A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.patter.2021.100349 http://hdl.handle.net/11449/223244 |
Resumo: | In 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. |
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A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in BrazilCOVID-19DSML 2: Proof-of-Concept: Data science output has been formulated, implemented, and tested for one domain/problemhuman mobilitymobile geolocationsocial isolationspatial-temporal patternsIn 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.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Basic and Environmental Sciences Engineering School of Lorena University of São PauloInstitute of Biosciences São Paulo State University (UNESP)Department of Applied Mathematics Institute of Mathematics and Statistics University of São PauloInstitute of Biosciences São Paulo State University (UNESP)CNPq: #301778/2017-5CNPq: #302984/2020-8FAPESP: 16/18445-7FAPESP: 2019/22157-5Universidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Ferreira, Cláudia P. [UNESP]Marcondes, DiegoMelo, Mariana P.Oliva, Sérgio M.Peixoto, Cláudia M.Peixoto, Pedro S.2022-04-28T19:49:32Z2022-04-28T19:49:32Z2021-10-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.patter.2021.100349Patterns, v. 2, n. 10, 2021.2666-3899http://hdl.handle.net/11449/22324410.1016/j.patter.2021.1003492-s2.0-85122749674Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPatternsinfo:eu-repo/semantics/openAccess2022-04-28T19:49:32Zoai:repositorio.unesp.br:11449/223244Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:05:13.470Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil |
title |
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil |
spellingShingle |
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil Ferreira, Cláudia P. [UNESP] COVID-19 DSML 2: Proof-of-Concept: Data science output has been formulated, implemented, and tested for one domain/problem human mobility mobile geolocation social isolation spatial-temporal patterns |
title_short |
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil |
title_full |
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil |
title_fullStr |
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil |
title_full_unstemmed |
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil |
title_sort |
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil |
author |
Ferreira, Cláudia P. [UNESP] |
author_facet |
Ferreira, Cláudia P. [UNESP] Marcondes, Diego Melo, Mariana P. Oliva, Sérgio M. Peixoto, Cláudia M. Peixoto, Pedro S. |
author_role |
author |
author2 |
Marcondes, Diego Melo, Mariana P. Oliva, Sérgio M. Peixoto, Cláudia M. Peixoto, Pedro S. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Ferreira, Cláudia P. [UNESP] Marcondes, Diego Melo, Mariana P. Oliva, Sérgio M. Peixoto, Cláudia M. Peixoto, Pedro S. |
dc.subject.por.fl_str_mv |
COVID-19 DSML 2: Proof-of-Concept: Data science output has been formulated, implemented, and tested for one domain/problem human mobility mobile geolocation social isolation spatial-temporal patterns |
topic |
COVID-19 DSML 2: Proof-of-Concept: Data science output has been formulated, implemented, and tested for one domain/problem human mobility mobile geolocation social isolation spatial-temporal patterns |
description |
In 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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-08 2022-04-28T19:49:32Z 2022-04-28T19:49:32Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.patter.2021.100349 Patterns, v. 2, n. 10, 2021. 2666-3899 http://hdl.handle.net/11449/223244 10.1016/j.patter.2021.100349 2-s2.0-85122749674 |
url |
http://dx.doi.org/10.1016/j.patter.2021.100349 http://hdl.handle.net/11449/223244 |
identifier_str_mv |
Patterns, v. 2, n. 10, 2021. 2666-3899 10.1016/j.patter.2021.100349 2-s2.0-85122749674 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Patterns |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128753715380224 |