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Article ; Online: 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

PloS one

2023  Volume 18, Issue 9, Page(s) e0291118

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 ...

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.
MeSH term(s) Insurance Coverage ; Urban Population ; COVID-19/mortality ; Humans ; Nigeria/epidemiology ; Sociodemographic Factors ; Age Factors ; Male ; Female
Language English
Publishing date 2023-09-08
Publishing country United States
Document type Journal Article
ZDB-ID 2267670-3
ISSN 1932-6203 ; 1932-6203
ISSN (online) 1932-6203
ISSN 1932-6203
DOI 10.1371/journal.pone.0291118
Database MEDical Literature Analysis and Retrieval System OnLINE

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