biostudies-literatureLiu SSouthern University of Science and TechnologyKey-Area Research and Development Program of Guangdong ProvinceMinistry of Science and Technology of the People&apos;s Republic of ChinaScience and Technology Foundation of Shenzhen CityBasic and Applied Basic Research Foundation of Guangdong ProvinceJiangsu Provincial Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Provincial Department of Science and TechnologyNational Natural Science Foundation of ChinaGuangdong University Research Project Science Team11256-11267https://www.ebi.ac.uk/biostudies/studies/S-EPMC11223482biostudies-literatureUnknown58(26)Short-term exposure to particles with aerodynamic diameters less than 2.5 μm (PM_2.5) and ozone (O₃) are important risk factors for human health. Despite the awareness of reducing attributable health burden, region-specific and source-specific strategies remain less explored due to the gap between precursor emissions and health effects. In this study, we isolate the health burden of individual sector sources of PM_2.5 and O₃ precursors, nitrogen oxides (NO_<i>x</i>) and volatile organic compounds (VOCs), across the globe. Specifically, we estimate mortalities attributable to short-term exposure using machine-learning-based daily exposure estimates and quantify sectoral impacts using chemical transport model simulations. Globally, short-teEnvironmental science & technologyShort-Term Exposure to Fine Particulate Matter and Ozone: Source Impacts and Attributable Mortalities.PMC112234822024A1515011951JCYJ20210324104604012ZDSYS20220606100604008JCYJ20220530115404009KHK0012023YFE01129002021KCXTD0042020B1111360001KQTD20210811090048025422051342020B151513000342375090Yang XLi XZhu LFu TMLiu SWei JJin JShu LfalseShort-Term Exposure to Fine Particulate Matter and Ozone: Source Impacts and Attributable Mortalities.Short-term exposure to particles with aerodynamic diameters less than 2.5 μm (PM_2.5) and ozone (O₃) are important risk factors for human health. Despite the awareness of reducing attributable health burden, region-specific and source-specific strategies remain less explored due to the gap between precursor emissions and health effects. In this study, we isolate the health burden of individual sector sources of PM_2.5 and O₃ precursors, nitrogen oxides (NO_<i>x</i>) and volatile organic compounds (VOCs), across the globe. Specifically, we estimate mortalities attributable to short-term exposure using machine-learning-based daily exposure estimates and quantify sectoral impacts using chemical transport model simulations. Globally, short-te2024-01-01T00:00:00Z2024 Jul2025-04-04T23:54:17.187Z2025-04-04T23:54:17.187ZS-EPMC112234823888509310.1021/acs.est.4c00339