Author
Listed:
- Joseph D. Challenger
(Imperial College London)
- Daniela Olivera Mesa
(Imperial College London)
- Dari F. Da
(Institut de Recherche en Sciences de la Santé)
- R. Serge Yerbanga
(Institut de Recherche en Sciences de la Santé
Institut des Sciences et Techniques)
- Thierry Lefèvre
(MIVEGEC, University of Montpellier, CNRS, IRD
Centre de Recherche en Écologie et Évolution de la Santé (CREES))
- Anna Cohuet
(MIVEGEC, University of Montpellier, CNRS, IRD)
- Thomas S. Churcher
(Imperial College London)
Abstract
Transmission-blocking vaccines that interrupt malaria transmission from humans to mosquitoes are being tested in early clinical trials. The activity of such a vaccine is commonly evaluated using membrane-feeding assays. Understanding the field efficacy of such a vaccine requires knowledge of how heavily infected wild, naturally blood-fed mosquitoes are, as this indicates how difficult it will be to block transmission. Here we use data on naturally infected mosquitoes collected in Burkina Faso to translate the laboratory-estimated activity into an estimated activity in the field. A transmission dynamics model is then utilised to predict a transmission-blocking vaccine’s public health impact alongside existing interventions. The model suggests that school-aged children are an attractive population to target for vaccination. Benefits of vaccination are distributed across the population, averting the greatest number of cases in younger children. Utilising a transmission-blocking vaccine alongside existing interventions could have a substantial impact against malaria.
Suggested Citation
Joseph D. Challenger & Daniela Olivera Mesa & Dari F. Da & R. Serge Yerbanga & Thierry Lefèvre & Anna Cohuet & Thomas S. Churcher, 2021.
"Predicting the public health impact of a malaria transmission-blocking vaccine,"
Nature Communications, Nature, vol. 12(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21775-3
DOI: 10.1038/s41467-021-21775-3
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