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Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection
Transmission reduction is a key component of global efforts to control and eliminate malaria; yet, it is unclear how the density of transmission stages (gametocytes) influences infection (proportion of mosquitoes infected). Human to mosquito transmission was assessed using 171 direct mosquito feedin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660740/ https://www.ncbi.nlm.nih.gov/pubmed/23705071 http://dx.doi.org/10.7554/eLife.00626 |
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author | Churcher, Thomas S Bousema, Teun Walker, Martin Drakeley, Chris Schneider, Petra Ouédraogo, André Lin Basáñez, María-Gloria |
author_facet | Churcher, Thomas S Bousema, Teun Walker, Martin Drakeley, Chris Schneider, Petra Ouédraogo, André Lin Basáñez, María-Gloria |
author_sort | Churcher, Thomas S |
collection | PubMed |
description | Transmission reduction is a key component of global efforts to control and eliminate malaria; yet, it is unclear how the density of transmission stages (gametocytes) influences infection (proportion of mosquitoes infected). Human to mosquito transmission was assessed using 171 direct mosquito feeding assays conducted in Burkina Faso and Kenya. Plasmodium falciparum infects Anopheles gambiae efficiently at low densities (4% mosquitoes at 1/µl blood), although substantially more (>200/µl) are required to increase infection further. In a site in Burkina Faso, children harbour more gametocytes than adults though the non-linear relationship between gametocyte density and mosquito infection means that (per person) they only contribute slightly more to transmission. This method can be used to determine the reservoir of infection in different endemic settings. Interventions reducing gametocyte density need to be highly effective in order to halt human–mosquito transmission, although their use can be optimised by targeting those contributing the most to transmission. DOI: http://dx.doi.org/10.7554/eLife.00626.001 |
format | Online Article Text |
id | pubmed-3660740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-36607402013-05-23 Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection Churcher, Thomas S Bousema, Teun Walker, Martin Drakeley, Chris Schneider, Petra Ouédraogo, André Lin Basáñez, María-Gloria eLife Epidemiology and Global Health Transmission reduction is a key component of global efforts to control and eliminate malaria; yet, it is unclear how the density of transmission stages (gametocytes) influences infection (proportion of mosquitoes infected). Human to mosquito transmission was assessed using 171 direct mosquito feeding assays conducted in Burkina Faso and Kenya. Plasmodium falciparum infects Anopheles gambiae efficiently at low densities (4% mosquitoes at 1/µl blood), although substantially more (>200/µl) are required to increase infection further. In a site in Burkina Faso, children harbour more gametocytes than adults though the non-linear relationship between gametocyte density and mosquito infection means that (per person) they only contribute slightly more to transmission. This method can be used to determine the reservoir of infection in different endemic settings. Interventions reducing gametocyte density need to be highly effective in order to halt human–mosquito transmission, although their use can be optimised by targeting those contributing the most to transmission. DOI: http://dx.doi.org/10.7554/eLife.00626.001 eLife Sciences Publications, Ltd 2013-05-21 /pmc/articles/PMC3660740/ /pubmed/23705071 http://dx.doi.org/10.7554/eLife.00626 Text en Copyright © 2013, Churcher et al http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Churcher, Thomas S Bousema, Teun Walker, Martin Drakeley, Chris Schneider, Petra Ouédraogo, André Lin Basáñez, María-Gloria Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection |
title | Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection |
title_full | Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection |
title_fullStr | Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection |
title_full_unstemmed | Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection |
title_short | Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection |
title_sort | predicting mosquito infection from plasmodium falciparum gametocyte density and estimating the reservoir of infection |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660740/ https://www.ncbi.nlm.nih.gov/pubmed/23705071 http://dx.doi.org/10.7554/eLife.00626 |
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