Closing the gender science and statistical research gap in sports medicine: The case of FC Barcelona, the current women European Champion league winner
The importance of data visualization for a better interpretation of the results: application to a multinomial analysis of the positivity of different biomarkers on the risk of oropharyngeal cancer
Chairperson: Guadalupe Gomez, Universitat Politecnica de Catalunya (Spain)
Title: Modeling the COVID-19 epidemic in Belgium to inform policy makers
Abstract:
Belgium has been hit particularly hard by the coronavirus placing the country near the top in international rankings when looking at the number of confirmed cases per 100,000 and the number of deaths per million. Belgium accounted for more than half a million confirmed cases and over 17,000 SARS-CoV-2 confirmed and suspected deaths in 2020. Belgium’s location at the centre of Europe, high international mobility, high population density, high average household size and an older population structure combined with a relatively high mixing behaviour increases transmission potential. Short-term predictions were used to help local and national governments in decision-making on interventions during the outbreak and preserving the hospital capacity. Information on local mobility, absenteeism, testing strategy and GP consultations are used in the prediction model, using distributed lag non-linear models. Spatio-temporal trends are tracked to raise alarms when growth rate in hospitalizations and cases change. Mathematical modelling was used to inform policy makers on the possible impact of restriction measures. Some highlights of the modelling exercises will be presented.