Environmental Modeling and Methods for Estimation of the Global Health Impacts of Air Pollution |
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Authors: | Shilpa Rao Vadim Chirkov Frank Dentener Rita Van Dingenen Shonali Pachauri Pallav Purohit Markus Amann Chris Heyes Patrick Kinney Peter Kolp Zbigniew Klimont Keywan Riahi Wolfgang Schoepp |
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Affiliation: | 1. International Institute for Applied Systems Analysis, Laxenburg, Austria 2. European Commission; Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy 3. Environmental Health Sciences, Mailman School of Public Health, and The Earth Institute, Columbia University, New York, USA
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Abstract: | Air pollution is increasingly recognized as a significant contributor to global health outcomes. A methodological framework for evaluating the global health-related outcomes of outdoor and indoor (household) air pollution is presented and validated for the year 2005. Ambient concentrations of PM2.5 are estimated with a combination of energy and atmospheric models, with detailed representation of urban and rural spatial exposures. Populations dependent on solid fuels are established with household survey data. Health impacts for outdoor and household air pollution are independently calculated using the fractions of disease that can be attributed to ambient air pollution exposure and solid fuel use. Estimated ambient pollution concentrations indicate that more than 80% of the population exceeds the WHO Air Quality Guidelines in 2005. In addition, 3.26?billion people were found to use solid fuel for cooking in three regions of Sub Saharan Africa, South Asia and Pacific Asia in 2005. Outdoor air pollution results in 2.7?million deaths or 23?million disability adjusted life years (DALYs) while household air pollution from solid fuel use and related indoor smoke results in 2.1?million deaths or 41.6?million DALYs. The higher morbidity from household air pollution can be attributed to children below the age of 5 in Sub Saharan Africa and South Asia. The burden of disease from air pollution is found to be significant, thus indicating the importance of policy interventions. |
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