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Journal articles

Predicting the likelihood and intensity of mosquito infection from sex specific Plasmodium falciparum gametocyte density

John Bradley 1 Will Stone 2 Dari F Da 3 Isabelle Morlais 4 Alassane Dicko 5 Anna Cohuet 6 Wamdaogo Guelbéogo 7 Almahamoudou Mahamar 8 Sandrine Nsango 9 Harouna Soumaré Halimatou Diawara 5 Kjerstin Lanke 10 Wouter Graumans 2 Rianne Siebelink-Stoter 2 Marga van de Vegte-Bolmer 2 Ingrid Chen Alfred Tiono 7 Bronner Pamplona Gonçalves Roland Gosling Robert W. Sauerwein 11 Chris Drakeley 1 Thomas Churcher 12 Teun Bousema 13 
1 LSHTM - London School of Hygiene and Tropical Medicine
2 Radboud University Medical Center [Nijmegen]
3 IRSS - Institut de Recherche en Sciences de la Santé
4 MIVEGEC - Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle
5 Département d'Epidémiologie des Affections parasitaires, Malaria Research and training center Université de Bamako, Mali
6 MIVEGEC-TRIAD - Transmission-Interactions-Adaptations hôtes/vecteurs/pathogènes
ESV - Evolution des Systèmes Vectoriels
7 CNRFP - Centre National de Recherche et de Formation sur le Paludisme [Ouagadougou, Burkina Faso]
8 USTTB - Université des sciences, des techniques et des technologies de Bamako
9 Université de Douala
10 Department of Medical Microbiology
11 Department of Medical Microbiology
12 DIDE - Department of Infectious Disease Epidemiology [London]
13 Department of Immunology and Infection
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Journal articles
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https://hal.ird.fr/ird-02897061
Contributor : Isabelle MORLAIS Connect in order to contact the contributor
Submitted on : Thursday, May 27, 2021 - 8:07:43 PM
Last modification on : Tuesday, June 7, 2022 - 10:24:01 AM
Long-term archiving on: : Saturday, August 28, 2021 - 8:16:48 PM

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John Bradley, Will Stone, Dari F Da, Isabelle Morlais, Alassane Dicko, et al.. Predicting the likelihood and intensity of mosquito infection from sex specific Plasmodium falciparum gametocyte density. eLife, eLife Sciences Publication, 2018, 7, ⟨10.7554/eLife.34463⟩. ⟨ird-02897061⟩

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