Health and Economic Impact Estimation of Ambient Air Particulate Matter (PM) Pollution in Addis Ababa Using BenMAP-CE Model
Exposure to ambient air particulate matter (PM 2.5 ) pollution presents a significant public health and economic challenge in Addis Ababa, Ethiopia. This thesis used the Environmental benefits mapping and analysis program-community edition (BenMAP-CE) software tool to estimate health and economic im...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-01-01
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| Series: | Environmental Health Insights |
| Online Access: | https://doi.org/10.1177/11786302241312061 |
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| author | Mulugeta Getachew Andualem Mekonnen Desta Fitsum |
| author_facet | Mulugeta Getachew Andualem Mekonnen Desta Fitsum |
| author_sort | Mulugeta Getachew |
| collection | DOAJ |
| description | Exposure to ambient air particulate matter (PM 2.5 ) pollution presents a significant public health and economic challenge in Addis Ababa, Ethiopia. This thesis used the Environmental benefits mapping and analysis program-community edition (BenMAP-CE) software tool to estimate health and economic impact of ambient air PM 2.5 pollution. The study evaluated the impact of decreasing the annual average PM 2.5 concentration in 2019 (32.8 µg/m 3 ) to different international and national air quality standards, including World health Organization’s guidelines and the Ethiopian National Ambient Air Quality standard (NAAQS). Results showed that Addis Ababa exceeded both WHO’s and Ethiopia’s ambient air quality standards in 2019. The study estimated the attributable deaths from cardiovascular, ischemic heart disease (IHD), stroke, chronic obstructive pulmonary disease (COPD), and lower respiratory infection (LRI) due to PM 2.5 exposure across 3 reduction scenarios. Additionally, economic benefits associated with avoided deaths were quantified using the Organization for Economic Cooperation and Development (OECD) Value of Statistical Life (VSL) methodology. The finding demonstrated that reducing PM 2.5 pollution levels led to a notable decrease in mortality rates from various health conditions in Addis Ababa. Moreover substantial economic benefits, amounting to millions of dollars, were observed across all health endpoints, indicating significant societal savings. This study underscores the importance of implementing interventions to mitigate PM 2.5 pollution for improved public health and economic well-being in Addis Ababa and similar urban settings. |
| format | Article |
| id | doaj-art-95bfb35120aa4ac4b882e52e9da5cbe1 |
| institution | Kabale University |
| issn | 1178-6302 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Environmental Health Insights |
| spelling | doaj-art-95bfb35120aa4ac4b882e52e9da5cbe12025-01-18T10:03:25ZengSAGE PublishingEnvironmental Health Insights1178-63022025-01-011910.1177/11786302241312061Health and Economic Impact Estimation of Ambient Air Particulate Matter (PM) Pollution in Addis Ababa Using BenMAP-CE ModelMulugeta Getachew0Andualem Mekonnen1Desta Fitsum2Ethiopian Enterprise Development, Addis Ababa, EthiopiaCenter for Environmental Science, College of Natural Science, Addis Ababa University, Addis Ababa, EthiopiaAddis Ababa City Mayor’s Office, Addis Ababa, EthiopiaExposure to ambient air particulate matter (PM 2.5 ) pollution presents a significant public health and economic challenge in Addis Ababa, Ethiopia. This thesis used the Environmental benefits mapping and analysis program-community edition (BenMAP-CE) software tool to estimate health and economic impact of ambient air PM 2.5 pollution. The study evaluated the impact of decreasing the annual average PM 2.5 concentration in 2019 (32.8 µg/m 3 ) to different international and national air quality standards, including World health Organization’s guidelines and the Ethiopian National Ambient Air Quality standard (NAAQS). Results showed that Addis Ababa exceeded both WHO’s and Ethiopia’s ambient air quality standards in 2019. The study estimated the attributable deaths from cardiovascular, ischemic heart disease (IHD), stroke, chronic obstructive pulmonary disease (COPD), and lower respiratory infection (LRI) due to PM 2.5 exposure across 3 reduction scenarios. Additionally, economic benefits associated with avoided deaths were quantified using the Organization for Economic Cooperation and Development (OECD) Value of Statistical Life (VSL) methodology. The finding demonstrated that reducing PM 2.5 pollution levels led to a notable decrease in mortality rates from various health conditions in Addis Ababa. Moreover substantial economic benefits, amounting to millions of dollars, were observed across all health endpoints, indicating significant societal savings. This study underscores the importance of implementing interventions to mitigate PM 2.5 pollution for improved public health and economic well-being in Addis Ababa and similar urban settings.https://doi.org/10.1177/11786302241312061 |
| spellingShingle | Mulugeta Getachew Andualem Mekonnen Desta Fitsum Health and Economic Impact Estimation of Ambient Air Particulate Matter (PM) Pollution in Addis Ababa Using BenMAP-CE Model Environmental Health Insights |
| title | Health and Economic Impact Estimation of Ambient Air Particulate Matter (PM) Pollution in Addis Ababa Using BenMAP-CE Model |
| title_full | Health and Economic Impact Estimation of Ambient Air Particulate Matter (PM) Pollution in Addis Ababa Using BenMAP-CE Model |
| title_fullStr | Health and Economic Impact Estimation of Ambient Air Particulate Matter (PM) Pollution in Addis Ababa Using BenMAP-CE Model |
| title_full_unstemmed | Health and Economic Impact Estimation of Ambient Air Particulate Matter (PM) Pollution in Addis Ababa Using BenMAP-CE Model |
| title_short | Health and Economic Impact Estimation of Ambient Air Particulate Matter (PM) Pollution in Addis Ababa Using BenMAP-CE Model |
| title_sort | health and economic impact estimation of ambient air particulate matter pm pollution in addis ababa using benmap ce model |
| url | https://doi.org/10.1177/11786302241312061 |
| work_keys_str_mv | AT mulugetagetachew healthandeconomicimpactestimationofambientairparticulatematterpmpollutioninaddisababausingbenmapcemodel AT andualemmekonnen healthandeconomicimpactestimationofambientairparticulatematterpmpollutioninaddisababausingbenmapcemodel AT destafitsum healthandeconomicimpactestimationofambientairparticulatematterpmpollutioninaddisababausingbenmapcemodel |