Imperial College London

Dr Samraat Pawar

Faculty of Natural SciencesDepartment of Life Sciences (Silwood Park)

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 2213s.pawar CV

 
 
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Location

 

2.4KennedySilwood Park

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Summary

 

Publications

Citation

BibTex format

@article{Mordecai:2013:10.1111/ele.12015,
author = {Mordecai, EA and Paaijmans, KP and Johnson, LR and Balzer, C and Ben-Horin, T and DeMoor, E and McNally, A and Pawar, S and Ryan, SJ and Smith, TC and Lafferty, KD},
doi = {10.1111/ele.12015},
journal = {Ecology Letters},
pages = {22--30},
title = {Optimal temperature for malaria transmission is dramatically lower than previously predicted},
url = {http://dx.doi.org/10.1111/ele.12015},
volume = {16},
year = {2013}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The ecology of mosquito vectors and malaria parasites affect the incidence, seasonal transmission and geographical range of malaria. Most malaria models to date assume constant or linear responses of mosquito and parasite life-history traits to temperature, predicting optimal transmission at 31 °C. These models are at odds with field observations of transmission dating back nearly a century. We build a model with more realistic ecological assumptions about the thermal physiology of insects. Our model, which includes empirically derived nonlinear thermal responses, predicts optimal malaria transmission at 25 °C (6 °C lower than previous models). Moreover, the model predicts that transmission decreases dramatically at temperatures > 28 °C, altering predictions about how climate change will affect malaria. A large data set on malaria transmission risk in Africa validates both the 25 °C optimum and the decline above 28 °C. Using these more accurate nonlinear thermal-response models will aid in understanding the effects of current and future temperature regimes on disease transmission.
AU - Mordecai,EA
AU - Paaijmans,KP
AU - Johnson,LR
AU - Balzer,C
AU - Ben-Horin,T
AU - DeMoor,E
AU - McNally,A
AU - Pawar,S
AU - Ryan,SJ
AU - Smith,TC
AU - Lafferty,KD
DO - 10.1111/ele.12015
EP - 30
PY - 2013///
SP - 22
TI - Optimal temperature for malaria transmission is dramatically lower than previously predicted
T2 - Ecology Letters
UR - http://dx.doi.org/10.1111/ele.12015
VL - 16
ER -