Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018
Instruction To help determine the health protectiveness of government regulations and policies for air pollutant control for Americans, our study aimed to investigate the health and economic impacts of work loss due to sickness associated with daily all-source and wildfire-specific PM2.5 (particulat...
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BMJ Publishing Group
2024-07-01
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| Series: | BMJ Public Health |
| Online Access: | https://bmjpublichealth.bmj.com/content/2/1/e000491.full |
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| author | Michael Jerrett Yu Yu Ying-Ying Meng Diane Garcia-Gonzales Mohammad Z Al-Hamdan Miriam E Marlier Joseph L Wilkins Ninez Ponce |
| author_facet | Michael Jerrett Yu Yu Ying-Ying Meng Diane Garcia-Gonzales Mohammad Z Al-Hamdan Miriam E Marlier Joseph L Wilkins Ninez Ponce |
| author_sort | Michael Jerrett |
| collection | DOAJ |
| description | Instruction To help determine the health protectiveness of government regulations and policies for air pollutant control for Americans, our study aimed to investigate the health and economic impacts of work loss due to sickness associated with daily all-source and wildfire-specific PM2.5 (particulate matter with an aerodynamic diameter smaller than 2.5 μm) exposures in California.Methods We linked the 2015–2018 California Health Interview Survey respondents’ geocoded home addresses to daily PM2.5 estimated by satellites and atmospheric modelling simulations and wildfire-related PM2.5 from Community Multiscale Air Quality models. We calculated and applied the coefficient for the association between daily PM2.5 exposure and work loss from regression analyses to the Environmental Benefits Mapping and Analysis Program—Community Edition (BenMAP-CE) platform to assess the health and economic impacts of PM2.5 exposure on work loss due to sickness.Results We observed that each 1 µg/m3 increase in daily total PM2.5 exposure will lead to about 1 million days of work loss per year ranging from 1.1 to 1.6 million person-days, and the related economic loss was $310–390 million. Wildfire smoke alone could contribute to 0.7–2.6 million work-loss days with a related economic loss of $129–521 million per year in 2015–2018. Using the function coefficient in the current BenMAP, the excess work-loss days due to sickness was about 250 000 days and the estimated economic loss was about $45–50 million for each 1 µg/m3 increase in daily total PM2.5 exposure, and wildfire smoke alone would lead to 0.17–0.67 million work-loss days with related economic loss of $31–128 million per year during the same period.Conclusions Both conventional and wildfire-specific sources of PM2.5 produced substantial work loss and cost in California. Updating the current BenMAP-CE calculations for work-loss days will be essential in quantifying the current health impacts of PM2.5 to help inform the policies and regulations to protect public health. |
| format | Article |
| id | doaj-art-3cf4ef306aee4f27bb53248f10608077 |
| institution | Kabale University |
| issn | 2753-4294 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | BMJ Publishing Group |
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| series | BMJ Public Health |
| spelling | doaj-art-3cf4ef306aee4f27bb53248f106080772025-01-28T19:45:09ZengBMJ Publishing GroupBMJ Public Health2753-42942024-07-012110.1136/bmjph-2023-000491Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018Michael Jerrett0Yu Yu1Ying-Ying Meng2Diane Garcia-Gonzales3Mohammad Z Al-Hamdan4Miriam E Marlier5Joseph L Wilkins6Ninez Ponce7Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USACenter for Health Policy Research, University of California Los Angeles, Los Angeles, California, USACenter for Health Policy Research, University of California Los Angeles, Los Angeles, California, USADepartment of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USADepartment of Civil Engineering, School of Engineering, University of Mississippi, Oxford, Mississippi, USADepartment of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USAInterdisciplinary Studies Department, Howard University, Washington, District of Columbia, USACenter for Health Policy Research, University of California Los Angeles, Los Angeles, California, USAInstruction To help determine the health protectiveness of government regulations and policies for air pollutant control for Americans, our study aimed to investigate the health and economic impacts of work loss due to sickness associated with daily all-source and wildfire-specific PM2.5 (particulate matter with an aerodynamic diameter smaller than 2.5 μm) exposures in California.Methods We linked the 2015–2018 California Health Interview Survey respondents’ geocoded home addresses to daily PM2.5 estimated by satellites and atmospheric modelling simulations and wildfire-related PM2.5 from Community Multiscale Air Quality models. We calculated and applied the coefficient for the association between daily PM2.5 exposure and work loss from regression analyses to the Environmental Benefits Mapping and Analysis Program—Community Edition (BenMAP-CE) platform to assess the health and economic impacts of PM2.5 exposure on work loss due to sickness.Results We observed that each 1 µg/m3 increase in daily total PM2.5 exposure will lead to about 1 million days of work loss per year ranging from 1.1 to 1.6 million person-days, and the related economic loss was $310–390 million. Wildfire smoke alone could contribute to 0.7–2.6 million work-loss days with a related economic loss of $129–521 million per year in 2015–2018. Using the function coefficient in the current BenMAP, the excess work-loss days due to sickness was about 250 000 days and the estimated economic loss was about $45–50 million for each 1 µg/m3 increase in daily total PM2.5 exposure, and wildfire smoke alone would lead to 0.17–0.67 million work-loss days with related economic loss of $31–128 million per year during the same period.Conclusions Both conventional and wildfire-specific sources of PM2.5 produced substantial work loss and cost in California. Updating the current BenMAP-CE calculations for work-loss days will be essential in quantifying the current health impacts of PM2.5 to help inform the policies and regulations to protect public health.https://bmjpublichealth.bmj.com/content/2/1/e000491.full |
| spellingShingle | Michael Jerrett Yu Yu Ying-Ying Meng Diane Garcia-Gonzales Mohammad Z Al-Hamdan Miriam E Marlier Joseph L Wilkins Ninez Ponce Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 BMJ Public Health |
| title | Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 |
| title_full | Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 |
| title_fullStr | Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 |
| title_full_unstemmed | Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 |
| title_short | Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 |
| title_sort | health and economic cost estimates of short term total and wildfire pm2 5 exposure on work loss using the consecutive california health interview survey chis data 2015 2018 |
| url | https://bmjpublichealth.bmj.com/content/2/1/e000491.full |
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