Kostandova, Natalya and Schluth, Catherine and Arambepola, Rohan and Atuhaire, Fatumah and Bérubé, Sophie and Chin, Taylor and Cleary, Eimear and Cortes-Azuero, Oscar and García-Carreras, Bernardo and Grantz, Kyra H. and Hitchings, Matt D. T. and Huang, Angkana T. and Kishore, Nishant and Lai, Shengjie and Larsen, Sophie L. and Loisate, Stacie and Martinez, Pamela and Meredith, Hannah R. and Purbey, Ritika and Ramiadantsoa, Tanjona and Read, Jonathan and Rice, Benjamin L. and Rosman, Lori and Ruktanonchai, Nick and Salje, Henrik and Schaber, Kathryn L. and Tatem, Andrew J. and Wang, Jasmine and Cummings, Derek A. T. and Wesolowski, Amy (2024) A systematic review of using population-level human mobility data to understand SARS-CoV-2 transmission. Nature Communications, 15 (1): 10504. ISSN 2041-1723
Full text not available from this repository.Abstract
The emergence of SARS-CoV-2 into a highly susceptible global population was primarily driven by human mobility-induced introduction events. Especially in the early stages, understanding mobility was vital to mitigating the pandemic prior to widespread vaccine availability. We conducted a systematic review of studies published from January 1, 2020, to May 9, 2021, that used population-level human mobility data to understand SARS-CoV-2 transmission. Of the 5505 papers with abstracts screened, 232 were included in the analysis. These papers focused on a range of specific questions but were dominated by analyses focusing on the USA and China. The majority included mobile phone data, followed by Google Community Mobility Reports, and few included any adjustments to account for potential biases in population sampling processes. There was no clear relationship between methods used to integrate mobility and SARS-CoV-2 data and goals of analysis. When considering papers focused only on the estimation of the effective reproductive number within the US, there was no clear relationship identified between this measure and changes in mobility patterns. Our findings underscore the need for standardized, systematic ways to identify the source of mobility data, select an appropriate approach to using it in analysis, and reporting.