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ORIGINAL RESEARCH article

Front. Public Health

Sec. Environmental Health and Exposome

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1644191

This article is part of the Research TopicAssessing Environmental Influences on Maternal and Infant Health Amidst Climate ChangeView all 7 articles

The Global Burden of Neonatal sepsis Attributable to Air Pollution From 1990 to 2021: findings from the Global Burden of Disease Study 2021

Provisionally accepted
  • 1Henan University of Science and Technology, Luoyang, China
  • 2The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
  • 3The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
  • 4The Third People’s Provincial Hospital of Henan Province, Zhengzhou, China

The final, formatted version of the article will be published soon.

Abstract Background Neonatal sepsis remains a major disease threatening the lives of newborns. With the escalating global air pollution, substantial evidence indicates that air pollution is among the primary environmental threats to children's health. However, its contribution to the global burden of neonatal sepsis and other neonatal infections remains unclear. Although existing studies have established associations between air pollution and adverse neonatal outcomes, a comprehensive evaluation differentiating pollution types and accounting for socio-economic disparities across geographic regions remains lacking. This study fills this critical evidence gap. Methods Based on data from the Global Burden of Disease (GBD) Study 2021, we analyzed associations between air pollution, particulate matter pollution, household air pollution from solid fuels, and ambient particulate matter pollution and neonatal sepsis and other neonatal infections, calculating deaths, disability-adjusted life years (DALYs), and their corresponding age-standardized rates (ASRs). Subsequently, cluster analysis and decomposition analysis were conducted to identify regional patterns and quantify contributing factors. Finally, an autoregressive integrated moving average (ARIMA) model was employed to forecast the disease burden from 2022 to 2050. Result In 2021, global deaths from neonatal sepsis and related infections attributable to air pollution numbered 54,026 (95% UI: 45,371-64,084), a 23.48% decrease from 1990, with age-standardized death rates dropping 1.49% annually (EAPC = -1.49). Deaths from household solid fuel pollution fell by 30.65%, while ambient particulate matter pollution caused a 13.05% increase to 13,080 deaths. Low-SDI regions bore the highest death burden with 31,063 cases, and Western Africa showed the highest age-standardized mortality rate of 2.21. African countries like Sierra Leone ranked top globally. Male deaths and DALYs consistently exceeded female figures. Population growth was the primary driver of global burden increase, contributing 621.99% to deaths, mitigated by epidemiological improvements. Projections indicate continuous declines in air/household pollution-related deaths 2022-2050, steeper in females, while ambient particulate matter deaths may peak in 2027 before easing. Conclusion Overall, air pollution remains a significant public health challenge threatening neonatal health. Implementing targeted, geographically tailored interventions is essential to reduce disease burden resulting from air pollution.

Keywords: Neonatal sepsis, neonatal infections, Air Pollution, Particulate matter pollution, GBD

Received: 10 Jun 2025; Accepted: 02 Sep 2025.

Copyright: © 2025 Fu, Duan, Yu, Jiang, Liu, Bai, Wang, Hu, Chen, Liu, Chen, Liu, Qu and Fu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Qizhi Fu, Henan University of Science and Technology, Luoyang, China

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