Predicting the public health impact of a malaria transmission-blocking vaccine

dc.contributor.authorMesa, Daniela Olivera
dc.contributor.authorDa, Dari F.
dc.contributor.authorChallenger, Joseph D
dc.date.accessioned2023-06-10T10:43:40Z
dc.date.available2023-06-10T10:43:40Z
dc.date.issued2021-03-08
dc.description.abstractTransmission-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 malariaen_US
dc.description.sponsorshipACE: Bio-technological Innovation for the Elimination of Vector- Borne Diseasesen_US
dc.identifier.issn2041-1723
dc.identifier.issn2041-1723
dc.identifier.urihttp://hdl.handle.net/123456789/1942
dc.language.isoenen_US
dc.publisherNature Communicationsen_US
dc.relation.ispartofseriesNature Communications;(2021) 12
dc.subjectComputational modelsen_US
dc.subjectEpidemiologyen_US
dc.subjectMalariaen_US
dc.subjectVaccinesen_US
dc.subjectBurkina Fasoen_US
dc.subjectUniversité Nazi Bonien_US
dc.subjectCEA-ITECH_MTVen_US
dc.subjectACE: Bio-technological Innovation for the Elimination of Vector- Borne Diseasesen_US
dc.subjectR. Serge Yerbangaen_US
dc.subjectThierry Lefèvreen_US
dc.titlePredicting the public health impact of a malaria transmission-blocking vaccineen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Predicting.pdf
Size:
1.67 MB
Format:
Adobe Portable Document Format
Description:
Main article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections