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Peer-reviewed veterinary case report

A quantitative approach to the prioritization of zoonotic diseases in North America: a health professionals' perspective.

Journal:
PloS one
Year:
2013
Authors:
Ng, Victoria & Sargeant, Jan M
Affiliation:
Department of Population Medicine · Canada

Plain-English summary

This research looked at how health professionals in North America prioritize diseases that can spread between animals and humans, known as zoonoses. The study involved over 1,400 participants from Canada and the US who completed an online survey about the importance of different characteristics of these diseases. The researchers used a method called conjoint analysis to score and rank 62 zoonotic diseases based on the feedback from these health professionals. The findings indicate that professionals with some knowledge of infectious diseases were able to provide more consistent and meaningful results compared to the general public. Overall, the study suggests that this method can be a useful way to identify which zoonotic diseases should be prioritized for public health efforts.

Abstract

BACKGROUND: Currently, zoonoses account for 58% to 61% of all communicable diseases causing illness in humans globally and up to 75% of emerging human pathogens. Although the impact of zoonoses on animal health and public health in North America is significant, there has been no published research involving health professionals on the prioritization of zoonoses in this region. METHODOLOGY/PRINCIPAL FINDINGS: We used conjoint analysis (CA), a well-established quantitative method in market research, to identify the relative importance of 21 key characteristics of zoonotic diseases for their prioritization in Canada and the US. Relative importance weights from the CA were used to develop a point-scoring system to derive a recommended list of zoonoses for prioritization in Canada and the US. Study participants with a background in epidemiology, public health, medical sciences, veterinary sciences and infectious disease research were recruited to complete the online survey (707 from Canada and 764 from the US). Hierarchical Bayes models were fitted to the survey data to derive CA-weighted scores for disease criteria. Scores were applied to 62 zoonotic diseases to rank diseases in order of priority. CONCLUSIONS/SIGNIFICANCE: We present the first zoonoses prioritization exercise involving health professionals in North America. Our previous study indicated individuals with no prior knowledge in infectious diseases were capable of producing meaningful results with acceptable model fits (79.4%). This study suggests health professionals with some knowledge in infectious diseases were capable of producing meaningful results with better-fitted models than the general public (83.7% and 84.2%). Despite more similarities in demographics and model fit between the combined public and combined professional groups, there was more uniformity across priority lists between the Canadian public and Canadian professionals and between the US public and US professionals. Our study suggests that CA can be used as a potential tool for the prioritization of zoonoses.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/23991057/