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

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Nature Communications
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
Computational models, Epidemiology, Malaria, Vaccines, Burkina Faso, Université Nazi Boni, CEA-ITECH_MTV, ACE: Bio-technological Innovation for the Elimination of Vector- Borne Diseases, R. Serge Yerbanga, Thierry Lefèvre