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Dissemination of COVID-19 in inland cities of Northeastern Brazil.
Costa de Assis, Sanderson José; Lopes, Johnnatas Mikael; de Lima Filho, Bartolomeu Fagundes; José Bouzas Sanchis, Geronimo; Sousa Rodrigues Guedes, Thais; Limeira Cavalcanti, Rafael; Araujo, Diego Neves; José Sarmento da Nóbrega, Antonio; Barbosa Otoni Gonçalves Guedes, Marcello; Giuseppe Roncalli da Costa Oliveira, Angelo.
Afiliación
  • Costa de Assis SJ; Public Health Program, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
  • Lopes JM; Medicine Department, Universidade Federal do Vale do São Francisco, Bahia, Petrolina, Brazil.
  • de Lima Filho BF; Physical Therapy Department, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
  • José Bouzas Sanchis G; Public Health Program, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
  • Sousa Rodrigues Guedes T; Health Sciences, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
  • Limeira Cavalcanti R; Faculdade Uninassau, Natal, Rio Grande do Norte, Brazil.
  • Araujo DN; Medicine Department, College of Health Sciences, Paraíba, Campina Grande, Brazil.
  • José Sarmento da Nóbrega A; Physical Therapy Department, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
  • Barbosa Otoni Gonçalves Guedes M; Physical Therapy Department, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
  • Giuseppe Roncalli da Costa Oliveira A; Public Health Program, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
PLoS One ; 16(7): e0253171, 2021.
Article en En | MEDLINE | ID: mdl-34242229
BACKGROUND: SARS-CoV-2 causes the new coronavirus disease (COVID-19) and it is weakening all health systems. Therefore, the most vulnerable populations are exposed to harmful consequences, such as illness and death. Thus, this study aims to estimate the temporal effect of COVID-19 dissemination on social indicators of the Northeastern region of Brazil. METHODS: An ecological time-series study was developed with the following: diagnosed cases of COVID-19 in the largest inland cities of Northeast Brazil, Human Development Index (HDI), poverty incidence, and Gini coefficient. Cities with high HDI, poverty rate, and Gini presented a larger number of patients. RESULTS: It was observed by evaluating case trends that COVID-19 spreads unevenly in inland cities of the Northeastern region of Brazil. CONCLUSIONS: In this sense, we emphasize that regional health managers should support small cities with vulnerable population and social assistance.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Incidence_studies / Prognostic_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Incidence_studies / Prognostic_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos