Modelling the effect of temperature on transmission of dengue

被引:65
作者
Barbazan, P. [2 ]
Guiserix, M. [1 ]
Boonyuan, W. [2 ]
Tuntaprasart, W. [3 ]
Pontier, D. [1 ]
Gonzalez, J. -P. [2 ,4 ]
机构
[1] Univ Lyon 1, CNRS, Lab Biometrie & Biol Evolut, UMR 5558, F-69622 Villeurbanne, France
[2] Mahidol Univ, Fac Sci, Ctr Excellence Vectors & Vector Borne Dis, Inst Res Dev,UMR Emerging Viral Pathogens 190, Bangkok 10400, Thailand
[3] Mahidol Univ, Fac Trop Med, Dept Med Entomol, Bangkok, Thailand
[4] Int Ctr Med Res, Franceville, Gabon
关键词
Bloodmeals; daily survival rate; dengue transmission; extrinsic incubation period; gonotrophic cycle; infective bites; model; temperature; vector; AEDES-AEGYPTI DIPTERA; LIFE TABLE MODEL; GEOGRAPHIC STRAINS; GONOTROPHIC CYCLE; SUSCEPTIBILITY; OVIPOSITION; POPULATION; ALBOPICTUS; CULICIDAE; INFECTION;
D O I
10.1111/j.1365-2915.2009.00848.x
中图分类号
Q96 [昆虫学];
学科分类号
摘要
The main entomological parameters involved in the rate of dengue virus transmission include the longevity of female mosquitoes, the time interval between bites and the extrinsic incubation period of the virus. Field and laboratory data provide estimates for these parameters, but their interactions with other factors (e.g. host population density and environmental parameters) make their integration into a transmission model quite complex. To estimate the impact of these parameters on transmission, we developed a model of virus transmission by a vector population which predicts the number of potentially infective bites under a range of temperatures and entomological parameters, including the daily survival rate of females, the interval between bites and the extrinsic incubation period. Results show that in a stable population, an increase in mosquito longevity disproportionately enhances the number of potential transmissions (e.g. by as much as five times when the survival rate rises from 0.80 to 0.95). Halving the length of the biting interval with a 10-degrees C rise in temperature increases the transmission rate by at least 2.4 times. Accordingly, the model can predict changes in dengue transmission associated with short-term variation in seasonal temperature and also with potentially long-lasting increases in global temperatures.
引用
收藏
页码:66 / 73
页数:8
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