Intervention Protocol

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Interventions to reduce ambient particulate matter air pollution and their effect on health

  1. Jacob Burns1,
  2. Hanna Boogaard2,
  3. Ruth Turley3,
  4. Lisa M Pfadenhauer1,
  5. Annemoon M van Erp2,
  6. Anke C Rohwer4,
  7. Eva Rehfuess1,*

Editorial Group: Cochrane Public Health Group

Published Online: 15 JAN 2014

DOI: 10.1002/14651858.CD010919


How to Cite

Burns J, Boogaard H, Turley R, Pfadenhauer LM, van Erp AM, Rohwer AC, Rehfuess E. Interventions to reduce ambient particulate matter air pollution and their effect on health (Protocol). Cochrane Database of Systematic Reviews 2014, Issue 1. Art. No.: CD010919. DOI: 10.1002/14651858.CD010919.

Author Information

  1. 1

    Ludwig-Maximilians-University Munich, Institute for Medical Informatics, Biometry and Epidemiology, Munich, Bavaria, Germany

  2. 2

    Health Effects Institute, Boston, MA, USA

  3. 3

    Information Services, Cardiff University, Support Unit for Research Evidence (SURE), Cardiff, Wales, UK

  4. 4

    Stellenbosch University, Centre for Evidence-based Health Care, Faculty of Medicine and Health Sciences, Cape Town, South Africa

*Eva Rehfuess, Institute for Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-University Munich, Marchioninistr. 15, Munich, Bavaria, Germany. rehfuess@ibe.med.uni-muenchen.de.

Publication History

  1. Publication Status: New
  2. Published Online: 15 JAN 2014

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[Figure 1]
Figure 1. Possible pathways linking ambient PM and cardiopulmonary health outcomes (Pope 2006).
[Figure 2]
Figure 2. Outcomes Evaluation Cycle: Each box represents a link between regulatory action and human health response to air pollution. Arrows connecting the links indicate possible directions of influence. Text below the arrows identifies general indices of accountability at that stage. At several stages, knowledge gained from accountability assessment can provide valuable feedback for improving regulatory or other action. (Reproduced with permission from HEI 2003.)
[Figure 3]
Figure 3. System-based logic model showing multiple components for the system containing ambient PM interventions and their possible effects on air quality and human health.