Evidence map›Paper›PMID 34271870›Full record

ArticleBMC infectious diseases2021

Time-varying associations between COVID-19 case incidence and community-level sociodemographic, occupational, environmental, and mobility risk factors in Massachusetts.

Koen F Tieskens, Prasad Patil, Jonathan I Levy, Paige Brochu, Kevin J Lane, M Patricia Fabian, Fei Carnes, Beth M Haley, Keith R Spangler, Jessica H Leibler

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Evolution of COVID-19 Health Disparities in Arizona.Journal of immigrant and minority health · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Koen F TieskensDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Prasad PatilDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Jonathan I LevyDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Paige BrochuDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Kevin J LaneDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
M Patricia FabianDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Fei CarnesDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Beth M HaleyDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Keith R SpanglerDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Jessica H LeiblerDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA. jleibler@bu.edu.

Funding

Environmental Epidemiology in Community SettingsT32ES014562 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Birgit Gunhild Claus Henn · 2006 to 2026
$7.7M
Project 3: Cumulative Risk and Geospatial Health Disparities Related to Chemical and Non-Chemical Stressor ExposuresP50MD010428 · NIMHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI LADEN, FRANCINE, LEVY, JONATHAN I · 2015 to 2020
$4.0M
NIEHS NIH HHS T32 ES014562NIMHD NIH HHS P50 MD010428
6 · The paper itself

Abstract

backgroundAssociations between community-level risk factors and COVID-19 incidence have been used to identify vulnerable subpopulations and target interventions, but the variability of these associations over time remains largely unknown. We evaluated variability in the associations between community-level predictors and COVID-19 case incidence in 351 cities and towns in Massachusetts from March to October 2020.

methodsUsing publicly available sociodemographic, occupational, environmental, and mobility datasets, we developed mixed-effect, adjusted Poisson regression models to depict associations between these variables and town-level COVID-19 case incidence data across five distinct time periods from March to October 2020. We examined town-level demographic variables, including population proportions by race, ethnicity, and age, as well as factors related to occupation, housing density, economic vulnerability, air pollution (PM

resultsAssociations between key predictor variables and town-level incidence varied across the five time periods. We observed reductions over time in the association with percentage of Black residents (IRR = 1.12 [95%CI: 1.12-1.13]) in early spring, IRR = 1.01 [95%CI: 1.00-1.01] in early fall) and COVID-19 incidence. The association with number of long-term care facility beds per capita also decreased over time (IRR = 1.28 [95%CI: 1.26-1.31] in spring, IRR = 1.07 [95%CI: 1.05-1.09] in fall). Controlling for other factors, towns with higher percentages of essential workers experienced elevated incidences of COVID-19 throughout the pandemic (e.g., IRR = 1.30 [95%CI: 1.27-1.33] in spring, IRR = 1.20 [95%CI: 1.17-1.22] in fall). Towns with higher proportions of Latinx residents also had sustained elevated incidence over time (IRR = 1.19 [95%CI: 1.18-1.21] in spring, IRR = 1.14 [95%CI: 1.13-1.15] in fall).

conclusionsTown-level COVID-19 risk factors varied with time in this study. In Massachusetts, racial (but not ethnic) disparities in COVID-19 incidence may have decreased across the first 8 months of the pandemic, perhaps indicating greater success in risk mitigation in selected communities. Our approach can be used to evaluate effectiveness of public health interventions and target specific mitigation efforts on the community level.

Indexed as

Social EnvironmentAdultAgedAged, 80 and overCOVID-19EthnicityFemaleHealth Status DisparitiesHumansIncidenceIncomeMaleMassachusettsMiddle AgedMovementOccupations

Identifiers

PMID34271870
PMCPMC8283097

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.