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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Mendeley readers
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% |