Recent decades have witnessed several infectious disease outbreaks,including the coronavirus disease(COVID-19)pandemic,which had catastrophic impacts on societies around the globe.At the same time,the twenty-first cen...Recent decades have witnessed several infectious disease outbreaks,including the coronavirus disease(COVID-19)pandemic,which had catastrophic impacts on societies around the globe.At the same time,the twenty-first century has experienced an unprecedented era of technological development and demographic changes:exploding population growth,increased airline flights,and increased rural-to-urban migration,with an estimated 281 million international migrants worldwide in 2020,despite COVID-19 movement restrictions.In this review,we synthesized 195 research articles that examined the association between human movement and infectious disease outbreaks to understand the extent to which human mobility has increased the risk of infectious disease outbreaks.This article covers eight infectious diseases,ranging from respiratory illnesses to sexually transmitted and vector-borne diseases.The review revealed a strong association between human mobility and infectious disease spread,particularly strong for respiratory illnesses like COVID-19 and Influenza.Despite significant research into the relationship between infectious diseases and human mobility,four knowledge gaps were identified based on reviewed literature in this study:1)although some studies have used big data in investigating infectious diseases,the efforts are limited(with the exception of COVID-19 disease),2)while some research has explored the use of multiple data sources,there has been limited focus on fully integrating these data into comprehensive analyses,3)limited research on the global impact of mobility on the spread of infectious disease with most studies focusing on local or regional outbreaks,and 4)lack of standardization in the methodology for measuring the impacts of human mobility on infectious disease spread.By tackling the recognized knowledge gaps and adopting holistic,interdisciplinary methods,forthcoming research has the potential to substantially enhance our comprehension of the intricate interplay between human mobility and infectious diseases.展开更多
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 research.This review synthesized 86 research ar...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 research.This review synthesized 86 research articles that use GSM data in infectious diseases published between December 2013 and March 2022.These 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 country.We categorized these studies into three major infectious disease research domains:surveillance,explanation,and prediction.With 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 domains.We further identified four knowledge gaps in terms of contextual information use,application scopes,spatiotemporal dimension,and data limitations and proposed innovation opportunities for future research.Ourfindings 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.展开更多
基金supported by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health under Award Number[3R01AI127203-04S1]National Science Foundation under Award Number[2028791].
文摘Recent decades have witnessed several infectious disease outbreaks,including the coronavirus disease(COVID-19)pandemic,which had catastrophic impacts on societies around the globe.At the same time,the twenty-first century has experienced an unprecedented era of technological development and demographic changes:exploding population growth,increased airline flights,and increased rural-to-urban migration,with an estimated 281 million international migrants worldwide in 2020,despite COVID-19 movement restrictions.In this review,we synthesized 195 research articles that examined the association between human movement and infectious disease outbreaks to understand the extent to which human mobility has increased the risk of infectious disease outbreaks.This article covers eight infectious diseases,ranging from respiratory illnesses to sexually transmitted and vector-borne diseases.The review revealed a strong association between human mobility and infectious disease spread,particularly strong for respiratory illnesses like COVID-19 and Influenza.Despite significant research into the relationship between infectious diseases and human mobility,four knowledge gaps were identified based on reviewed literature in this study:1)although some studies have used big data in investigating infectious diseases,the efforts are limited(with the exception of COVID-19 disease),2)while some research has explored the use of multiple data sources,there has been limited focus on fully integrating these data into comprehensive analyses,3)limited research on the global impact of mobility on the spread of infectious disease with most studies focusing on local or regional outbreaks,and 4)lack of standardization in the methodology for measuring the impacts of human mobility on infectious disease spread.By tackling the recognized knowledge gaps and adopting holistic,interdisciplinary methods,forthcoming research has the potential to substantially enhance our comprehension of the intricate interplay between human mobility and infectious diseases.
基金supported by National Institutes of Health[grant number 3R01AI127203-04S1]and NSF[grant num-ber 2028791].
文摘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 research.This review synthesized 86 research articles that use GSM data in infectious diseases published between December 2013 and March 2022.These 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 country.We categorized these studies into three major infectious disease research domains:surveillance,explanation,and prediction.With 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 domains.We further identified four knowledge gaps in terms of contextual information use,application scopes,spatiotemporal dimension,and data limitations and proposed innovation opportunities for future research.Ourfindings 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.
