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Relationship between living conditions in neighborhoods in the Northeast Brazil and Covid-19 estimates during the third wave associated with the Omicron variant

Bibliographic Data

ID7668809
AuthorsPaulo Ricardo Martins-Filho (0000-0001-8779-0727, Universidade Federal de Sergipe, corresponding author), Victor Santana Santos (0000-0003-0194-7397, Universidade Federal de Sergipe)
Year2022
Volume67
Issue3-4
Pages224-228
Publication date2022-10-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueBiodemography and Social Biology (JOURNAL)
Journal identifiersISSN: 1948-5565 • E-ISSN: 1948-5573
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/19485565.2022.2149464
PMID36417277
OpenAlexW4309825883
LanguageEN
References cited6

Brazil experienced a critical increase in COVID-19 cases during the first weeks of 2022 due to community transmission of the SARS-CoV-2 Omicron variant. Furthermore, there has been a significant increase in the country's demand for hospital beds, especially among those unvaccinated or partially vaccinated. Despite this scenario, the number of deaths was considerably lower than in previous COVID-19 waves. However, evidence is limited regarding the disease burden at this stage of the pandemic in more vulnerable regions. In this ecological study, we investigated the impacts of the third wave of COVID-19 caused by the Omicron on cases and deaths in a region of Northeast Brazil, and their relationship with the living conditions of the population in a neighborhood-level analysis. We found that neighborhoods with worse living conditions had a lower COVID-19 incidence (median 193.4 cases per 10 000) than those with better living conditions (median 335.1 cases per 10 000) (p < .001), but no differences were found regarding mortality. Despite advances in vaccination coverage against the disease in Brazil and the significant reduction in the number of deaths during the third wave, our findings may suggest differences in access to diagnostic resources for COVID-19 in the poorest communities

Disease · Geography · Pandemic · Population · Third wave · COVID-19 Clinical Research Studies · COVID-19 epidemiological studies · Demography · Medicine · SARS-CoV-2 and COVID-19 Research

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