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ARS Home » Plains Area » Manhattan, Kansas » Center for Grain and Animal Health Research » ABADRU » Research » Publications at this Location » Publication #343971
Title: Meta-analyses of Japanese encephalitis virus infection, dissemination, and transmission rates in vectors

Author
item OLIVEIRA, ANA R. - Kansas State University
item Cohnstaedt, Lee
item STRATHE, ERIN - Kansas State University
item HERNANDEZ, LUCIANA ETCHEVE - Kansas State University
item McVey, David
item PIAGGIO, JOSE - Universidad De La República
item CERNICCHIARO, NATALIA - Kansas State University

Submitted to: American Journal of Tropical Medicine and Hygiene
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 12/9/2017
Publication Date: N/A
Citation: N/A

Interpretive Summary: This study provided estimates of virus transmission dynamics to be used as hypothetical references when assessing transmission efficiency of vectors and explored sources of variability for JEV infection rate among vectors. Because transmission efficiency, as part of vector competence assessment, is an important parameter when studying the relative contribution of vectors to potential JEV transmission, our findings contribute to further our knowledge, potentially moving us towards more informed and targeted actions to prevent and control JEV in both affected and susceptible regions worldwide. These transmission estimates also serve as a basis for further studies of these disease associated phenomena if there might be changes in vector competence or viral virulence or host-range susceptibility.

Technical Abstract: To summarize and quantify JEV infection, dissemination, and transmission rates in mosquitoes, using a meta-analysis approach using data from experimental studies, gathered by means of a systematic review of the literature. Random-effects subgroup meta-analysis models by mosquito species were performed to estimate pooled estimates and to calculate the variance between studies for the three outcomes of interest (JEV infection, dissemination, and transmission rates in mosquitoes). To identify sources of heterogeneity among studies and to assess the association between different predictors (mosquito species, virus administration route, incubation period, and diagnostic method) with the outcomes of interest, we fitted meta-regression models. Mosquito species and administration route represented the main sources of heterogeneity associated with JEV infection rate in vectors. Due to a small number of observations or lack of evidence of statistically significant conditional associations between predictors and the other outcomes (dissemination and transmission rates), no multivariable meta-regression models were fitted. This study provided summary effect size estimates to be used as reference when assessing transmission efficiency of vectors and explored sources of variability for JEV infection rate in vectors. Because transmission efficiency, as part of vector competence assessment, is an important parameter when studying the relative contribution of vectors to JEV transmission, our findings contribute to further our knowledge, potentially moving us towards more informed and targeted actions to prevent and control JEV in both affected and susceptible regions worldwide.