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Publicação:
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil

dc.contributor.authorFerreira, Cláudia P. [UNESP]
dc.contributor.authorMarcondes, Diego
dc.contributor.authorMelo, Mariana P.
dc.contributor.authorOliva, Sérgio M.
dc.contributor.authorPeixoto, Cláudia M.
dc.contributor.authorPeixoto, Pedro S.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:49:32Z
dc.date.available2022-04-28T19:49:32Z
dc.date.issued2021-10-08
dc.description.abstractIn response to the coronavirus pandemic, governments implemented social distancing, attempting to block the virus spread within territories. While it is well accepted that social isolation plays a role in epidemic control, the precise connections between mobility data indicators and epidemic dynamics are still a challenge. In this work, we investigate the dependency between a social isolation index and epidemiological metrics for several Brazilian cities. Classic statistical methods are employed to support the findings. As a first, initially surprising, result, we illustrate how there seems to be no apparent functional relationship between social isolation data and later effects on disease incidence. However, further investigations identified two regimes of successful employment of social isolation: as a preventive measure or as a remedy, albeit remedy measures require greater social isolation and bring higher burden to health systems. Additionally, we exhibit cases of successful strategies involving lockdowns and an indicator-based mobility restriction plan.en
dc.description.affiliationDepartment of Basic and Environmental Sciences Engineering School of Lorena University of São Paulo
dc.description.affiliationInstitute of Biosciences São Paulo State University (UNESP)
dc.description.affiliationDepartment of Applied Mathematics Institute of Mathematics and Statistics University of São Paulo
dc.description.affiliationUnespInstitute of Biosciences São Paulo State University (UNESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdCNPq: #301778/2017-5
dc.description.sponsorshipIdCNPq: #302984/2020-8
dc.description.sponsorshipIdFAPESP: 16/18445-7
dc.description.sponsorshipIdFAPESP: 2019/22157-5
dc.identifierhttp://dx.doi.org/10.1016/j.patter.2021.100349
dc.identifier.citationPatterns, v. 2, n. 10, 2021.
dc.identifier.doi10.1016/j.patter.2021.100349
dc.identifier.issn2666-3899
dc.identifier.scopus2-s2.0-85122749674
dc.identifier.urihttp://hdl.handle.net/11449/223244
dc.language.isoeng
dc.relation.ispartofPatterns
dc.sourceScopus
dc.subjectCOVID-19
dc.subjectDSML 2: Proof-of-Concept: Data science output has been formulated, implemented, and tested for one domain/problem
dc.subjecthuman mobility
dc.subjectmobile geolocation
dc.subjectsocial isolation
dc.subjectspatial-temporal patterns
dc.titleA snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazilen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0002-9404-6098[1]
unesp.author.orcid0000-0002-6087-4821[2]
unesp.author.orcid0000-0003-4957-1966[3]
unesp.author.orcid0000-0002-5284-0613[4]
unesp.author.orcid0000-0002-8483-4250[5]
unesp.author.orcid0000-0003-2358-3221[6]

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