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首页> PLoS neglected tropical diseases> Predictive risk mapping of an environmentally-driven infectious disease using spatial Bayesian networks: A case study of leptospirosis in Fiji.

Predictive risk mapping of an environmentally-driven infectious disease using spatial Bayesian networks: A case study of leptospirosis in Fiji.

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作者： Helen J,Mayfield ^[1] ; Carl S,Smith ^[2] ; John H,Lowry ^[3] ; Conall H,Watson ^[4] ; Michael G,Baker ^[5] ; Mike,Kama ^[6] ; Eric J,Nilles ^[7] ; Colleen L,Lau ^[8]

作者单位： Research School of Population Health, The Australian National University, Canberra, Australia. ^[1] School of Business, University of Queensland, Brisbane, Australia. ^[2] School of People, Environment and Planning, Massey University, Palmerston North, New Zealand. ^[3] Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom. ^[4] Department of Public Health, University of Otago, Wellington, New Zealand. ^[5] Fiji Ministry of Health and Medical Services, Suva, Fiji. ^[6] Division of Pacific Technical Support, World Health Organization, Suva, Fiji. ^[7] Program on Infectious Diseases and Humanitarian Emergencies Harvard Humanitarian Institute, Boston, MA, United States of America. ^[8]

主题词畜牧业(Animal Husbandry);动物(Animals);贝叶斯定理(Bayes Theorem);环境暴露(Environmental Exposure);斐济(Fiji);人类(Humans);钩端螺旋体病(Leptospirosis);家畜(Livestock);贫困(Poverty);危险性评估(Risk Assessment);农村人口(Rural Population);血清流行病学研究(Seroepidemiologic Studies);市区人口(Urban Population);动物传染病(Zoonoses)

DOI 10.1371/journal.pntd.0006857

PMID 30307936

发布时间 2022-01-29

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PLoS neglected tropical diseases

PLoS neglected tropical diseases

2018年12卷10期

e0006857页

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