Evidence map›Paper›PMID 37293100›Full record

ArticlemedRxiv : the preprint server for health sciences2023

State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project.

Grace A Noppert, Philippa Clarke, Andrew Hoover, John Kubale, Robert Melendez, Kate Duchowny, Sonia T Hegde

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Grace A NoppertInstitute for Social Research, University of Michigan.
Philippa ClarkeInstitute for Social Research, University of Michigan.
Andrew HooverInstitute for Social Research, University of Michigan.
John KubaleInstitute for Social Research, University of Michigan.
Robert MelendezInstitute for Social Research, University of Michigan.
Kate DuchownyInstitute for Social Research, University of Michigan.
Sonia T HegdeDepartment of Epidemiology, Johns Hopkins University.

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
Consortium Coordinating Center for Social, Behavioral, and Economic Research on Public Health Emergencies Supplement #2U24AG076462 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI John Kubale, Margaret Catherine Levenstein · 2021 to 2026
$5.9M
Network on Life Course Health Dynamics and Disparities in 21st Century America RenewalR24AG045061 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, Sarah A. Burgard · 2014 to 2026
$5.2M
From Biological to Social Processes: Interdisciplinary Training in Life Course ResearchT32HD091058 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT A HUMMER, Amanda L Thompson · 2017 to 2026
$4.3M
A National Neighborhood Data Resource to Understand the Health and Socioeconomic Impacts of the 2020 Pandemic in the United StatesU01NR020556 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Philippa Clarke, Grace A Noppert · 2022 to 2026
$3.2M
Examining the role of the neighborhood environment on muscle function in older adultsR00AG066846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DUCHOWNY, CATHERINE · 2023 to 2025
$742k
NIA NIH HHS P30 AG024824NIA NIH HHS R00 AG066846NIA NIH HHS R24 AG045061NIA NIH HHS U24 AG076462NICHD NIH HHS T32 HD091058NINR NIH HHS U01 NR020556
6 · The paper itself

Abstract

A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 burden has been distributed across neighborhoods, a known geographic unit of both risk and resilience, and is hampering efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities. Using spatially-referenced data from 21 states at the ZIP code or census tract level, we documented how the distribution of COVID-19 at the neighborhood-level varies significantly within and between states. The median case count per neighborhood (IQR) in Oregon was 3,608 (2,487) per 100,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (IQR) was 8,142 (11,031) per 100,000. We also found that the association between features of the neighborhood social environment and burden varied in magnitude and direction by state. Our findings underscore the importance of local contexts when addressing the long-term social and economic fallout communities will face from COVID-19.

Identifiers

PMID37293100
PMCPMC10246150

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.