Stratégie d’évaluation des risques servant à la détection précoce et à la prédiction des éclosions de maladies infectieuses associées aux changements climatiques

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DOI

https://doi.org/10.14745/ccdr.v45i05a02f

Language of the publication
French
Date
2019-05-19
Type
Article
Author(s)
  • Rees, E. E.
  • Ng, V.
  • Gachon, P.
  • Mawudeku, A.
  • McKenney, D.
  • Pedlar, J.
  • Yemshanov, D.
  • Parmely, J.
  • Knox, J.
Publisher
Agence de la santé publique du Canada

Abstract

A new generation of surveillance strategies is being developed to help detect emerging infections and to identify the increased risks of infectious disease outbreaks that are expected to occur with climate change. These surveillance strategies include event-based surveillance (EBS) systems and risk modelling. The EBS systems use open-source internet data, such as media reports, official reports, and social media (such as Twitter) to detect evidence of an emerging threat, and can be used in conjunction with conventional surveillance systems to enhance early warning of public health threats. More recently, EBS systems include artificial intelligence applications such machine learning and natural language processing to increase the speed, capacity and accuracy of filtering, classifying and analysing health-related internet data. Risk modelling uses statistical and mathematical methods to assess the severity of disease emergence and spread given factors about the host (e.g. number of reported cases), pathogen (e.g. pathogenicity) and environment (e.g. climate suitability for reservoir populations). The types of data in these models are expanding to include health-related information from open-source internet data and information on mobility patterns of humans and goods. This information is helping to identify susceptible populations and predict the pathways from which infections might spread into new areas and new countries. As a powerful addition to traditional surveillance strategies that identify what has already happened, it is anticipated that EBS systems and risk modelling will increasingly be used to inform public health actions to prevent, detect and mitigate the climate change increases in infectious diseases.

Subject

  • Health

Rights

Pagination

132-140

Peer review

Yes

Open access level

Gold

Article

Journal title
Relevé des maladies transmissibles au Canada (RMTC)
Journal volume
45
Journal issue
5

Citation(s)

Rees EE, Ng V, Gachon P, Mawudeku A, McKenney D, Pedlar J, Yemshanov D, Parmely J, Knox J. Stratégie d’évaluation des risques servant à la détection précoce et à la prédiction des éclosions de maladies infectieuses associées aux changements climatiques. Relevé des maladies transmissibles au Canada 2019;45(5):132–40. https://doi.org/10.14745/ccdr.v45i05a02f

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Collection(s)

Public health surveillance

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