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Title: A systematic review of the literature to identify and quantify host and vector competence and abundance of Japanese Encephalitis Virus

item STRATHE, ERIN - Kansas State University
item DA SILVA OLIVEIRA, ANA RUTE - Kansas State University
item ETCHEVERRY HERNANDEZ, LUCIANA - Kansas State University
item Cohnstaedt, Lee
item McVey, David
item CERNICCHIARO, NATALIA - Kansas State University

Submitted to: Annual Merck Merial Veterinary Scholars Symposium
Publication Type: Abstract Only
Publication Acceptance Date: 7/16/2016
Publication Date: 7/27/2016
Citation: Strathe, E., Da Silva Oliveira, A., Etcheverry Hernandez, L., Cohnstaedt, L.W., Mcvey, D.S., Cernicchiaro, N. 2016. A systematic review of the literature to identify and quantify host and vector competence and abundance of Japanese Encephalitis Virus. Annual Merck Merial Veterinary Scholars Symposium. Merial Student Scholars Symposium, KSU College of Veterinary Medicine, Manhattan, KS – 27 July 2016.

Interpretive Summary:

Technical Abstract: Japanese Encephalitis virus (JEV) is a mosquito-borne arbovirus that causes endemic and epidemic encephalitis in Eastern and Southeastern Asia. Swine and wading birds serve as reservoirs for the virus, which can be transmitted to humans via mosquitos. Currently, there is no specific treatment available for infected individuals, making prevention highly important. The potential risk of inadvertent introduction of JEV into United States is a concern because of the public health, trade and economic implications of entry of an emerging disease. Our objective was to gather and appraise original scientific literature to identify and quantify competence and abundance of potential hosts and vectors of JEV in United States and worldwide using a systematic review of the literature. Our study began by posing a research question and selecting key words for searching abstracts in electronic databases. The title and abstract of the identified publications were then screened for relevance utilizing a defined set of exclusion and inclusion criteria. After subjecting the abstracts to two rounds of relevance screening, data were extracted from the relevant full-text articles and their risk of bias assessed. These data will then be analyzed quantitatively using statistical methods (meta-analysis). A total of 1,405 abstracts were identified in the original search from electronic databases and grey literature. The initial round of relevance screening resulted in the identification of 568 relevant abstracts. A second relevance screening narrowed the papers from which data was to be extracted to 290. The data obtained from this study will be utilized to populate vector and host entry pathways of a risk analysis to evaluate risks associated with introduction of JEV into the United States.