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Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria.
Akinseinde, Samuel A; Kosemani, Samson; Osuolale, Emmanuel; Cesare, Nina; Pellicane, Samantha; Nsoesie, Elaine O.
Afiliação
  • Akinseinde SA; The Amateur Polymath, Lagos, Nigeria.
  • Kosemani S; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • Osuolale E; Faculty of Engineering, Department of Marine Engineering, Rivers State University, Rivers State, Nigeria.
  • Cesare N; Biostatistics and Epidemiology Data Analytics Center, School of Public Health, Boston University, Boston, MA, United States of America.
  • Pellicane S; Department of Epidemiology, School of Public Health, Boston University, Boston, MA, United States of America.
  • Nsoesie EO; Department of Global Health, School of Public Health, Boston University, Boston, MA, United States of America.
PLoS One ; 18(9): e0291118, 2023.
Article em En | MEDLINE | ID: mdl-37682911
ABSTRACT
This study measures associations between COVID-19 deaths and sociodemographic factors (wealth, insurance coverage, urban residence, age, state population) for states in Nigeria across two waves of the COVID-19 pandemic February 27th 2020 to October 24th 2020 and October 25th 2020 to July 25th 2021. Data sources include 2018 Nigeria Demographic and Health Survey and Nigeria Centre for Disease Control (NCDC) COVID-19 daily reports. It uses negative binomial models to model deaths, and stratifies results by respondent gender. It finds that overall mortality rates were concentrated within three states Lagos, Edo and Federal Capital Territory (FCT) Abuja. Urban residence and insurance coverage are positively associated with differences in deaths for the full sample. The former, however, is significant only during the early stages of the pandemic. Associative differences in gender-stratified models suggest that wealth was a stronger protective factor for men and insurance a stronger protective factor for women. Associative strength between sociodemographic measures and deaths varies by gender and pandemic wave, suggesting that the pandemic impacted men and women in unique ways, and that the effectiveness of interventions should be evaluated for specific waves or periods.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Urbana / Cobertura do Seguro / COVID-19 / Fatores Sociodemográficos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Africa Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Urbana / Cobertura do Seguro / COVID-19 / Fatores Sociodemográficos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Africa Idioma: En Ano de publicação: 2023 Tipo de documento: Article