Imperial College London
Portrait Picture

ProfessorThomasChurcher

Faculty of Medicine, School of Public Health

Professor of Infectious Disease Dynamics
 
 
 
//

Contact

 

thomas.churcher

 
 
//

Location

 

G35Medical SchoolSt Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Bradly:2018:10.7554/eLife.34463,
author = {Bradly, J and Stone, W and Da, DF and Morlais, I and Dicko, A and Cohuet, A and Guelbeogo, WM and Mahamar, A and Nsango, S and Soumare, HM and Diawara, H and Lanke, K and Graumans, W and Siebelink-Stoter, R and van, de Vegte-Bolmer M and Chen, I and Tiono, A and Goncalves, BP and Gosling, R and Sauerwein, RW and Drakeley, C and Churcher, TS and Bousema, T},
doi = {10.7554/eLife.34463},
journal = {ELIFE},
title = {Predicting the likelihood and intensity of mosquito infection from sex specific Plasmodium falciparum gametocyte density},
url = {http://dx.doi.org/10.7554/eLife.34463},
volume = {7},
year = {2018}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Bradly,J
AU  - Stone,W
AU  - Da,DF
AU  - Morlais,I
AU  - Dicko,A
AU  - Cohuet,A
AU  - Guelbeogo,WM
AU  - Mahamar,A
AU  - Nsango,S
AU  - Soumare,HM
AU  - Diawara,H
AU  - Lanke,K
AU  - Graumans,W
AU  - Siebelink-Stoter,R
AU  - van,de Vegte-Bolmer M
AU  - Chen,I
AU  - Tiono,A
AU  - Goncalves,BP
AU  - Gosling,R
AU  - Sauerwein,RW
AU  - Drakeley,C
AU  - Churcher,TS
AU  - Bousema,T
DO  - 10.7554/eLife.34463
PY  - 2018///
SN  - 2050-084X
TI  - Predicting the likelihood and intensity of mosquito infection from sex specific Plasmodium falciparum gametocyte density
T2  - ELIFE
UR  - http://dx.doi.org/10.7554/eLife.34463
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000435892400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/60637
VL  - 7
ER  -
Download