The effect of eviction moratoria on the transmission of SARS-CoV-2.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
15 04 2021
Historique:
received: 05 11 2020
accepted: 17 03 2021
entrez: 16 4 2021
pubmed: 17 4 2021
medline: 27 4 2021
Statut: epublish

Résumé

Massive unemployment during the COVID-19 pandemic could result in an eviction crisis in US cities. Here we model the effect of evictions on SARS-CoV-2 epidemics, simulating viral transmission within and among households in a theoretical metropolitan area. We recreate a range of urban epidemic trajectories and project the course of the epidemic under two counterfactual scenarios, one in which a strict moratorium on evictions is in place and enforced, and another in which evictions are allowed to resume at baseline or increased rates. We find, across scenarios, that evictions lead to significant increases in infections. Applying our model to Philadelphia using locally-specific parameters shows that the increase is especially profound in models that consider realistically heterogenous cities in which both evictions and contacts occur more frequently in poorer neighborhoods. Our results provide a basis to assess eviction moratoria and show that policies to stem evictions are a warranted and important component of COVID-19 control.

Identifiants

pubmed: 33859196
doi: 10.1038/s41467-021-22521-5
pii: 10.1038/s41467-021-22521-5
pmc: PMC8050248
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2274

Subventions

Organisme : NIH HHS
ID : DP5 OD019851
Pays : United States
Organisme : NCIRD CDC HHS
ID : U01 IP001137
Pays : United States

Commentaires et corrections

Type : UpdateOf

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Auteurs

Anjalika Nande (A)

Program for Evolutionary Dynamics, Harvard University, Cambridge, MA, USA.

Justin Sheen (J)

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Emma L Walters (EL)

Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign, Champaign, IL, USA.

Brennan Klein (B)

Network Science Institute, Northeastern University, Boston, MA, USA.
Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, USA.

Matteo Chinazzi (M)

Network Science Institute, Northeastern University, Boston, MA, USA.
Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, USA.

Andrei H Gheorghe (AH)

Program for Evolutionary Dynamics, Harvard University, Cambridge, MA, USA.

Ben Adlam (B)

Program for Evolutionary Dynamics, Harvard University, Cambridge, MA, USA.

Julianna Shinnick (J)

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Maria Florencia Tejeda (MF)

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Samuel V Scarpino (SV)

Network Science Institute, Northeastern University, Boston, MA, USA.

Alessandro Vespignani (A)

Network Science Institute, Northeastern University, Boston, MA, USA.
Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, USA.

Andrew J Greenlee (AJ)

Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign, Champaign, IL, USA.

Daniel Schneider (D)

Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign, Champaign, IL, USA.

Michael Z Levy (MZ)

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. mzlevy@upenn.edu.

Alison L Hill (AL)

Program for Evolutionary Dynamics, Harvard University, Cambridge, MA, USA. alhill@jhmi.edu.
Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA. alhill@jhmi.edu.

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