Evidence map›Paper›PMID 33744577›Full record

ArticleThe Science of the total environment2021

Urban environments and COVID-19 in three Eastern states of the United States.

Whanhee Lee, Honghyok Kim, Hayon Michelle Choi, Seulkee Heo, Kelvin C Fong, Jooyeon Yang, Chaerin Park, Ho Kim, Michelle L Bell

Abstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Whanhee LeeSchool of the Environment, Yale University, New Haven, CT, USA.
Honghyok KimSchool of the Environment, Yale University, New Haven, CT, USA.
Hayon Michelle ChoiSchool of the Environment, Yale University, New Haven, CT, USA.
Seulkee HeoSchool of the Environment, Yale University, New Haven, CT, USA.
Kelvin C FongSchool of the Environment, Yale University, New Haven, CT, USA.
Jooyeon YangDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Chaerin ParkDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Ho KimDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Michelle L BellSchool of the Environment, Yale University, New Haven, CT, USA. Electronic address: michelle.bell@yale.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

The United States has the highest numbers of confirmed cases and deaths during the novel coronavirus disease 2019 (COVID-19) pandemic. Previous studies reported that urban residents are more vulnerable to the spread and mortality of COVID-19 than rural residents. However, the pathways through which urban environments affect COVID-19 spread and mortality are unclear. We collected daily data on the number of confirmed cases and deaths of COVID-19 from Mar. 01 to Nov. 16, 2020 for all 91 counties in New York, New Jersey, and Connecticut in the United States. We calculated the COVID-19 incidence %, daily reproduction number, and mortality %, then estimated the associations with urban environment indicators using regression models. COVID-19 outcomes were generally highest in areas with high population density, and this pattern was evident in the early period of epidemic. Among the area-level demographic variables, the percentage of Black or Hispanic residents showed the strongest positive association with COVID-19 outcomes. Higher risk of COVID-19 outcomes was also associated with higher percentage of overcrowded households, uninsured people, and income inequality. The percent elderly, sex ratio (the ratio of males to females), and greenness were negatively associated with risk of COVID-19 outcomes. The results of this study could indicate where resources are most needed.

Indexed as

COVID-19AgedConnecticutFemaleHumansMaleNew JerseyNew YorkSARS-CoV-2United StatesCOVID-19Environmental justiceInequalityLiving conditionsUrban environmentUrbanization

Identifiers

PMID33744577
PMCPMC7952127

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.