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Simulating the effects of mobility restrictions in the spread of SARS-CoV-2 in metropolitan areas

dc.contributor.authorOliveira, Sandra
dc.contributor.authorRocha, Jorge
dc.contributor.authorRibeiro, Ana Isabel
dc.date.accessioned2022-11-29T15:20:03Z
dc.date.available2022-11-29T15:20:03Z
dc.date.issued2021-07-06
dc.description.abstractMobility restrictions have been implemented in many countries to curb the spread of the SARS-Cov-2 virus. We simulated the effects of mobility restrictions in the spread of SARS- CoV-2 amongst the municipalities of two metropolitan areas in Portugal (Lisbon-LMA, and Porto-PMA), the most densely populated areas in the country and with intense commuting flows. Based on an adapted SEIR model, we estimate the number of new daily infections along 10 months, according to different mobility scenarios, restricted to essential activities, industrial activities, and public transport use, as well as a scenario with unrestricted mobility including all transport modes. At municipal level, the trends of new daily infections were further explored by means of time-series clustering analysis, using dynamic time warping as a dissimilarity measure. Results indicate that mobility restrictions are reflected in lower numbers of new daily infections when compared to the unrestricted mobility scenario, in both metropolitan areas. Between March and October 2020, the official number of new infections follows a similar timeline to the one simulated considering only essential activities. At municipal level, trends differ amongst the two metropolitan areas; while in LMA, Lisbon municipality absorbs most of the flows and has the highest number of new infections in all scenarios, in PMA the highest number of infections is reached by different municipalities depending on the scenario. These distinct characteristics should be considered in reopening strategies linked to the pandemic, as well as in approaches to improve mobility conditions in metropolitan areas.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOliveira, S. Rocha, J., Ribeiro, A.I. (2021). Simulating the effects of mobility restrictions in the spread of SARS-CoV-2 in metropolitan areas, 17th International Conference on Urban Health, Transforming our Collective Urban Future: Learning from COVID-19, Virtual, USA, July 6-8.pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/55279
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationhealTh RIsk and social vulnerability to Arboviral Diseases in mainland portugal
dc.subjectSARS-CoV-2pt_PT
dc.subjectmobility scenariospt_PT
dc.subjectSEIR model,pt_PT
dc.subjecturban areaspt_PT
dc.titleSimulating the effects of mobility restrictions in the spread of SARS-CoV-2 in metropolitan areaspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitlehealTh RIsk and social vulnerability to Arboviral Diseases in mainland portugal
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FGES-OUT%2F30210%2F2017/PT
oaire.citation.conferencePlaceVirtual, EUApt_PT
oaire.citation.title17th International Conference on Urban Healthpt_PT
oaire.fundingStream3599-PPCDT
person.familyNameOliveira
person.familyNameRocha
person.givenNameSandra
person.givenNameJorge
person.identifier0000000069085031
person.identifier.ciencia-id8A16-4976-FD63
person.identifier.ciencia-idEC15-76DC-9B96
person.identifier.orcid0000-0002-6253-4353
person.identifier.orcid0000-0002-7228-6330
person.identifier.ridAAK-5051-2020
person.identifier.ridF-3185-2017
person.identifier.scopus-author-id17435272900
person.identifier.scopus-author-id56428061000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd30eb4c5-8ef1-426b-8e80-baa646b30f0e
relation.isAuthorOfPublication9c7dabc1-d6c6-4636-9293-6babe2ba64c9
relation.isAuthorOfPublication.latestForDiscoveryd30eb4c5-8ef1-426b-8e80-baa646b30f0e
relation.isProjectOfPublication53ac187b-cc72-4cb4-aa13-87634d1eb964
relation.isProjectOfPublication.latestForDiscovery53ac187b-cc72-4cb4-aa13-87634d1eb964

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