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Using geospatial social media data for infectious disease studies: a systematic review

International Journal of Digital Earth 2023年第1期16卷 130-157页

作者： Fengrui Jing Zhenlong Li Shan Qiao Jiajia Zhang banky olatosi Xiaoming Li Geoinformation and Big Data Research Laboratory Department of GeographyUniversity of South CarolinaColumbiaSCUSA Big Data Health Science Center University of South CarolinaColumbiaSCUSA Department of Health Promotion Educationand BehaviorArnold School of Public HealthUniversity of South CarolinaColumbiaSCUSA Department of Epidemiology and Biostatistics Arnold School of Public HealthUniversity of South CarolinaColumbiaSCUSA Department of Health Services Policy and Management Arnold School of Public HealthUniversity of South CarolinaColumbiaSCUSA

Geospatial social media(GSM)data has been increasingly used in public health due to its rich,timely,and accessible spatial information,particularly in infectious disease *** review synthesized 86 research articles that use GSM data in infectious diseases published between December 2013 and March *** articles cover 12 infectious disease types ranging from respiratory infectious diseases to sexually transmitted diseases with spatial levels varying from the neighborhood,county,state,and *** categorized these studies into three major infectious disease research domains:surveillance,explanation,and *** the assistance of advanced computing,statistical and spatial methods,GSM data has been widely and deeply applied to these domains,particularly in surveillance and explanation *** further identified four knowledge gaps in terms of contextual information use,application scopes,spatiotemporal dimension,and data limitations and proposed innovation opportunities for future *** will contribute to a better understanding of using GSM data in infectious diseases studies and provide insights into strategies for using GSM data more effectively in future research.

关键词： Public health social media infectious diseases geography spatial analysis

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