Evidence map›Paper›PMID 34492508›Full record

ArticlePublic health2021

Association between overcrowded households, multigenerational households, and COVID-19: a cohort study.

A K Ghosh, S Venkatraman, O Soroka, E Reshetnyak, M Rajan, A An, J K Chae, C Gonzalez, J Prince, C DiMaggio and 3 more

Abstract read
In one paragraph

Article in Public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

A K GhoshDepartment of Medicine, Weill Cornell Medical College, Cornell University, 525 E 68th St., New York, NY, 10065, USA. Electronic address: akg9010@med.cornell.edu.
S VenkatramanDepartment of Statistics and Data Science, Cornell University, 129 Garden Ave., Ithaca, NY, 14853, USA.
O SorokaDepartment of Medicine, Weill Cornell Medical College, Cornell University, 525 E 68th St., New York, NY, 10065, USA.
E ReshetnyakDepartment of Medicine, Weill Cornell Medical College, Cornell University, 525 E 68th St., New York, NY, 10065, USA.
M RajanDepartment of Medicine, Weill Cornell Medical College, Cornell University, 525 E 68th St., New York, NY, 10065, USA.
A AnDepartment of Population Health Sciences, Weill Cornell Medical College, Cornell University, 402 E 67th St., New York, NY, 10065, USA.
J K ChaeDepartment of Medicine, Weill Cornell Medical College, Cornell University, 525 E 68th St., New York, NY, 10065, USA.
C GonzalezDepartment of Medicine, Weill Cornell Medical College, Cornell University, 525 E 68th St., New York, NY, 10065, USA.
J PrinceSilberman School of Social Work at Hunter College, City University of New York, 2180 Third Ave, New York, NY, 10035, USA.
C DiMaggioDepartment of Surgery, New York University School of Medicine, 462 First Ave, NBV 15, New York, NY, 10016, USA.
S IbrahimDepartment of Population Health Sciences, Weill Cornell Medical College, Cornell University, 402 E 67th St., New York, NY, 10065, USA.
M M SaffordDepartment of Medicine, Weill Cornell Medical College, Cornell University, 525 E 68th St., New York, NY, 10065, USA.
N HupertDepartment of Medicine, Weill Cornell Medical College, Cornell University, 525 E 68th St., New York, NY, 10065, USA; Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, 402 E 67th St., New York, NY, 10065, USA.

Funding

Institutional Career Development CoreKL2TR002385 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI YUAN-SHAN ZHU · 2017 to 2026
$13.3M
NCATS NIH HHS KL2 TR002385
6 · The paper itself

Abstract

objectivesThe role of overcrowded and multigenerational households as a risk factor for COVID-19 remains unmeasured. The objective of this study is to examine and quantify the association between overcrowded and multigenerational households and COVID-19 in New York City (NYC). STUDY

designCohort study.

methodsWe conducted a Bayesian ecological time series analysis at the ZIP Code Tabulation Area (ZCTA) level in NYC to assess whether ZCTAs with higher proportions of overcrowded (defined as the proportion of the estimated number of housing units with more than one occupant per room) and multigenerational households (defined as the estimated percentage of residences occupied by a grandparent and a grandchild less than 18 years of age) were independently associated with higher suspected COVID-19 case rates (from NYC Department of Health Syndromic Surveillance data for March 1 to 30, 2020). Our main measure was an adjusted incidence rate ratio (IRR) of suspected COVID-19 cases per 10,000 population. Our final model controlled for ZCTA-level sociodemographic factors (median income, poverty status, White race, essential workers), the prevalence of clinical conditions related to COVID-19 severity (obesity, hypertension, coronary heart disease, diabetes, asthma, smoking status, and chronic obstructive pulmonary disease), and spatial clustering.

results39,923 suspected COVID-19 cases were presented to emergency departments across 173 ZCTAs in NYC. Adjusted COVID-19 case rates increased by 67% (IRR 1.67, 95% CI = 1.12, 2.52) in ZCTAs in quartile four (versus one) for percent overcrowdedness and increased by 77% (IRR 1.77, 95% CI = 1.11, 2.79) in quartile four (versus one) for percent living in multigenerational housing. Interaction between both exposures was not significant (β

conclusionsOvercrowdedness and multigenerational housing are independent risk factors for suspected COVID-19. In the early phase of the surge in COVID cases, social distancing measures that increase house-bound populations may inadvertently but temporarily increase SARS-CoV-2 transmission risk and COVID-19 disease in these populations.

Indexed as

COVID-19Bayes TheoremCohort StudiesHumansSARS-CoV-2Socioeconomic FactorsBayesianCOVID-19HousingSpatial analysis

Identifiers

PMID34492508
PMCPMC8328572

What OpenQuestion holds

Textmetadata
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.