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dc.contributor.authorBassolas, A
dc.contributor.authorSousa, S
dc.contributor.authorNicosia, V
dc.date.accessioned2021-02-17T10:19:38Z
dc.date.available2021-02-17T10:19:38Z
dc.date.issued2021-01
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/70381
dc.description.abstractOne of the most concerning aspects of the ongoing COVID-19 pandemic is that it disproportionately affects people from some specific ethnic and socio-economic minorities. In particular, since from the beginning of the pandemic it has been clear that people from Black and African American backgrounds seem to be hit especially hard by the virus, creating a substantial infection gap. The observed abnormal impact on these ethnic groups could probably be due to the co-occurrence of other known risk factors, including co-morbidity, poverty, level of education, access to healthcare, residential segregation and response to cures, although those factors do not seem able to explain fully and in depth the excess incidence of infections and deaths among African Americans. Here, we introduce the concept of diffusion segregation, that is the extent to which a given group of people is internally clustered or exposed to other groups, as a result of mobility and commuting habits. By analysing census and mobility data on major US cities, we found that the weekly excess COVID-19 incidence and mortality in African American communities at the beginning of the COVID-19 pandemic is significantly associated with their level of diffusion segregation. The results confirm that knowing where people commute to, rather than where they live, is potentially much more important to contain and curb the spreading of infectious diseases.en_US
dc.format.extent20200961 - ?
dc.languageeng
dc.publisherThe Royal Society Publishingen_US
dc.relation.ispartofJ R Soc Interface
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectCOVID-19en_US
dc.subjectethnic segregationen_US
dc.subjecthuman mobilityen_US
dc.subjectrandom walksen_US
dc.subjecturban systemsen_US
dc.subjectAfrican Americansen_US
dc.subjectCOVID-19en_US
dc.subjectFemaleen_US
dc.subjectHumansen_US
dc.subjectIncidenceen_US
dc.subjectMaleen_US
dc.subjectModels, Biologicalen_US
dc.subjectPandemicsen_US
dc.subjectSARS-CoV-2en_US
dc.subjectSocioeconomic Factorsen_US
dc.titleDiffusion segregation and the disproportionate incidence of COVID-19 in African American communities.en_US
dc.typeArticleen_US
dc.rights.holder© 2021 The Authors.
dc.identifier.doi10.1098/rsif.2020.0961
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/33499765en_US
pubs.issue174en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume18en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderAssessing spatial heterogeneity through random walks on graphs::Engineering and Physical Sciences Research Councilen_US


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