Evidence map›Paper›PMID 40595162›Full record

ArticleScientific reports2025

Bayesian generalized poisson regression analysis of number of death attributed to household air pollution and associate factors in East Africa from 2010 to 2019 and projection up to 2030.

Abel Endawkie, Desale B Asmamaw, Awoke Keleb, Yawkal Tsega

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Abel EndawkieDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia. abelendawkie@gmail.com.
Desale B AsmamawDepartment of Reproductive Health Colleges of Medicine and Health Sciences, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Awoke KelebDepartment of Environmental Health College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Yawkal TsegaDepartment of Health System and Management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Household air pollution, primarily resulting from the use of solid fuels like wood, coal, and kerosene, presents a major public health challenge in East Africa. This contributes to elevated levels of household air pollutants, which are linked to increased morbidity and mortality rates, particularly from respiratory and cardiovascular diseases. However, the evidence of household air attributed number of death and its associated factor is limited in east Africa. Therefore this study investigated the trend of death attributed to household air pollution and associate factors in East Africa from 2010 to 2019 and projection up to 2030. This study analyzed mortality attributed to household air pollution in East Africa from 2010 to 2019 using data from the World Health Organization (WHO) Global Health Estimates. Bayesian generalized Poisson regression and autoregressive integrated moving average (ARIMA) modeling were employed to examine the associated factors and project future mortality rates up to 2030 respectively. The analysis highlighted substantial disparities in mortality rates linked to household air pollution. In 2019, these rates peaked at around 134,709 deaths. Projections indicate that, if current trends persist, East Africa may experience approximately 134,709 premature deaths each year. Acute lower respiratory infections accounted for around 21% of these deaths, while chronic obstructive pulmonary disease was responsible for about 19%. The analysis identified significant disparities in mortality rates based on sex, geographic location, underlying health conditions and year. This study highlights the significant burden of mortality attributed to household air pollution from 2010 to 2019 with a concerning upward trend in deaths, particularly from 2014 to 2019 with disproportionately affect vulnerable populations. The projections indicate that the mortality burden may continue if current trend continuous. The disparities observed across different countries, clinical condition, and sex groups emphasize the need for targeted public health interventions that address the specific risks associated with household air pollution. In the future longitudinal studies and comprehensive analysis of determinants of mortality associated with household air pollution in East Africa is essential.

Indexed as

Air PollutionAir Pollution, IndoorAdolescentAdultAfrica, EasternAgedAir PollutantsBayes TheoremFamily CharacteristicsFemaleHumansMaleMiddle AgedMortalityPoisson DistributionRegression AnalysisAir PollutantsAssociate factorsBayesian generalized Poisson regression analysisEast AfricaHousehold air pollutionNumber of deathProjection up to 2030

Identifiers

PMID40595162
PMCPMC12215876

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.