JoVE Journal
Environment
Environment
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可视化印度家庭空气污染干预网络试验的暴露和生物标志物评估的现场数据收集程序
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Article
DOI:
10.3791/64144-v
•
09:33 min
•
December 23rd, 2022
可视化印度家庭空气污染干预网络试验的暴露和生物标志物评估的现场数据收集程序
December 23rd, 2022
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Karthikeyan D. Rajamani1, Sankar Sambandam1, Krishnendu Mukhopadhyay1, Naveen Puttaswamy1, Gurusamy Thangavel1, Durairaj Natesan1, Rengaraj Ramasamy1, Saritha Sendhil1, Amudha Natarajan1, Vigneswari Aravindalochan1, Ajay Pillarisetti2, Michael Johnson3, Joshua Rosenthal*4, Kyle Steenland5, Ricardo Piedhrahita3, Jennifer Peel6, Maggie L. Clark6, Dana Boyd Barr5, Sarah Rajkumar6, Bonnie Young6, Shirin Jabbarzadeh7, Ghislaine Rosa8, Miles Kirby9, Lindsay J. Underhill10, Anaite Diaz-Artiga11, Amy Lovvorn5, William Checkley12, Thomas Clasen5, Kalpana Balakrishnan1
1Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research (Deemed University), 2Division of Environmental Health Sciences, University of California, Berkeley, 3Berkeley Air Monitoring Group, 4Division of International Epidemiology and Population Studies, National Institutes of Health, 5Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 6Department of Environmental and Radiological Health Sciences, Colorado State University, 7Department of Biostatistics and Informatics, Rollins School of Public Health, Emory University, 8Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, 9Department of Global Health & Population, Harvard, T.H. Chan School of Public Health, 10Cardiovascular Division, Washington University School of Medicine, Washington University, 11Centro de Estudios en Salud, Universidad del Valle de Guatemala, 12Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University
* These authors contributed equally
Capitoli
Riepilogo
Please note that all translations are automatically generated.
Click here for the English version.
在一项大型随机对照试验中,我们详细介绍了印度野外现场的空气和生物采样过程中使用的一致、高质量的程序。从对创新技术应用的监督中收集的见解,适用于农村地区的暴露评估,使更好的现场数据收集做法和更可靠的结果成为可能。