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首页> Epidemics> GEOFIL: A spatially-explicit agent-based modelling framework for predicting the long-term transmission dynamics of lymphatic filariasis in American Samoa.

GEOFIL: A spatially-explicit agent-based modelling framework for predicting the long-term transmission dynamics of lymphatic filariasis in American Samoa.

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第一作者： Zhijing,Xu

第一单位： Research School of Population Health, The Australian National University, Australia. Electronic address: xuzhijing521@gmail.com.

作者： Zhijing,Xu ^[1] ; Patricia M,Graves ^[2] ; Colleen L,Lau ^[3] ; Archie,Clements ^[4] ; Nicholas,Geard ^[5] ; Kathryn,Glass ^[3]

作者单位： Research School of Population Health, The Australian National University, Australia. Electronic address: xuzhijing521@gmail.com. ^[1] College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Australia. ^[2] Research School of Population Health, The Australian National University, Australia. ^[3] Faculty of Health Sciences, Curtin University, Australia. ^[4] School of Computing and Information Systems, The University of Melbourne, Australia; The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Australia. ^[5]

关键词 Agent-based modelling Commuting networks Disease dynamics Lymphatic filariasis Spatial heterogeneity Vector-borne diseases

主题词青少年(Adolescent);成年人(Adult);伊蚊属(Aedes);美属萨摩亚(American Samoa);动物(Animals);儿童(Child);儿童, 学龄前(Child, Preschool);象皮病, 丝虫性(Elephantiasis, Filarial);女(雌)性(Female);人类(Humans);虫咬和虫螫(Insect Bites and Stings);男(雄)性(Male);模型, 理论(Models, Theoretical);患病率(Prevalence);血清流行病学研究(Seroepidemiologic Studies);时间(Time);青年人(Young Adult)

DOI 10.1016/j.epidem.2018.12.003

PMID 30611745

发布时间 2020-07-09

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