Abstract
INTRODUCTION: Household crowding deserves
attention when evaluating the
transmission intensity of
SARS-CoV-2 in
Brazil . We aimed to evaluate the
association between
household crowding and COVID-19
incidence .
METHODS: Linear and Poisson
regression analyses were used to assess the
associations between indices of
household crowding (high, average, low) and COVID-19
incidence estimates.
RESULTS: Cities with a high index of
household crowding were linked with a significantly higher COVID-19
incidence estimate (excess of 461 per 100,000; 95%
confidence interval 371-558 per 100,000).
CONCLUSIONS: Crowding typically promotes
virus transmission . Considering urban and
housing structures is essential in designing
mitigation strategies during a
pandemic .