Title |
Multi-criteria decision analysis as an innovative approach to managing zoonoses: results from a study on Lyme disease in Canada
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Published in |
BMC Public Health, September 2013
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DOI | 10.1186/1471-2458-13-897 |
Pubmed ID | |
Authors |
Cécile Aenishaenslin, Valérie Hongoh, Hassane Djibrilla Cissé, Anne Gatewood Hoen, Karim Samoura, Pascal Michel, Jean-Philippe Waaub, Denise Bélanger |
Abstract |
Zoonoses are a growing international threat interacting at the human-animal-environment interface and call for transdisciplinary and multi-sectoral approaches in order to achieve effective disease management. The recent emergence of Lyme disease in Quebec, Canada is a good example of a complex health issue for which the public health sector must find protective interventions. Traditional preventive and control interventions can have important environmental, social and economic impacts and as a result, decision-making requires a systems approach capable of integrating these multiple aspects of interventions. This paper presents the results from a study of a multi-criteria decision analysis (MCDA) approach for the management of Lyme disease in Quebec, Canada. MCDA methods allow a comparison of interventions or alternatives based on multiple criteria. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Canada | 1 | <1% |
Unknown | 179 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 33 | 18% |
Student > Master | 28 | 15% |
Student > Ph. D. Student | 20 | 11% |
Student > Bachelor | 18 | 10% |
Student > Doctoral Student | 10 | 5% |
Other | 35 | 19% |
Unknown | 38 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 16% |
Agricultural and Biological Sciences | 28 | 15% |
Social Sciences | 12 | 7% |
Veterinary Science and Veterinary Medicine | 11 | 6% |
Environmental Science | 9 | 5% |
Other | 46 | 25% |
Unknown | 47 | 26% |