作者
Kalpana Balakrishnan, Sagnik Dey, Tarun Gupta, RS Dhaliwal, Michael Brauer, Aaron J Cohen, Jeffrey D Stanaway, Gufran Beig, Tushar K Joshi, Ashutosh N Aggarwal, Yogesh Sabde, Harsiddha Sadhu, Joseph Frostad, Kate Causey, William Godwin, DK Shukla, G Anil Kumar, Chris M Varghese, Pallavi Muraleedharan, Anurag Agrawal, RM Anjana, Anil Bhansali, Deeksha Bhardwaj, Katrin Burkart, Kelly Cercy, Joy K Chakma, Sourangsu Chowdhury, DJ Christopher, Eliza Dutta, Melissa Furtado, Santu Ghosh, Aloke G Ghoshal, Scott D Glenn, Randeep Guleria, Rajeev Gupta, Panniyammakal Jeemon, Rajni Kant, Surya Kant, Tanvir Kaur, Parvaiz A Koul, Varsha Krish, Bhargav Krishna, Samantha L Larson, Kishore Madhipatla, PA Mahesh, Viswanathan Mohan, Satinath Mukhopadhyay, Parul Mutreja, Nitish Naik, Sanjeev Nair, Grant Nguyen, Christopher M Odell, Jeyaraj D Pandian, Dorairaj Prabhakaran, Poornima Prabhakaran, Ambuj Roy, Sundeep Salvi, Sankar Sambandam, Deepika Saraf, Meenakshi Sharma, Aakash Shrivastava, Virendra Singh, Nikhil Tandon, Nihal J Thomas, Anna Torre, Denis Xavier, Geetika Yadav, Sujeet Singh, Chander Shekhar, Theo Vos, Rakhi Dandona, K Srinath Reddy, Stephen S Lim, Christopher JL Murray, S Venkatesh, Lalit Dandona
发表日期
2019/1/1
期刊
The Lancet Planetary Health
卷号
3
期号
1
页码范围
e26-e39
出版商
Elsevier
简介
Background
Air pollution is a major planetary health risk, with India estimated to have some of the worst levels globally. To inform action at subnational levels in India, we estimated the exposure to air pollution and its impact on deaths, disease burden, and life expectancy in every state of India in 2017.
Methods
We estimated exposure to air pollution, including ambient particulate matter pollution, defined as the annual average gridded concentration of PM2.5, and household air pollution, defined as percentage of households using solid cooking fuels and the corresponding exposure to PM2.5, across the states of India using accessible data from multiple sources as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017. The states were categorised into three Socio-demographic Index (SDI) levels as calculated by GBD 2017 on the basis of lag-distributed per-capita income, mean education …
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