Literature DB >> 33652349

Spatial distribution and risk areas of foot and mouth disease in mainland China.

Hongyan Gao1, Jun Ma2.   

Abstract

Foot-and-mouth disease (FMD) is a severe infectious disease in animal, which affects regional economies and food security of many countries. A total of 109 FMD outbreaks in China (from 2010 to 2019) were assessed. To investigate whether the FMD outbreaks were significantly aggregated in China, spatio-temporal cluster analysis was performed. A MaxEnt model was established to identify high risk areas for FMD in China and to identify relevant risk factors. As a result, both the FMD serotype A and O had one cluster each. Roads density, isothermality, UV-B seasonality and railways density were identified as important factors that affect the occurrence of FMD serotype A. The minimum temperature of the coldest month contributed most to FMD serotype O outbreak, followed by railways density and markets distribution. This study may provide useful information for decision makers for the tailoring of a risk-based surveillance of FMD in China.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Foot-and-mouth disease; MaxEnt; Risk areas; Spatio-temporal cluster

Year:  2021        PMID: 33652349     DOI: 10.1016/j.prevetmed.2021.105311

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  2 in total

1.  Modeling the current distribution suitability and future dynamics of Culicoides imicola under climate change scenarios.

Authors:  Hongyan Gao; Long Wang; Jun Ma; Xiang Gao; Jianhua Xiao; Hongbin Wang
Journal:  PeerJ       Date:  2021-10-29       Impact factor: 2.984

2.  A Naked-Eye Visual Reverse Transcription Loop-Mediated Isothermal Amplification with Sharp Color Changes for Potential Pen-Side Test of Foot-and-Mouth Disease Virus.

Authors:  Jie Zhang; Qian Hou; Weimin Ma; Danian Chen; Weibing Zhang; Ashenafi Kiros Wubshet; Yaozhong Ding; Miaomiao Li; Qian Li; Jiao Chen; Junfei Dai; Guohua Wu; Ziteng Zhang; Alexei D Zaberezhny; Zygmunt Pejsak; Kazimierz Tarasiuk; Muhammad Umar Zafar Khan; Yang Wang; Jijun He; Yongsheng Liu
Journal:  Viruses       Date:  2022-09-07       Impact factor: 5.818

  2 in total

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