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Mapping the burden of cholera in sub-Saharan Africa and implications for control: an analysis of data across geographical scales
Open accessAbstract
BACKGROUND: Cholera remains a persistent health problem in sub-Saharan Africa and worldwide. Cholera can be controlled through appropriate water and sanitation, or by oral cholera vaccination, which provides transient (∼3 years) protection, although vaccine supplies remain scarce. We aimed to map cholera burden in sub-Saharan Africa and assess how geographical targeting could lead to more efficient interventions. METHODS: We combined information on cholera incidence in sub-Saharan Africa (excluding Djibouti and Eritrea) from 2010 to 2016 from datasets from WHO, Médecins Sans Frontières, ProMED, ReliefWeb, ministries of health, and the scientific literature. We divided the study region into 20 km × 20 km grid cells and modelled annual cholera incidence in each grid cell assuming a Poisson process adjusted for covariates and spatially correlated random effects. We combined these findings with data on population distribution to estimate the number of people living in areas of high cholera incidence (>1 case per 1000 people per year). We further estimated the reduction in cholera incidence that could be achieved by targeting cholera prevention and control interventions at areas of high cholera incidence. FINDINGS: We included 279 datasets covering 2283 locations in our analyses. In sub-Saharan Africa (excluding Djibouti and Eritrea), a mean of 141 918 cholera cases (95% credible interval [CrI] 141 538-146 505) were reported per year. 4·0% (95% CrI 1·7-16·8) of districts, home to 87·2 million people (95% CrI 60·3 million to 118·9 million), have high cholera incidence. By focusing on the highest incidence districts first, effective targeted interventions could eliminate 50% of the region's cholera by covering 35·3 million people (95% CrI 26·3 million to 62·0 million), which is less than 4% of the total population. INTERPRETATION: Although cholera occurs throughout sub-Saharan Africa, its highest incidence is concentrated in a small proportion of the continent. Prioritising high-risk areas could substantially increase the efficiency of cholera control programmes. FUNDING: The Bill & Melinda Gates Foundation.
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“In SSA, cholera is still endemic and is responsible for 141,918 infections per year (95% CI 141,538-146,505).52”
From Antimicrobial Resistance Rates and Surveillance in Sub-Saharan Africa: Where Are We Now? (2022) · cites this paper as [52]
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Cites
Inference from iterative simulation using multiple sequences
Gelman, A., & Rubin, D. B. (1992) · Statistical Science · doi:10.1214/ss/1177011136 · Cited by 16,627
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
Friedl, M. A., Sulla‐Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A. M., & Huang, X. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.08.016 · Cited by 3,501
raster: Geographic Data Analysis and Modeling
Hijmans, R. J. (2010) · doi:10.32614/cran.package.raster · Cited by 3,012
(2017) · The SHAFR Guide Online · doi:10.1163/2468-1733_shafr_sim010030025 · Cited by 2,357
WorldPop, open data for spatial demography
Tatem, A. J. (2017) · Scientific Data · doi:10.1038/sdata.2017.4 · Cited by 1,182
World Development Indicators 2015
Bank, W. (2015) · World Bank, Washington, DC eBooks · doi:10.1596/978-1-4648-0440-3 · Cited by 738
World Development Indicators 2016
Bank, W. (2016) · The World Bank Open Knowledge Repository (World Bank) · doi:10.1596/978-1-4648-0683-4 · Cited by 733
Pullan, R. L., Freeman, M. C., Gething, P. W., & BROOKER, S. J. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001626 · Cited by 225
Bi, Q., Ferreras, E., Pezzoli, L., Legros, D., Ivers, L. C., Date, K., Qadri, F., Digilio, L., Sack, D. A., Ali, M., et al. (2017) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30359-6 · Cited by 172
Self-citationAlam, M., Hasan, N. A., Sadique, A., Bhuiyan, N. A., Ahmed, K. U., Nusrin, S., Nair, G. B., Siddique, A., Sack, R. B., Sack, D. A., et al. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.00066-06 · Cited by 133
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Metadata
- Authors
- Lessler, J., Moore, S. M., Luquero, F. J., McKay, H. S., Grais, R., Henkens, M., Mengel, M., Dunoyer, J., M'bangombe, M., Lee, E. C., Djingarey, M. H., Sudre, B., Bompangue, D., Fraser, R. S. M., Abubakar, A., Perea, W., Legros, D., & Azman, A. S.
- Affiliations
- Johns Hopkins University (US)
- University of Notre Dame (US)
- Epicentre (FR)
- Médecins Sans Frontières (BE)
- Agence de Médecine Préventive (FR)
- United Nations Children's Fund (US)
- World Health Organization Regional Office for Africa (CG)
- Ministry of Public Health (CD)
- International Federation of Red Cross and Red Crescent Societies (CH)
- World Health Organization Regional Office for the Eastern Mediterranean (EG)
- World Health Organization (CH)
- Corresponding author
- Lessler, Justin
- ORCID
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 391
- Issue
- 10133
- Pages
- 1908-1915
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC5946088
- OpenAlex
- W2792363855
- Cited by
- 192
- References
- 17
- Citations by year
- 2026: 12 · 2025: 24 · 2024: 33 · 2023: 27 · 2022: 22 · 2021: 21 · 2020: 22 · 2019: 20 · 2018: 11
- FWCI
- 13.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Lancet (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Medecins Sans Frontieres Field Research (Medecins Sans Frontieres) (submittedVersion)
- Greater South Information System
- Funders
- Bill and Melinda Gates Foundation (OPP10892431, OPP1171700, OPP1127318)
- Topics
- Life Sciences › Immunology and Microbiology › Microbiology › Vibrio bacteria research studies
- Life Sciences › Agricultural and Biological Sciences › Food Science › Salmonella and Campylobacter epidemiology
- Life Sciences › Immunology and Microbiology › Microbiology › Bacterial Infections and Vaccines
- Keywords
- cholera, cholera incidence, sub-Saharan Africa, targeted interventions, cholera control, water and sanitation, spatially correlated random effects
- MeSH terms
- Cholera, Demography, Humans, Markov Chains, Population Density, Sanitation, Vaccination, Incidence, Africa South of the Sahara, Mass Vaccination
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