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DYNAMO-HIA–A Dynamic Modeling Tool for Generic Health Impact Assessments

Overview of attention for article published in PLOS ONE, May 2012
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Title
DYNAMO-HIA–A Dynamic Modeling Tool for Generic Health Impact Assessments
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0033317
Pubmed ID
Authors

Stefan K. Lhachimi, Wilma J. Nusselder, Henriette A. Smit, Pieter van Baal, Paolo Baili, Kathleen Bennett, Esteve Fernández, Margarete C. Kulik, Tim Lobstein, Joceline Pomerleau, Johan P. Mackenbach, Hendriek C. Boshuizen

Abstract

Currently, no standard tool is publicly available that allows researchers or policy-makers to quantify the impact of policies using epidemiological evidence within the causal framework of Health Impact Assessment (HIA). A standard tool should comply with three technical criteria (real-life population, dynamic projection, explicit risk-factor states) and three usability criteria (modest data requirements, rich model output, generally accessible) to be useful in the applied setting of HIA. With DYNAMO-HIA (Dynamic Modeling for Health Impact Assessment), we introduce such a generic software tool specifically designed to facilitate quantification in the assessment of the health impacts of policies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
India 1 <1%
Unknown 122 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 21%
Student > Ph. D. Student 20 16%
Student > Master 15 12%
Other 9 7%
Student > Doctoral Student 6 5%
Other 19 15%
Unknown 30 24%
Readers by discipline Count As %
Medicine and Dentistry 34 27%
Environmental Science 8 6%
Economics, Econometrics and Finance 8 6%
Engineering 7 6%
Psychology 6 5%
Other 32 26%
Unknown 30 24%