Predicting the public health impact of a malaria transmission-blocking vaccine
dc.contributor.author | Mesa, Daniela Olivera | |
dc.contributor.author | Da, Dari F. | |
dc.contributor.author | Challenger, Joseph D | |
dc.date.accessioned | 2023-06-10T10:43:40Z | |
dc.date.available | 2023-06-10T10:43:40Z | |
dc.date.issued | 2021-03-08 | |
dc.description.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 | en_US |
dc.description.sponsorship | ACE: Bio-technological Innovation for the Elimination of Vector- Borne Diseases | en_US |
dc.identifier.issn | 2041-1723 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | http://hdl.handle.net/123456789/1942 | |
dc.language.iso | en | en_US |
dc.publisher | Nature Communications | en_US |
dc.relation.ispartofseries | Nature Communications;(2021) 12 | |
dc.subject | Computational models | en_US |
dc.subject | Epidemiology | en_US |
dc.subject | Malaria | en_US |
dc.subject | Vaccines | en_US |
dc.subject | Burkina Faso | en_US |
dc.subject | Université Nazi Boni | en_US |
dc.subject | CEA-ITECH_MTV | en_US |
dc.subject | ACE: Bio-technological Innovation for the Elimination of Vector- Borne Diseases | en_US |
dc.subject | R. Serge Yerbanga | en_US |
dc.subject | Thierry Lefèvre | en_US |
dc.title | Predicting the public health impact of a malaria transmission-blocking vaccine | en_US |
dc.type | Article | en_US |