Why did COVID-19 affect some cities more than others? Insights from Brazil before vaccination

This paper examines the local impact of COVID-19 in 2,500 cities in Brazil, contrasting findings with existing international estimates. It shows that pre-pandemic city characteristics have time-varying correlations with COVID-19 deaths per capita in Brazil and that the evolution of these correlations can differ significantly from other countries. Some patterns, such as the association between population density and mortality, are consistent across international experiences. However, in contrast to the U.S. but consistent with studies in China, Italy, and other European countries, the pandemic in Brazil took a greater toll on cities with higher income levels. This is consistent with the fact that higher incomes correlate with greater mobility in Brazil. Other city characteristics, such as the presence of slums and high residential crowding, also correlate with higher death rates per capita in Brazil. Nonetheless, these vulnerabilities do not appear to be driven by mobility differences, as people in cities with these characteristics had a greater propensity to stay home.

Authors

Institutions

Publication Details

Journal
Regional Science Policy & Practice
Published
2024-10-11
DOI
https://doi.org/10.1016/j.rspp.2024.100138
Citations
5
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.98
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Why did COVID-19 affect some cities more than others? Insights from Brazil before vaccination

Juan Pablo Chauvin
5 citations
Regional Science Policy & Practice
COVID-19 epidemiological studies
1.98
article

Why did COVID-19 affect some cities more than others? Insights from Brazil before vaccination

Juan Pablo Chauvin
article en
5 citations

Abstract

This paper examines the local impact of COVID-19 in 2,500 cities in Brazil, contrasting findings with existing international estimates. It shows that pre-pandemic city characteristics have time-varying correlations with COVID-19 deaths per capita in Brazil and that the evolution of these correlations can differ significantly from other countries. Some patterns, such as the association between population density and mortality, are consistent across international experiences. However, in contrast to the U.S. but consistent with studies in China, Italy, and other European countries, the pandemic in Brazil took a greater toll on cities with higher income levels. This is consistent with the fact that higher incomes correlate with greater mobility in Brazil. Other city characteristics, such as the presence of slums and high residential crowding, also correlate with higher death rates per capita in Brazil. Nonetheless, these vulnerabilities do not appear to be driven by mobility differences, as people in cities with these characteristics had a greater propensity to stay home.

Regional Science Policy & PracticeVol. 16(12)
Inter-American Development Bank (US)
Openalex Percentile: Top 14%
COVID-19 epidemiological studies
1.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.