Evidence map›Paper›PMID 32966344›Full record

ArticlePloS one2020

City size and the spreading of COVID-19 in Brazil.

Haroldo V Ribeiro, Andre S Sunahara, Jack Sutton, Matjaž Perc, Quentin S Hanley

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

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

  1. Pooled it
  2. Article
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  6. Socioecology and Prevalence of SARS-CoV-2 Infection in Quilombolas Living in the Brazilian Amazon.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  7. Scaling COVID-19 rates with population size in the United States.Journal of the Royal Society, Interface · 2025
    Article
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  9. Article
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  11. Article
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  13. Article
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  18. COVID-19 transmission in cities.European economic review · 2022
    Article
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  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

5 authors.

Haroldo V RibeiroDepartamento de Física, Universidade Estadual de Maringá, Maringá, Brazil.ORCID 0000-0002-9532-5195
Andre S SunaharaDepartamento de Física, Universidade Estadual de Maringá, Maringá, Brazil.
Jack SuttonSchool of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, United Kingdom.ORCID 0000-0002-7635-6578
Matjaž PercFaculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia.ORCID 0000-0002-3087-541X
Quentin S HanleySchool of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current outbreak of the coronavirus disease 2019 (COVID-19) is an unprecedented example of how fast an infectious disease can spread around the globe (especially in urban areas) and the enormous impact it causes on public health and socio-economic activities. Despite the recent surge of investigations about different aspects of the COVID-19 pandemic, we still know little about the effects of city size on the propagation of this disease in urban areas. Here we investigate how the number of cases and deaths by COVID-19 scale with the population of Brazilian cities. Our results indicate small towns are proportionally more affected by COVID-19 during the initial spread of the disease, such that the cumulative numbers of cases and deaths per capita initially decrease with population size. However, during the long-term course of the pandemic, this urban advantage vanishes and large cities start to exhibit higher incidence of cases and deaths, such that every 1% rise in population is associated with a 0.14% increase in the number of fatalities per capita after about four months since the first two daily deaths. We argue that these patterns may be related to the existence of proportionally more health infrastructure in the largest cities and a lower proportion of older adults in large urban areas. We also find the initial growth rate of cases and deaths to be higher in large cities; however, these growth rates tend to decrease in large cities and to increase in small ones over time.

Indexed as

Population DensityAge DistributionBetacoronavirusBrazilCitiesCoronavirus InfectionsCOVID-19Health ServicesHumansPandemicsPneumonia, ViralSARS-CoV-2Time Factors

Identifiers

PMID32966344
PMCPMC7510961

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.