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Assessment of Suspected COVID-19 Deaths in Nonhealthcare Settings in Côte d'Ivoire, March 11 to July 31, 2020.
Ndiaye, Serigne M; Tiembre, Isaac; Amani, Yao Me Raphael; Zamina, Bi Yourou Guillaume; Vroh, Joseph Bénié Bi; Diarrassouba, Mamadou.
Afiliação
  • Ndiaye SM; Serigne M. Ndiaye, PhD, is Epidemiologists, Division of Global Health Protection, US Centers for Disease Control and Prevention, Atlanta, GA.
  • Tiembre I; Isaac Tiembre, MD, is a Research Professors, Institut National d'Hygiene Publique, Abidjan, Côte d'Ivoire.
  • Amani YMR; Yao Me Raphael Amani, MD, MPH, is a Medical Epidemiologist, Institut National d'Hygiene Publique, Abidjan, Côte d'Ivoire.
  • Zamina BYG; Bi Yourou Guillaume Zamani, PhD, is a Research Associate, Institut National d'Hygiene Publique, Abidjan, Côte d'Ivoire.
  • Vroh JBB; Joseph Bénié Bi Vroh, MD, is a Research Professors, Institut National d'Hygiene Publique, Abidjan, Côte d'Ivoire.
  • Diarrassouba M; Mamadou Diarrassouba, MD, MPH, is Epidemiologists, Division of Global Health Protection, US Centers for Disease Control and Prevention, Atlanta, GA.
Health Secur ; 21(4): 280-285, 2023.
Article em En | MEDLINE | ID: mdl-37352426
ABSTRACT
According to hospital records, 5 months after reporting its first case of COVID-19, Côte d'Ivoire reported only 102 deaths. We conducted a community mortality survey in the 13 districts where 95% of COVID-19 cases were reported to assess COVID-19 mortality in nonhealthcare settings. To identify suspected COVID-19 deaths in communities, we used data from social and administrative institutions, such as police and fire departments, funeral homes, and places of worship, whose functions include providing services related to deaths. Our survey identified 54 (17.6%) suspected COVID-19 deaths, which is more than half of the official reported number. Our study showed that in areas with low access to healthcare and poorly functioning death notification and registration systems, community-based data sources could be used to identify suspected COVID-19 deaths outside of the health sector. They can provide early warning data on events, such as an unusual number of community deaths or diseases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Health Secur Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Gabão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Health Secur Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Gabão