Health

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 Interactive Atlas on Health Inequalities (IAHI)

IAHI_tubnailBtn_Demo_EN

The Interactive Atlas on Health Inequalities (IAHI) is an online, easy-to-use, health information system that allows users concerned with health resource allocation and planning to interact with aggregated health information for various spatial and population units of analysis and to produce tables, graphs and maps almost instantly using Map4Web.

The IAHI was developed by the PRIMUS research group, directed by Pr Alain Vanasse, full professor at the Faculty of Medicine and Health Sciences, Université de Sherbrooke. The development of the IAHI has been funded by the GEOIDE Network, the Canadian Institutes of Health Research (CIHR), the Fonds de recherche du Québec – Santé (FRQS), and by private partners (Merck Frosst Canada, K2 Geospatial, the “Prends soin de toi” Program of AstraZeneca Canada and Pfizer Canada).

Mapping of foodborne illness in Canada (MFI project)

(collaborative project within the Convergence Network)
foodborne illness

The objective of the MFI project is the development of an analysis application to produce regional maps showing the occurrence of various foodborne diseases of importance, such as campylobacter, in Canada to allow for better planning of prevention programs and for supporting the decision making processes in this subject area.

Keywords: foodborne disease, public health, mapping, decision making, Canada

A spatial BI application to monitor climate change and its impacts on populations’ health

(collaborative project within the GEOIDE Network)

 

While global warming is becoming a reality, scientists all around the world are trying to better understand its impacts on society and on populations’ health. This understanding requires the analysis of a variety of factors of different nature (psychological, biological, social, cultural, economic and environmental). In order to facilitate such an analysis, Map4Decision has been used to analyze spatio-temporal indicators designed to monitor local impacts of climate change on public health. More than fifteen data sources have been integrated in order to provide cross analyses of different themes (chronic diseases, heat waves, demographic statistics, etc.).

The application is used to answer questions such as:

  • What is the distribution of the population over 60 years of age, with respiratory diseases, and living in urban heat islands, for each city?
  • What is the number of students in schools without air-conditioning, for each administrative region?
  • What is the projected spatio-temporal evolution of heat waves over the next 50 years?

Additionnal information:

Cet article est également disponible en : French

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