to moderate-transmission settings when vectors are primarily endophilic (indoor-resting), provided a comprehensive and sustained intervention program is achieved through roll-out of interventions. In high-transmission settings and those in which vectors are mainly exophilic (outdoor-resting), additional new tools that target exophagic (outdoor-biting), exophilic, and partly zoophagic mosquitoes will be required.
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Advanced agent-based malaria models tend to neglect larval habitat representation.
“While widely used in malaria intervention studies (Galactionova et al., 2021), these models tend to neglect the larval habitat representation (Griffin et al., 2010; T. Smith et al., 2006) or rely only on rainfall to quantify larval habitats (Eckhoff, 2011).”
From Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission Using a Hydrology‐Based Model (2023) · cites this paper as Griffin et al., 2010
The Discussion says Griffin et al.’s model uses a simple vector cycle with a constant birth rate and treats representation of competition for larval habitats as a possible extension. This supports the point for their model, but the paper does not establish that advanced agent-based malaria models generally tend to neglect larval habitats. The Methods also specify that individuals represent people, while vectors are aggregated populations. No page numbers were provided in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe result of spatial repellency will be reductions in numbers of both humans and vectors being infected and this result has a dramatic effect on mathematical models of malaria transmission.
“The result will be reductions in numbers of both humans and vectors being infected and this result has a dramatic effect on mathematical models of malaria transmission [27].”
From Spatial repellents: from discovery and development to evidence-based validation (2012) · cites this paper as [27]
The Methods > Interventions section models repellency from insecticide-treated nets and indoor residual spraying, including protection of people and reduced transmission from infected people to susceptible mosquitoes. The Results > Continued Scale-Up of LLINs section predicts reduced transmission, but the paper does not establish that spatial repellency alone reduces infections in both humans and vectors or has a dramatic effect on mathematical models. (LLM, conf=0.78)
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“While widely used in malaria intervention studies (Galactionova et al., 2021), these models tend to neglect the larval habitat representation (Griffin et al., 2010; T. Smith et al., 2006) or rely only on rainfall to quantify larval habitats (Eckhoff, 2011).”
Background
- Authors
- Griffin, J. T., Hollingsworth, T. D., Okell, L. C., Churcher, T. S., White, M., Hinsley, W., Bousema, T., Drakeley, C. J., Ferguson, N. M., Basáñez, M.-G., & Ghani, A. C.
- Affiliations
- Imperial College London (GB)
- London School of Hygiene & Tropical Medicine (GB)
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- Ghani, Azra C.
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- 1549-1676
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- Microsoft Research
- Imperial College London
- European Commission (223736)
- Medical Research Council
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
- Keywords
- Plasmodium falciparum, malaria transmission, malaria control interventions, long-lasting insecticidal nets, indoor residual spraying, RTS,S/AS01 vaccine, artemisinin-based combination therapy, Anopheles gambiae, Anopheles arabiensis, Anopheles funestus, parasite prevalence, entomological inoculation rate, intervention coverage, agent-based modeling, Africa, transmission intensity, DDT, malaria elimination
- MeSH terms
- Africa, Animals, Anopheles, Humans, Insect Vectors, Models, Theoretical, Mosquito Control, Plasmodium falciparum, Malaria, Falciparum, Artemisinins
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.
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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