April, 2021

202107Apr2:00 PM3:00 PMEnvironmental-Health Warning Systems, the Case of Cold for Quebec2:00 PM - 3:00 PM ET Region:OnlineTopic:Climate ChangeCost:No CostCountry:CanadaConfidence:High TagsCanada,Free,online,Registration


Fateh Chebana, Institut National de la Recherche Scientifique

NOAA National Weather Service, Environment and Climate Change Canada

Seminar Contact: michelle.hawkins@noaa.gov, kimberly.mcmahon@noaa.gov

Remote Access:
Please register here: https://attendee.gotowebinar.com/register/866620085105683983
After registering, you will receive a confirmation email containing information about joining the webinar.

For several years, the effects of climate and the environment on human health have been increasingly observed in several geographic regions through certain health outcomes (mortality, hospitalization). In a prevention perspective, warning systems are implemented by the public health authorities to intervene during episodes of extreme environmental events. In Quebec, the SUPREME system (Surveillance and Prevention of the Impacts of Extreme Meteorological Events on Public Health System) has been used for a decade. SUPREMME is a source of information that affords regional and departmental interveners in the public health network access, at a single site through a secure portal, to health and meteorological information concerning the health impacts of extreme weather events.

On the other hand, “health” alerts are only about heat and all-cause mortality, as well as with basic statistical approaches in general. It is therefore important to adapt to the specific health impacts that may be linked to other extremes such as extreme cold or air pollution, using appropriate methodologies (statistics and machine learning). In this talk, we focus on cold-mortality/hospitalisation system in Quebec and we briefly present a number of methodological developments and perspectives.

Fateh Chebana is a professor at Institut National de la Recherche Scientifique (INRS) and he has a PhD in Statistics from University of Paris. His main research focuses on statistical hydrology as well as environmental health with statistical approaches. In particular, he is interested in hydrological risk assessment with advanced approaches and more complex situations, as well as in developing environmental health-warning systems based on recent machine learning techniques.

Recordings: A recording of this presentation will be available on the National Weather Service YouTube channel. Please check https://www.youtube.com/user/usweathergov for updates.


Wednesday, April 7 - 2:00pm 2021 - Wednesday, April 7 - 3:00pm 2021

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