In this section
@article{Challenger:2021:10.1038/s41467-021-21775-3,
author = {Challenger, J and Olivera, Mesa D and Da, DF and Yerbanga, RS and Lefèvre, T and Cohuet, A and Churcher, TS},
doi = {10.1038/s41467-021-21775-3},
journal = {Nature Communications},
pages = {1--12},
title = {Predicting the public health impact of a malaria transmission-blocking vaccine},
url = {http://dx.doi.org/10.1038/s41467-021-21775-3},
volume = {12},
year = {2021}
}
TY - JOUR
AB - 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.
AU - Challenger,J
AU - Olivera,Mesa D
AU - Da,DF
AU - Yerbanga,RS
AU - Lefèvre,T
AU - Cohuet,A
AU - Churcher,TS
DO - 10.1038/s41467-021-21775-3
EP - 12
PY - 2021///
SN - 2041-1723
SP - 1
TI - Predicting the public health impact of a malaria transmission-blocking vaccine
T2 - Nature Communications
UR - http://dx.doi.org/10.1038/s41467-021-21775-3
UR - https://www.nature.com/articles/s41467-021-21775-3
UR - http://hdl.handle.net/10044/1/87857
VL - 12
ER -
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