{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T15:40:48Z","timestamp":1779291648641,"version":"3.51.4"},"reference-count":50,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T00:00:00Z","timestamp":1659225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"national funds from FCT\u2014Foundation for Science and Technology","award":["UIDB\/00295\/2020"],"award-info":[{"award-number":["UIDB\/00295\/2020"]}]},{"name":"national funds from FCT\u2014Foundation for Science and Technology","award":["596685735"],"award-info":[{"award-number":["596685735"]}]},{"name":"national funds from FCT\u2014Foundation for Science and Technology","award":["613765655"],"award-info":[{"award-number":["613765655"]}]},{"name":"RESEARCH 4 COVID-19: Project COMPRIME","award":["UIDB\/00295\/2020"],"award-info":[{"award-number":["UIDB\/00295\/2020"]}]},{"name":"RESEARCH 4 COVID-19: Project COMPRIME","award":["596685735"],"award-info":[{"award-number":["596685735"]}]},{"name":"RESEARCH 4 COVID-19: Project COMPRIME","award":["613765655"],"award-info":[{"award-number":["613765655"]}]},{"name":"Project COMPRI_MOv","award":["UIDB\/00295\/2020"],"award-info":[{"award-number":["UIDB\/00295\/2020"]}]},{"name":"Project COMPRI_MOv","award":["596685735"],"award-info":[{"award-number":["596685735"]}]},{"name":"Project COMPRI_MOv","award":["613765655"],"award-info":[{"award-number":["613765655"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>The spread of the coronavirus disease 2019 (COVID-19) has important links with population mobility. Social interaction is a known determinant of human-to-human transmission of infectious diseases and, in turn, population mobility as a proxy of interaction is of paramount importance to analyze COVID-19 diffusion. Using mobility data from Google\u2019s Community Reports, this paper captures the association between changes in mobility patterns through time and the corresponding COVID-19 incidence at a multi-scalar approach applied to mainland Portugal. Results demonstrate a strong relationship between mobility data and COVID-19 incidence, suggesting that more mobility is associated with more COVID-19 cases. Methodological procedures can be summarized in a multiple linear regression with a time moving window. Model validation demonstrate good forecast accuracy, particularly when we consider the cumulative number of cases. Based on this premise, it is possible to estimate and predict future evolution of the number of COVID-19 cases using near real-time information of population mobility.<\/jats:p>","DOI":"10.3390\/data7080107","type":"journal-article","created":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T23:37:29Z","timestamp":1659310649000},"page":"107","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Mobility and Dissemination of COVID-19 in Portugal: Correlations and Estimates from Google\u2019s Mobility Data"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6677-0425","authenticated-orcid":false,"given":"Nelson","family":"Mileu","sequence":"first","affiliation":[{"name":"Portugal and Associated Laboratory Terra, Institute of Geography and Spatial Planning, Centre of Geographical Studies, University of Lisbon, 1600-276 Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4859-9668","authenticated-orcid":false,"given":"Nuno M.","family":"Costa","sequence":"additional","affiliation":[{"name":"Portugal and Associated Laboratory Terra, Institute of Geography and Spatial Planning, Centre of Geographical Studies, University of Lisbon, 1600-276 Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5070-3562","authenticated-orcid":false,"given":"Eduarda M.","family":"Costa","sequence":"additional","affiliation":[{"name":"Portugal and Associated Laboratory Terra, Institute of Geography and Spatial Planning, Centre of Geographical Studies, University of Lisbon, 1600-276 Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8979-8906","authenticated-orcid":false,"given":"Andr\u00e9","family":"Alves","sequence":"additional","affiliation":[{"name":"Directorate-General for Territory, 1099-052 Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"102434","DOI":"10.1016\/j.jaut.2020.102434","article-title":"The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China","volume":"109","author":"Yang","year":"2020","journal-title":"J. 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