Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia
In 2016, the World Health Organization (WHO) estimated that approximately 4.2 million premature deaths worldwide were attributable to exposure to particulate matter 2.5 mu m (PM2.5). This study assessed the environmental burden of disease attributable to PM2.5 at the national level in Malaysia. We e...
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my.um.eprints.385322023-07-10T03:50:47Z http://eprints.um.edu.my/38532/ Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia Mazeli, Mohamad Iqbal Pahrol, Muhammad Alfatih Shakor, Ameerah Su'ad Abdul Kanniah, Kasturi Devi Omar, Mohd Azahadi GE Environmental Sciences R Medicine (General) In 2016, the World Health Organization (WHO) estimated that approximately 4.2 million premature deaths worldwide were attributable to exposure to particulate matter 2.5 mu m (PM2.5). This study assessed the environmental burden of disease attributable to PM2.5 at the national level in Malaysia. We estimated the population-weighted exposure level (PWEL) of PM10 concentrations in Malaysia for 2000, 2008, and 2013 using aerosol optical density (AOD) data from publicly available remote sensing satellite data (MODIS Terra). The PWEL was then converted to PM2.5 using Malaysia's WHO ambient air conversion factor. We used AirQ+ 2.0 software to calculate all-cause (natural), ischemic heart disease (IHD), stroke, chronic obstructive pulmonary disease (COPD), lung cancer (LC), and acute lower respiratory infection (ALRI) excess deaths from the National Burden of Disease data for 2000, 2008 and 2013. The average PWELs for annual PM2.5 for 2000, 2008, and 2013 were 22 mu g m-3, 18 mu g m-3 and 24 mu g m-3, respectively. Using the WHO 2005 Air Quality Guideline cut-off point of PM2.5 of 10 mu g m-3, the estimated excess deaths for 2000, 2008, and 2013 from all-cause (natural) mortality were between 5893 and 9781 (95 a/o CI: 3347-12,791), COPD was between 164 and 957 (95 a/o CI: 95-1411), lung cancer was between 109 and 307 (95 a/o CI: 63-437), IHD was between 3 and 163 deaths, according to age groups (95 % CI: 2-394) and stroke was between 6 and 155 deaths, according to age groups (95 % CI: 3-261). An increase in estimated health endpoints was associated with increased estimated PWEL PM2.5 for 2013 compared to 2000 and 2008. Adhering the ambient PM2.5 level to the Malaysian Air Quality Standard IT-2 would reduce the national health endpoints mortality. Elsevier 2023-05 Article PeerReviewed Mazeli, Mohamad Iqbal and Pahrol, Muhammad Alfatih and Shakor, Ameerah Su'ad Abdul and Kanniah, Kasturi Devi and Omar, Mohd Azahadi (2023) Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia. Science of the Total Environment, 874. ISSN 0048-9697, DOI https://doi.org/10.1016/j.scitotenv.2023.162130 <https://doi.org/10.1016/j.scitotenv.2023.162130>. 10.1016/j.scitotenv.2023.162130 |
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GE Environmental Sciences R Medicine (General) Mazeli, Mohamad Iqbal Pahrol, Muhammad Alfatih Shakor, Ameerah Su'ad Abdul Kanniah, Kasturi Devi Omar, Mohd Azahadi Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia |
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In 2016, the World Health Organization (WHO) estimated that approximately 4.2 million premature deaths worldwide were attributable to exposure to particulate matter 2.5 mu m (PM2.5). This study assessed the environmental burden of disease attributable to PM2.5 at the national level in Malaysia. We estimated the population-weighted exposure level (PWEL) of PM10 concentrations in Malaysia for 2000, 2008, and 2013 using aerosol optical density (AOD) data from publicly available remote sensing satellite data (MODIS Terra). The PWEL was then converted to PM2.5 using Malaysia's WHO ambient air conversion factor. We used AirQ+ 2.0 software to calculate all-cause (natural), ischemic heart disease (IHD), stroke, chronic obstructive pulmonary disease (COPD), lung cancer (LC), and acute lower respiratory infection (ALRI) excess deaths from the National Burden of Disease data for 2000, 2008 and 2013. The average PWELs for annual PM2.5 for 2000, 2008, and 2013 were 22 mu g m-3, 18 mu g m-3 and 24 mu g m-3, respectively. Using the WHO 2005 Air Quality Guideline cut-off point of PM2.5 of 10 mu g m-3, the estimated excess deaths for 2000, 2008, and 2013 from all-cause (natural) mortality were between 5893 and 9781 (95 a/o CI: 3347-12,791), COPD was between 164 and 957 (95 a/o CI: 95-1411), lung cancer was between 109 and 307 (95 a/o CI: 63-437), IHD was between 3 and 163 deaths, according to age groups (95 % CI: 2-394) and stroke was between 6 and 155 deaths, according to age groups (95 % CI: 3-261). An increase in estimated health endpoints was associated with increased estimated PWEL PM2.5 for 2013 compared to 2000 and 2008. Adhering the ambient PM2.5 level to the Malaysian Air Quality Standard IT-2 would reduce the national health endpoints mortality. |
format |
Article |
author |
Mazeli, Mohamad Iqbal Pahrol, Muhammad Alfatih Shakor, Ameerah Su'ad Abdul Kanniah, Kasturi Devi Omar, Mohd Azahadi |
author_facet |
Mazeli, Mohamad Iqbal Pahrol, Muhammad Alfatih Shakor, Ameerah Su'ad Abdul Kanniah, Kasturi Devi Omar, Mohd Azahadi |
author_sort |
Mazeli, Mohamad Iqbal |
title |
Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia |
title_short |
Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia |
title_full |
Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia |
title_fullStr |
Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia |
title_full_unstemmed |
Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia |
title_sort |
cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in malaysia |
publisher |
Elsevier |
publishDate |
2023 |
url |
http://eprints.um.edu.my/38532/ |
_version_ |
1772811754419519488 |