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Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study

BACKGROUND: Ensuring health equity, especially for vulnerable populations in less developed settings with poor health system is essential for the current and future global health threats. This study examined geographical variations of COVID-19 mortality and its association with population health cha...

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Autores principales: Surendra, Henry, Paramita, Danarastri, Arista, Nora N., Putri, Annisa I., Siregar, Akbar A., Puspaningrum, Evelyn, Rosylin, Leni, Gardera, Dida, Girianna, Montty, Elyazar, Iqbal R. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840537/
https://www.ncbi.nlm.nih.gov/pubmed/36641453
http://dx.doi.org/10.1186/s12889-023-15015-0
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author Surendra, Henry
Paramita, Danarastri
Arista, Nora N.
Putri, Annisa I.
Siregar, Akbar A.
Puspaningrum, Evelyn
Rosylin, Leni
Gardera, Dida
Girianna, Montty
Elyazar, Iqbal R. F.
author_facet Surendra, Henry
Paramita, Danarastri
Arista, Nora N.
Putri, Annisa I.
Siregar, Akbar A.
Puspaningrum, Evelyn
Rosylin, Leni
Gardera, Dida
Girianna, Montty
Elyazar, Iqbal R. F.
author_sort Surendra, Henry
collection PubMed
description BACKGROUND: Ensuring health equity, especially for vulnerable populations in less developed settings with poor health system is essential for the current and future global health threats. This study examined geographical variations of COVID-19 mortality and its association with population health characteristics, health care capacity in responding pandemic, and socio-economic characteristics across 514 districts in Indonesia. METHODS: This nationwide ecological study included aggregated data of COVID-19 cases and deaths from all 514 districts in Indonesia, recorded in the National COVID-19 Task Force database, during the first two years of the epidemic, from 1 March 2020 to 27 February 2022. The dependent variable was district-level COVID-19 mortality rate per 100,000 populations. The independent variables include district-level COVID-19 incidence rate, population health, health care capacity, and socio-demographics data from government official sources. We used multivariable ordinal logistic regression to examine factors associated with higher mortality rate. RESULTS: Of total 5,539,333 reported COVID-19 cases, 148,034 (2.7%) died, and 5,391,299 (97.4%) were recovered. The district-level mortality rate ranged from 0 to 284 deaths per 100,000 populations. The top five districts with the highest mortality rate were Balikpapan (284 deaths per 100,000 populations), Semarang (263), Madiun (254), Magelang (250), and Yogyakarta (247). A higher COVID-19 incidence (coefficient 1.64, 95% CI 1.22 to 1.75), a higher proportion of ≥ 60 years old population (coefficient 0.26, 95% CI 0.06 to 0.46), a higher prevalence of diabetes mellitus (coefficient 0.60, 95% CI 0.37 to 0.84), a lower prevalence of obesity (coefficient -0.32, 95% CI -0.56 to -0.08), a lower number of nurses per population (coefficient -0.27, 95% CI -0.50 to -0.04), a higher number of midwives per population (coefficient 0.32, 95% CI 0.13 to 0.50), and a higher expenditure (coefficient 0.34, 95% CI 0.10 to 0.57) was associated with a higher COVID-19 mortality rate. CONCLUSION: COVID-19 mortality rate in Indonesia was highly heterogeneous and associated with higher COVID-19 incidence, different prevalence of pre-existing comorbidity, healthcare capacity in responding the pandemic, and socio-economic characteristics. This study revealed the need of controlling both COVID-19 and those known comorbidities, health capacity strengthening, and better resource allocation to ensure optimal health outcomes for vulnerable population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15015-0.
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spelling pubmed-98405372023-01-16 Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study Surendra, Henry Paramita, Danarastri Arista, Nora N. Putri, Annisa I. Siregar, Akbar A. Puspaningrum, Evelyn Rosylin, Leni Gardera, Dida Girianna, Montty Elyazar, Iqbal R. F. BMC Public Health Research BACKGROUND: Ensuring health equity, especially for vulnerable populations in less developed settings with poor health system is essential for the current and future global health threats. This study examined geographical variations of COVID-19 mortality and its association with population health characteristics, health care capacity in responding pandemic, and socio-economic characteristics across 514 districts in Indonesia. METHODS: This nationwide ecological study included aggregated data of COVID-19 cases and deaths from all 514 districts in Indonesia, recorded in the National COVID-19 Task Force database, during the first two years of the epidemic, from 1 March 2020 to 27 February 2022. The dependent variable was district-level COVID-19 mortality rate per 100,000 populations. The independent variables include district-level COVID-19 incidence rate, population health, health care capacity, and socio-demographics data from government official sources. We used multivariable ordinal logistic regression to examine factors associated with higher mortality rate. RESULTS: Of total 5,539,333 reported COVID-19 cases, 148,034 (2.7%) died, and 5,391,299 (97.4%) were recovered. The district-level mortality rate ranged from 0 to 284 deaths per 100,000 populations. The top five districts with the highest mortality rate were Balikpapan (284 deaths per 100,000 populations), Semarang (263), Madiun (254), Magelang (250), and Yogyakarta (247). A higher COVID-19 incidence (coefficient 1.64, 95% CI 1.22 to 1.75), a higher proportion of ≥ 60 years old population (coefficient 0.26, 95% CI 0.06 to 0.46), a higher prevalence of diabetes mellitus (coefficient 0.60, 95% CI 0.37 to 0.84), a lower prevalence of obesity (coefficient -0.32, 95% CI -0.56 to -0.08), a lower number of nurses per population (coefficient -0.27, 95% CI -0.50 to -0.04), a higher number of midwives per population (coefficient 0.32, 95% CI 0.13 to 0.50), and a higher expenditure (coefficient 0.34, 95% CI 0.10 to 0.57) was associated with a higher COVID-19 mortality rate. CONCLUSION: COVID-19 mortality rate in Indonesia was highly heterogeneous and associated with higher COVID-19 incidence, different prevalence of pre-existing comorbidity, healthcare capacity in responding the pandemic, and socio-economic characteristics. This study revealed the need of controlling both COVID-19 and those known comorbidities, health capacity strengthening, and better resource allocation to ensure optimal health outcomes for vulnerable population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15015-0. BioMed Central 2023-01-14 /pmc/articles/PMC9840537/ /pubmed/36641453 http://dx.doi.org/10.1186/s12889-023-15015-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Surendra, Henry
Paramita, Danarastri
Arista, Nora N.
Putri, Annisa I.
Siregar, Akbar A.
Puspaningrum, Evelyn
Rosylin, Leni
Gardera, Dida
Girianna, Montty
Elyazar, Iqbal R. F.
Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study
title Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study
title_full Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study
title_fullStr Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study
title_full_unstemmed Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study
title_short Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study
title_sort geographical variations and district-level factors associated with covid-19 mortality in indonesia: a nationwide ecological study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840537/
https://www.ncbi.nlm.nih.gov/pubmed/36641453
http://dx.doi.org/10.1186/s12889-023-15015-0
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