Risk assessment for the Rift Valley fever occurrence in China: Special concern in south‐west border areas. Issue 2 (12th July 2020)

• Record Type: Journal Article
• Authors: Liu, Boyang; Ma, Jun; Jiao, Zhihui; Gao, Xiang; Xiao, Jianhua; Wang, Hongbin
• Is Part Of: Transboundary and emerging diseases. Volume 68:Issue 2(2021)
• Page Start: 445
• Page End: 457
• Publication Date: 2020-07-12
• Subjects: ecological niche model -- Rift Valley fever -- risk assessment -- transboundary animal disease -- vector‐borne disease; Veterinary medicine -- Periodicals; 636.089
• DOI: 10.1111/tbed.13695
• Languages: English
• ISSNs: 1865-1674

Abstract

Abstract: Rift Valley fever (RVF) is a mosquito‐borne zoonotic disease. Since its first outbreak in 1930, RVF epidemics have caused huge economic losses and public health impacts in Africa. In 2000, RVF became a disease of global concern as it spread to the Arabian Peninsula. In our study, a Geographic Information System‐based risk assessment for the occurrence of Rift Valley fever in China was established by means of ecological niche modelling. Based on occurrence records (RVF records from FAO EMPRES‐i, vector records from literatures and GBIF) and high‐resolution environmental layers, the prediction maps of RVF occurrence probability and distribution of five potential RVF vectors in China were modelled using Maxent. An internal validation was adopted for model verification, and high AUC values were obtained (0.918 for RVF and 0.837‐0.992 for vectors). By overlaying the RVF prediction map with the combined RVF vector prediction map using Fuzzy overlay tool ('AND' operator) of ArcMap 10.2, we got the first risk map of possible RVF vector transmission. This map was further overlaid with the latest livestock distribution map ('AND' operator) to generate the second risk map of possible RVF threat to domestic livestock. The south‐west border provinces in China, Yunnan, Guangxi and Tibet were predicted to have a high possibility of RVF occurrence. Conditions conducive to the local amplification of RVF also exist in these areas. Temperature seasonality, mean temperature of dry season and precipitation of the driest month were considered as key environmental variables for RVF, and common environmental conditions were found conductive for vectors. It is suggested to establish proper surveillance systems in south‐west border areas to minimize the possibility of RVF invasion. Our findings can serve as a valuable reference for prevention measures to be implemented.