2015
DOI: 10.1016/j.prevetmed.2015.05.006
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Use of a modified Delphi panel to identify and weight criteria for prioritization of zoonotic diseases in Switzerland

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Cited by 26 publications
(20 citation statements)
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“…Considerable resources were also expended to create a committee with the diverse range of expertise required, with experts from microbiology and virology, clinical management of severe infections, epidemiology and outbreak investigation and response, public health policy, animal health, mathematical modeling of disease, environmental and social science, nongovernmental organizations, and the security sector. This diversity is consistent with and exceeds the range of participants found in other studies, allowing for some variation based on their specific purposes (8,9,11,13,26,30). Ensuring that future reviews also have a sufficient range of expertise will be important.…”
Section: Discussionsupporting
confidence: 76%
“…Considerable resources were also expended to create a committee with the diverse range of expertise required, with experts from microbiology and virology, clinical management of severe infections, epidemiology and outbreak investigation and response, public health policy, animal health, mathematical modeling of disease, environmental and social science, nongovernmental organizations, and the security sector. This diversity is consistent with and exceeds the range of participants found in other studies, allowing for some variation based on their specific purposes (8,9,11,13,26,30). Ensuring that future reviews also have a sufficient range of expertise will be important.…”
Section: Discussionsupporting
confidence: 76%
“…Several approaches to prioritization of diseases using either qualitative, semi-quantitative or quantitative techniques have been developed [7]. Quantitative methods are best applied where empirical data such as disease burden and socio-economic impact exist, and where there are effective surveillance systems [8][9][10]. Semi-quantitative and qualitative methods are used where data necessary for prioritization is either insufficient or not available [7,9].…”
Section: Introductionmentioning
confidence: 99%
“…This emphasized the need for decision‐makers to carefully balance resources towards diseases that are causing immediate losses but are likely to have less severe consequences, versus diseases that have the potential to have drastic economic and social impact but are not yet a direct threat. While it is a challenging goal, the benefit provided by an overarching system that includes both endemic and non‐endemic risk organisms is evident (DISCONTOOLS Project, ; Gibbens, Frost, Houston, Lester, & Gauntlett, ; van der Giessen et al., ; Havelaar et al., ; Stebler, Schuepbach‐Regula, Braam, & Falzon, ).…”
Section: Discussionmentioning
confidence: 99%