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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
Capítulos
- 00:05Introduction
- 01:50Filter Conditioning and Weighing
- 02:26Microenvironment/Personal Air Sampling
- 03:04Particulate Matter (PM2.5) Measurement
- 04:11Black Carbon (BC) Measurement
- 04:58Carbon Monoxide (CO) Measurement
- 05:42Time Location Logger (TLL) and Time Location Monitor (TLM)
- 06:17Stove Use Monitoring and Ambient Monitoring
- 07:18Samples for Biomonitoring
- 08:04Results: Validation of the Data Collection Procedures
- 08:42Conclusion
Descriviamo in dettaglio le procedure coerenti e di alta qualità utilizzate durante i processi di campionamento dell'aria e biologici nei siti di campo indiani durante un ampio studio controllato randomizzato. Le conoscenze raccolte dalla supervisione delle applicazioni di tecnologie innovative, adattate per la valutazione dell'esposizione nelle regioni rurali, consentono migliori pratiche di raccolta dei dati sul campo con risultati più affidabili.
