Developing an evaluation framework for public health environmental surveillance: Protocol for an international, multidisciplinary Delphi consensus study

The Delphi consensus study will provide multidisciplinary and multinational consensus for the evaluation framework, by providing a set of minimum criteria required for the evaluation of public health environmental surveillance systems. The evaluation framework is intended to support the sustainability of environmental surveillance and improve its implementation, reliability, credibility, and value.

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Publication Details

Journal
PLoS ONE
Published
2025-05-27
DOI
https://doi.org/10.1371/journal.pone.0310342
Primary Topic
Delphi Technique in Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Developing an evaluation framework for public health environmental surveillance: Protocol for an international, multidisciplinary Delphi consensus study

Matthew J. Wade, Carol Bennett, David L. Buckeridge, Douglas G. Manuel et al.
PLoS ONE
Delphi Technique in Research
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Developing an evaluation framework for public health environmental surveillance: Protocol for an international, multidisciplinary Delphi consensus study

Matthew J. Wade, Carol Bennett, David L. Buckeridge, Douglas G. Manuel, Farah Ishtiaq, Yoni Freedhoff, David Moher, Sarah Funnell, Emma Brown
article en

Abstract

The Delphi consensus study will provide multidisciplinary and multinational consensus for the evaluation framework, by providing a set of minimum criteria required for the evaluation of public health environmental surveillance systems. The evaluation framework is intended to support the sustainability of environmental surveillance and improve its implementation, reliability, credibility, and value.

PLoS ONEVol. 20(5)
National Security Agency (US), University of Ottawa (CA), Queen's University (CA), Ottawa Hospital (CA), Bruyère (CA), Tata Institute for Genetics and Society (IN), Ottawa Hospital Research Institute (CA), McGill University (CA), Newcastle University (GB)
Health Canada, Canadian Institutes of Health Research
Openalex Percentile: Top 85%
Delphi Technique in Research
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