Evidence map›Paper›PMID 35623163›Full record

ArticleHealth & place2022

Validation of a neighborhood-level COVID Local Risk Index in 47 large U.S. cities.

Ben R Spoer, Edwin McCulley, Taylor M Lampe, Pei Yang Hsieh, Alexander Chen, Rebecca Ofrane, Heather Rollins, Lorna E Thorpe, Usama Bilal, Marc N Gourevitch

Abstract read
In one paragraph

Article in Health & place, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

10 authors.

Ben R SpoerDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA. Electronic address: Benjamin.spoer2@nyulangone.org.
Edwin McCulleyDepartment of Epidemiology and Biostatistics, Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA.
Taylor M LampeDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Pei Yang HsiehDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Alexander ChenDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Rebecca OfraneDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Heather RollinsDepartment of Epidemiology and Biostatistics, Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA.
Lorna E ThorpeDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Usama BilalDepartment of Epidemiology and Biostatistics, Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA.
Marc N GourevitchDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.

Funding

The Health Consequences of Urban ScalingDP5OD026429 · OD · DREXEL UNIVERSITY · PI BILAL, USAMA · 2018 to 2022
$2.7M
NIH HHS DP5 OD026429
6 · The paper itself

Abstract

objectivesTo present the COVID Local Risk Index (CLRI), a measure of city- and neighborhood-level risk for SARS COV-2 infection and poor outcomes, and validate it using sub-city SARS COV-2 outcome data from 47 large U.S. cities.

methodsCross-sectional validation analysis of CLRI against SARS COV-2 incidence, percent positivity, hospitalization, and mortality. CLRI scores were validated against ZCTA-level SARS COV-2 outcome data gathered in 2020-2021 from public databases or through data use agreements using a negative binomial model.

resultsCLRI was associated with each SARS COV-2 outcome in pooled analysis. In city-level models, CLRI was positively associated with positivity in 11/14 cities for which data were available, hospitalization in 6/6 cities, mortality in 13/14 cities, and incidence in 33/47 cities.

conclusionsCLRI is a valid tool for assessing sub-city risk of SARS COV-2 infection and illness severity. Stronger associations with positivity, hospitalization and mortality may reflect differential testing access, greater weight on components associated with poor outcomes than transmission, omitted variable bias, or other reasons. City stakeholders can use the CLRI, publicly available on the City Health Dashboard (www.cityhealthdashboard.com), to guide SARS COV-2 resource allocation.

Indexed as

COVID-19CitiesCross-Sectional StudiesHospitalizationHumansSARS-CoV-2Covid-19SARS COV-2Urban health

Identifiers

PMID35623163
PMCPMC9128556

What OpenQuestion holds

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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.