Evidence map›Paper›PMID 36465997›Full record

ReviewThe Annals of regional science2022

Urban density and COVID-19: understanding the US experience.

Felipe Carozzi, Sandro Provenzano, Sefi Roth

Abstract readReview
In one paragraph

Review in The Annals of regional science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study.Archives of public health = Archives belges de sante publique · 2024
    Article
  7. Article
  8. Use of Population Weighted Density Index for Coronavirus Spread in the United States.Journal of health economics and outcomes research · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Cities in a pandemic: Evidence from China.Journal of regional science · 2022
    Article
  15. Article
  16. Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh.Transportation research interdisciplinary perspectives · 2022
    Article
  17. Article
  18. Article
  19. Language and the cultural markers of COVID-19.Social science & medicine (1982) · 2022
    Article
  20. 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

3 authors.

Felipe CarozziDepartment of Geography and Environment, London School of Economics, London, UK.
Sandro ProvenzanoDepartment of Geography and Environment, London School of Economics, London, UK.
Sefi RothDepartment of Geography and Environment, London School of Economics, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper revisits the debate around the link between population density and the severity of COVID-19 spread in the USA. We do so by conducting an empirical analysis based on graphical evidence, regression analysis and instrumental variable strategies borrowed from the agglomeration literature. Studying the period between the start of the epidemic and the beginning of the vaccination campaign at the end of 2020, we find that the cross-sectional relationship between density and COVID-19 deaths changed as the year evolved. Initially, denser counties experienced more COVID-19 deaths. Yet, by December, the relationship between COVID deaths and urban density was completely flat. This is consistent with evidence indicating density affected the timing of the outbreak-with denser locations more likely to have an early outbreak-yet had no influence on time-adjusted COVID-19 cases and deaths. Using data from Google, Facebook, the US Census and other sources, we investigate potential mechanisms behind these findings.

Identifiers

PMID36465997
PMCPMC9702884

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.