Predicting the likelihood and intensity of mosquito infection from sex specific Plasmodium falciparum gametocyte density
- London School of Hygiene and Tropical Medicine, United Kingdom
- Radboud University Medical Center, Netherlands
- Institut de Recherche en Sciences de la Santé, Burkina Faso
- Institut de Recherche pour le Développement, France
- University of Science, Techniques and Technologies of Bamako, Mali
- Centre National de Recherche et de Formation sur le Paludisme, Burkina Faso
- Université de Douala, Cameroon
- University of California, San Francisco, United States
- Imperial College London, United Kingdom
Abstract
Understanding the importance of gametocyte density on human-to-mosquito transmission is of immediate relevance to malaria control. Previous work (Churcher et al., 2013) indicated a complex relationship between gametocyte density and mosquito infection. Here we use data from 148 feeding experiments on naturally infected gametocyte carriers to show that the relationship is much simpler and depends on both female and male parasite density. The proportion of mosquitoes infected is primarily determined by the density of female gametocytes though transmission from low gametocyte densities may be impeded by a lack of male parasites. Improved precision of gametocyte quantification simplifies the shape of the relationship with infection increasing rapidly before plateauing at higher densities. The mean number of oocysts per mosquito rises quickly with gametocyte density but continues to increase across densities examined. The work highlights the importance of measuring both female and male gametocyte density when estimating the human reservoir of infection.
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Author details
Funding
Bill and Melinda Gates Foundation (AFIRM OPP1034789)
- Chris Drakeley
- Teun Bousema
European Commission (ERC-2014-StG 639776)
- Will Stone
- Teun Bousema
PATH (Malaria Vaccine Iniative)
- Dari FA DA
- Isabelle Morlais
- Anna Cohuet
- Teun Bousema
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2018, Bradley et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Predicting the likelihood and intensity of mosquito infection from sex specific Plasmodium falciparum gametocyte density
eLife 7:e34463.
https://doi.org/10.7554/eLife.34463
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