We are very pleased to invite you to our next Tuesday seminar of Seminar series in Statistics and Data Science

Speaker:  Knut Dagestad Rand, Researcher at HISP, Department of Informatics, University of Oslo

Title: Bayesian Time Series Modelling of Climate-Health Data

When? Tuesday 23.04.2024, 14:15-15:15

Where?  Erling Svedrups plass and Zoom 
https://uio.zoom.us/j/66618660796?pwd=bVVOenVLeDFPT25LZ3RLdnRQaC9udz09 

Abstract: 
Climate and weather can affect disease prevalence in different ways. For instance, humidity and temperature affect the life cycles of mosquitos which can greatly influence the prevalence of vector-borne diseases like malaria and dengue. Modelling this relationship is very important, both in the short term for outbreak preparedness, and in the long term, for health systems to adapt to the changing climate. However, this modelling is difficult because of low amounts of quality health data, complexities in spatial-temporal modelling, and the many different domains (vector biology, climate, epidemiology).
In this talk I will present our work on building a framework both for developing modularized and adaptable climate-health models, and for rigorously evaluating the utility of these models.

Welcome!
Best regards,
Sven Ove Samuelsen & Aliaksandr Hubin