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Human mobility and COVID-19 transmission: a systematic review and future directions
Annals of GIS ; : 1-14, 2022.
Article in English | Academic Search Complete | ID: covidwho-1730537
ABSTRACT
Without a widely distributed vaccine, controlling human mobility has been identified and promoted as the primary strategy to mitigate the transmission of COVID-19. Many studies have reported the relationship between human mobility and COVID-19 transmission by utilizing the spatial-temporal information of mobility data from various sources. To better understand the role of human mobility in the pandemic, we conducted a systematic review of articles that measure the relationship between human mobility and COVID-19 in terms of their data sources, mathematical models, and key findings. Following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, we selected 47 articles from the Web of Science Core Collection up to September 2020. Restricting human mobility reduced the transmission of COVID-19, although the effectiveness and stringency of policy implementation vary temporally and spatially across different stages of the pandemic. We call for prompt and sustainable measures to control the pandemic. We also recommend researchers 1) to enhance multi-disciplinary collaboration;2) to adjust the implementation and stringency of mobility-control policies in corresponding to the rapid change of the pandemic;3) to improve mathematical models used in analysing, simulating, and predicting the transmission of the disease;and 4) to enrich the source of mobility data to ensure data accuracy and suability. [ FROM AUTHOR] Copyright of Annals of GIS is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Type of study: Reviews / Systematic review/Meta Analysis Language: English Journal: Annals of GIS Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Type of study: Reviews / Systematic review/Meta Analysis Language: English Journal: Annals of GIS Year: 2022 Document Type: Article