Evidence map›Paper›PMID 33882054›Full record

ArticlePloS one2021

Population density and basic reproductive number of COVID-19 across United States counties.

Karla Therese L Sy, Laura F White, Brooke E Nichols

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

  1. Trial
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  9. Methodology of Epidemic Risk Analysis in the Naval Military.International journal of environmental research and public health · 2025
    Review
  10. Scaling COVID-19 rates with population size in the United States.Journal of the Royal Society, Interface · 2025
    Article
  11. Observational
  12. Article
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  14. Article
  15. Article
  16. Article
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  20. Article

38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Karla Therese L SyDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America.ORCID 0000-0003-0608-9811
Laura F WhiteDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
Brooke E NicholsDepartment of Global Health, Boston University School of Public Health, Boston, MA, United States of America.ORCID 0000-0003-4682-4999

Funding

Supplement to Methods to Estimate the Effect of Interventions on the Incidence and Transmission of TuberculosisR01GM122876 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2017 to 2021
$1.9M
NIGMS NIH HHS R01 GM122876
6 · The paper itself

Abstract

The basic reproductive number (R0) is a function of contact rates among individuals, transmission probability, and duration of infectiousness. We sought to determine the association between population density and R0 of SARS-CoV-2 across U.S. counties. We conducted a cross-sectional analysis using linear mixed models with random intercept and fixed slopes to assess the association of population density and R0, and controlled for state-level effects using random intercepts. We also assessed whether the association was differential across county-level main mode of transportation percentage as a proxy for transportation accessibility, and adjusted for median household income. The median R0 among the United States counties was 1.66 (IQR: 1.35-2.11). A population density threshold of 22 people/km2 was needed to sustain an outbreak. Counties with greater population density have greater rates of transmission of SARS-CoV-2, likely due to increased contact rates in areas with greater density. An increase in one unit of log population density increased R0 by 0.16 (95% CI: 0.13 to 0.19). This association remained when adjusted for main mode of transportation and household income. The effect of population density on R0 was not modified by transportation mode. Our findings suggest that dense areas increase contact rates necessary for disease transmission. SARS-CoV-2 R0 estimates need to consider this geographic variability for proper planning and resource allocation, particularly as epidemics newly emerge and old outbreaks resurge.

Indexed as

Basic Reproduction NumberCOVID-19Cross-Sectional StudiesHumansModels, StatisticalPandemicsPopulation DensitySARS-CoV-2United States

Identifiers

PMID33882054
PMCPMC8059825

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.