Evidence map›Paper›PMID 33140067›Full record

ArticlemedRxiv : the preprint server for health sciences2021

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

Anjalika Nande, Justin Sheen, Emma L Walters, Brennan Klein, Matteo Chinazzi, Andrei Gheorghe, Ben Adlam, Julianna Shinnick, Maria Florencia Tejeda, Samuel V Scarpino and 5 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 17 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Anjalika NandeProgram for Evolutionary Dynamics, Harvard University, Cambridge, MA, 02138.
Justin SheenDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104.
Emma L WaltersDepartment of Urban and Regional Planning, University of Illinois at Urbana-Champaign, Champaign, IL 61820.
Brennan KleinNetwork Science Institute, Northeastern University, Boston, MA, USA.
Matteo ChinazziNetwork Science Institute, Northeastern University, Boston, MA, USA.
Andrei GheorgheProgram for Evolutionary Dynamics, Harvard University, Cambridge, MA, 02138.
Ben AdlamProgram for Evolutionary Dynamics, Harvard University, Cambridge, MA, 02138.
Julianna ShinnickDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104.
Maria Florencia TejedaDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104.
Samuel V ScarpinoNetwork Science Institute, Northeastern University, Boston, MA, USA.
Alessandro VespignaniNetwork Science Institute, Northeastern University, Boston, MA, USA.
Andrew J GreenleeDepartment of Urban and Regional Planning, University of Illinois at Urbana-Champaign, Champaign, IL 61820.
Daniel SchneiderDepartment of Urban and Regional Planning, University of Illinois at Urbana-Champaign, Champaign, IL 61820.
Michael Z LevyDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104.
Alison L HillProgram for Evolutionary Dynamics, Harvard University, Cambridge, MA, 02138.
Harvard University · USNortheastern University · USUniversity of Pennsylvania · USUniversity of Illinois Urbana-Champaign · US

Funding

An immune system for the city: a new paradigm for control of urban disease vectorsR01AI146129 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI LEVY, MICHAEL Z, PAZ-SOLDAN, VALERIE ANDREA · 2019 to 2023
$3.3M
Quantification and prediction of treatment efficacy for HIV cure strategiesDP5OD019851 · OD · JOHNS HOPKINS UNIVERSITY · PI HILL, ALISON LYNN · 2014 to 2018
$2.1M
NCIRD CDC HHS U01 IP001137NIAID NIH HHS R01 AI146129NIH HHS DP5 OD019851
6 · The paper itself

Abstract

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 municipal eviction moratoria and show that policies to stem evictions are a warranted and important component of COVID-19 control.

Identifiers

PMID33140067
PMCPMC7605580
OpenAlexW3096806740

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.