Evidence map›Paper›PMID 33137155›Full record

ArticlePloS one2020

Association of poor housing conditions with COVID-19 incidence and mortality across US counties.

Khansa Ahmad, Sebhat Erqou, Nishant Shah, Umair Nazir, Alan R Morrison, Gaurav Choudhary, Wen-Chih Wu

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 3 pooled it
–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

131 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Do Rental Assistance Programs Relieve Overcrowding for Children?Journal of urban health : bulletin of the New York Academy of Medicine · 2025
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71 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Khansa AhmadThe Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America.ORCID 0000-0003-4376-3043
Sebhat ErqouThe Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America.
Nishant ShahThe Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America.
Umair NazirThe Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America.
Alan R MorrisonThe Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America.
Gaurav ChoudharyThe Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America.
Wen-Chih WuThe Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America.

Funding

Uncoupling of IL-1 beta and VEGF-A Crosstalk Contributes to Impaired Arteriogenesis Response to Ischemia in Chronic Diabetes MellitusP20GM103652 · NIGMS · OCEAN STATE RESEARCH INSTITUTE, INC. · PI HARRINGTON, ELIZABETH O · 2013 to 2022
$21.3M
Development of Rac-Targeted Therapeutic Strategy for Treatment of Calcific AtherosclerosisR01HL139795 · NHLBI · OCEAN STATE RESEARCH INSTITUTE, INC. · PI MORRISON, ALAN ROSS · 2018 to 2022
$1.8M
Calcific Atherosclerosis is Mediated by Macrophage Adhesion SignalingIK2BX002527 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI MORRISON, ALAN ROSS · 2015 to 2017
–
BLRD VA IK2 BX002527HSRD VA I01 HX002422NHLBI NIH HHS R01 HL139795NIGMS NIH HHS P20 GM103652
6 · The paper itself

Abstract

objectivePoor housing conditions have been linked with worse health outcomes and infectious disease spread. Since the relationship of poor housing conditions with incidence and mortality of COVID-19 is unknown, we investigated the association between poor housing condition and COVID-19 incidence and mortality in US counties.

methodsWe conducted cross-sectional analysis of county-level data from the US Centers for Disease Control, US Census Bureau and John Hopkins Coronavirus Resource Center for 3135 US counties. The exposure of interest was percentage of households with poor housing conditions (one or greater of: overcrowding, high housing cost, incomplete kitchen facilities, or incomplete plumbing facilities). Outcomes were incidence rate ratios (IRR) and mortality rate ratios (MRR) of COVID-19 across US counties through 4/21/2020. Multilevel generalized linear modeling (with total population of each county as a denominator) was utilized to estimate relative risk of incidence and mortality related to poor housing conditions with adjustment for population density and county characteristics including demographics, income, education, prevalence of medical comorbidities, access to healthcare insurance and emergency rooms, and state-level COVID-19 test density. We report incidence rate ratios (IRRs) and mortality ratios (MRRs) for a 5% increase in prevalence in households with poor housing conditions.

resultsAcross 3135 US counties, the mean percentage of households with poor housing conditions was 14.2% (range 2.7% to 60.2%). On April 21st, the mean (SD) number of cases and deaths of COVID-19 were 255.68 (2877.03) cases and 13.90 (272.22) deaths per county, respectively. In the adjusted models standardized by county population, with each 5% increase in percent households with poor housing conditions, there was a 50% higher risk of COVID-19 incidence (IRR 1.50, 95% CI: 1.38-1.62) and a 42% higher risk of COVID-19 mortality (MRR 1.42, 95% CI: 1.25-1.61). Results remained similar using earlier timepoints (3/31/2020 and 4/10/2020). CONCLUSIONS AND RELEVANCE: Counties with a higher percentage of households with poor housing had higher incidence of, and mortality associated with, COVID-19. These findings suggest targeted health policies to support individuals living in poor housing conditions should be considered in further efforts to mitigate adverse outcomes associated with COVID-19.

Indexed as

Social ClassAdultAgedBetacoronavirusCoronavirus InfectionsCOVID-19Cross-Sectional StudiesFamily CharacteristicsFemaleHousingHumansIncidenceMaleMiddle AgedPandemicsPneumonia, Viral

Identifiers

PMID33137155
PMCPMC7605696

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Registered trials

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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.