Browsing by Author "Mohd Faiz Ibrahim"

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    Children's exposure to air pollution in a natural gas industrial area and their risk of hospital admission for respiratory diseases
    (Elsevier, 2022) Mohd Faiz Ibrahim; Rozita Hod; Muhammad Abdul Basit Ahmad Tajudin; Wan Rozita Wan Mahiyuddin; Azmawati Mohammed Nawi; Mazrura Sahani
    This study aimed to explore the relationship between short-term exposure to air pollution and hospital admissions for respiratory diseases among children in a natural gas industrial area in Bintulu, Malaysia. Daily hospital admissions for respiratory diseases among children were collected from a hospital in Bintulu from 2010 to 2019. Data on six air pollutants (PM10, PM2.5, SO2, NO2, O3, and CO) in the study area were obtained from the Department of Environment Malaysia.
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    Health impacts from TRAPs and carbon emissions in the projected electric vehicle growth and energy generation mix scenarios in Malaysia
    (Elsevier, 2023) Soo Chen Kwan; Sazalina binti Zakaria; Mohd Faiz Ibrahim; Wan Rozita Wan Mahiyuddin; Nurzawani Md Sofwan; Muhammad Ikram A Wahab; Radin Diana R. Ahmad; Ahmad Rosly Abbas; Wei Kian Woon; Mazrura Sahani
    Road transport contributes over 70% of air pollution in urban areas and is the second largest contributor to the total carbon dioxide emissions in Malaysia at 21% in 2016. Transport related air pollutants (TRAPs) such as NOx, SO2, CO and particulate matter (PM) pose significant threats to the urban population’s health. Malaysia has targeted to deploy 885,000 EV cars on the road by 2030 in the Low Carbon Mobility Blueprint (LCMB). This study aims to quantify the health co-benefits of electric vehicle adoption from their impacts on air quality in Malaysia. Two EV uptake projections, i.e. LCMB and Revised EV Adoption (REVA) projections, and five electricity generation mix scenarios were modelled up to 2040. We used comparative health risk assessment to estimate the potential changes in mortality and burden of diseases (BoD) from the emissions in each scenario. Intake fractions and exposure-risk functions were used to calculate the burden from respiratory diseases