{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T12:32:02Z","timestamp":1756384322632,"version":"3.41.2"},"reference-count":40,"publisher":"PAGEPress Publications","issue":"2","license":[{"start":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T00:00:00Z","timestamp":1689206400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geospat Health"],"abstract":"<jats:p>The article presents an analysis of the spatial distribution of mortality from COVID-19 and its association with socioeconomic indicators in the north-eastern region of Brazil - an area particularly vulnerable with regard to these indicators. This populationbased ecology study was carried out at the municipal level in the years 2020 and 2021, with analyses performed by spatial autocorrelation, multiple linear regression and spatial autoregressive models. The results showed that mortality from COVID-19 in this part of Brazil was higher in the most populous cities with better socioeconomic indicators. Factors such as the onset of the COVID-19 pandemic in large cities, the agglomerations existing within them, the pressure to maintain economic activities and mistakes in the management of the pandemic by the Brazilian federal Government were part of the complex scenario related to the spread of COVID-19 in the country and this study was undertaken in an attempt to understand this situation. Analysing the different scenarios is essential to face the challenges posed by the pandemic to the world\u2019s health systems.<\/jats:p>","DOI":"10.4081\/gh.2023.1206","type":"journal-article","created":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T08:39:20Z","timestamp":1689237560000},"source":"Crossref","is-referenced-by-count":1,"title":["Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study"],"prefix":"10.4081","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8642-9868","authenticated-orcid":false,"given":"Jo\u00e3o Batista","family":"Cavalcante Filho","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0953-9320","authenticated-orcid":false,"given":"Marco Aur\u00e9lio de Oliveira","family":"G\u00f3es","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dami\u00e3o da Concei\u00e7\u00e3o","family":"Ara\u00fajo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9047-5875","authenticated-orcid":false,"given":"Marcus Valerius da Silva","family":"Peixoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco Ant\u00f4nio Prado","family":"Nunes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2549","published-online":{"date-parts":[[2023,7,13]]},"reference":[{"key":"11892","doi-asserted-by":"publisher","DOI":"10.4269\/ajtmh.21-0744"},{"key":"11893","doi-asserted-by":"publisher","DOI":"10.1590\/0037-8682-0287-2020"},{"key":"11894","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-4632.1995.tb00338.x"},{"key":"11895","unstructured":"Anselin L, Bera AK, 1998. 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