Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria.
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....
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0291118 |
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| _version_ | 1839594213422923776 |
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| author | Samuel A Akinseinde Samson Kosemani Emmanuel Osuolale Nina Cesare Samantha Pellicane Elaine O Nsoesie |
| author_facet | Samuel A Akinseinde Samson Kosemani Emmanuel Osuolale Nina Cesare Samantha Pellicane Elaine O Nsoesie |
| author_sort | Samuel A Akinseinde |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3d6901ac983e4ed48c8be6fd8b95d563 |
| institution | Matheson Library |
| issn | 1932-6203 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-3d6901ac983e4ed48c8be6fd8b95d5632025-08-03T00:37:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01189e029111810.1371/journal.pone.0291118Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria.Samuel A AkinseindeSamson KosemaniEmmanuel OsuolaleNina CesareSamantha PellicaneElaine O NsoesieThis 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.https://doi.org/10.1371/journal.pone.0291118 |
| spellingShingle | Samuel A Akinseinde Samson Kosemani Emmanuel Osuolale Nina Cesare Samantha Pellicane Elaine O Nsoesie Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria. PLoS ONE |
| title | Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria. |
| title_full | Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria. |
| title_fullStr | Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria. |
| title_full_unstemmed | Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria. |
| title_short | Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria. |
| title_sort | association between wealth insurance coverage urban residence median age and covid 19 deaths across states in nigeria |
| url | https://doi.org/10.1371/journal.pone.0291118 |
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