The ENHanCE project: A large scale risk assessment of the most likely human and animal pathogens to be affected by climate change

McIntyre K. Marie, Setzkorn Christian, Hepworth Philip J., Morand Serge, Baylis Matthew. 2012. The ENHanCE project: A large scale risk assessment of the most likely human and animal pathogens to be affected by climate change. In : 13th International Symposium on Veterinary Epidemiology and Economics : Book of abstracts. ISVEE. Wageningen : Wageningen Academic Publishers, Résumé, 134. International Symposium on Veterinary Epidemiology and Economics. 13, Maastricht, Pays-Bas, 20 Août 2012/24 Août 2012.

Résumé : Climate change is considered a major threat to human health and well-being, with increasing evidence of it impacting infectious diseases. But how large is this threat? Will many diseases respond to climate change or only a few? Is it possible that the most significant diseases in health or economic terms could be resilient to climate change, such that its overall influence on our health and well-being could be of relatively minor importance? Within the ENHanCE project we have developed an easily repeatable, bottom-up approach which allows the examination of many pathogens using multiple steps, enabling us to answer some of these questions. Within the project, we have built a database, the open access ENHanCED Infectious Diseases (EID2) database, with which we first identified the main pathogens of man, domestic and companion animals. Second, a proxy for the impact of each pathogen upon man was then developed to ascertain those of the greatest importance to us. Automated literature searches of pathogen names and climate driver terms were then implemented to establish scientific literature which potentially contained evidence of the climate drivers of disease. It was thereafter necessary to examine the literature, for a short list of the pathogens with the highest 'impact', to verify the actual evidence of the effects of climate upon each pathogen. This was undertaken, finally, using a critical review tool which grades the quality of the data based on a number of factors including: the journals in which papers were published; whether they describe field or laboratory studies, analysis of collated data or review articles; and the significance of any statistical support for climate and pathogen associations. This presentation will demonstrate our methodologies, and present the main findings of our full bottom up assessment. (Texte intégral)

Classification Agris : L73 - Maladies des animaux
P40 - Météorologie et climatologie
L70 - Sciences et hygiène vétérinaires - Considérations générales
S50 - Santé humaine

Auteurs et affiliations

• McIntyre K. Marie, University of Liverpool (GBR)
• Setzkorn Christian, University of Liverpool (GBR)
• Hepworth Philip J., University of Liverpool (GBR)
• Morand Serge, CIRAD-ES-UPR AGIRs (FRA) ORCID: 0000-0003-3986-7659
• Baylis Matthew, University of Liverpool (GBR)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/567705/)

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