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Aedes aegypti and Ae. albopictus, are known vectors of more than 20 arboviruses of global public health significance. With climate change, both species are predicted to expand their habitat range. We applied a machine learning approach to assess the current environmental suitability and probable distribution of the Aedes species in Canada and the United States.
A large proportion of North America appears to be suitable for the Aedes vectors, including parts of Ontario. Targeted surveillance for the vectors in the high-risk regions enables us to effectively use public health resources. This session focuses on identifying the association between the environmental, climatic, and anthropogenic factors that may impact disease vector niche and how these predicted niche could contribute towards efficient use of public health resources through targeted vector surveillance.
By the end of this session, participants will be able to:
- Describe how environmental, climatic, and anthropogenic factors may affect disease vector distribution;
- Identify the value of predicted vector distribution and its contribution towards targeted surveillance and efficient public health resource utilization.
Presenter: Salah Uddin Khan
Salah Uddin Khan is currently a Canadian Institutes of Health Research Health System Impact Fellow, jointly placed at the National Microbiology Laboratory, Public Health Agency of Canada and the University of Guelph, working on modeling vector-borne and zoonotic diseases.
Dr. Khan’s research program is focused on understanding the epidemiology of infectious diseases of One Health significance, the interactions between pathogen, host and the environment and the design and evaluation of One Health interventions. He has completed a PhD in Public Health from the University of Florida with a focus on One Health research approaches and their application.
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