Identifying Knowledge Gaps through the Systematic Review of Temperature-Driven Variability in the Competence of Aedes aegypti and Ae. albopictus for Chikungunya Virus

被引:3
作者
Christofferson, Rebecca C. [1 ]
Turner, Erik A. [1 ]
Pena-Garcia, Victor Hugo [2 ]
机构
[1] Louisiana State Univ, Sch Vet Med, Baton Rouge, LA 70803 USA
[2] Stanford Univ, Dept Biol, Stanford, CA 94305 USA
关键词
chikungunya; extrinsic incubation period; EIP; extrinsic incubation temperature; EIT; transmission; Aedes aegypti; Aedes albopictus; temperature; EXTRINSIC INCUBATION-TEMPERATURE; DIPTERA-CULICIDAE; CLIMATE-CHANGE; VECTORIAL CAPACITY; DISEASE PREVENTION; DENGUE; TRANSMISSION; SUSCEPTIBILITY; INFECTION; OUTBREAK;
D O I
10.3390/pathogens12111368
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Temperature is a well-known effector of several transmission factors of mosquito-borne viruses, including within mosquito dynamics. These dynamics are often characterized by vector competence and the extrinsic incubation period (EIP). Vector competence is the intrinsic ability of a mosquito population to become infected with and transmit a virus, while EIP is the time it takes for the virus to reach the salivary glands and be expectorated following an infectious bloodmeal. Temperatures outside the optimal range act on life traits, decreasing transmission potential, while increasing temperature within the optimal range correlates to increasing vector competence and a decreased EIP. These relatively well-studied effects of other Aedes borne viruses (dengue and Zika) are used to make predictions about transmission efficiency, including the challenges presented by urban heat islands and climate change. However, the knowledge of temperature and chikungunya (CHIKV) dynamics within its two primary vectors-Ae. aegypti and Ae. albopictus-remains less characterized, even though CHIKV remains a virus of public-health importance. Here, we review the literature and summarize the state of the literature on CHIKV and temperature dependence of vector competence and EIP and use these data to demonstrate how the remaining knowledge gap might confound the ability to adequately predict and, thus, prepare for future outbreaks.
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