The COVID-19 pandemic showed that viral (mis)information about the outbreak can spread as easily as the virus itself. Such an ‘infodemic’ can influence people’s attitude and behavior regarding the prevention and transmission of infectious diseases. To prepare for the next pandemic, this study aims to increase our understanding of the relationship between infodemic (information) and pandemic (infection) dynamics.
The TRENDING project studies the interplay between information exposure and infectious disease transmission. The aim is to develop a mathematical model combining this interplay using real-life data. This model will estimate the impact of different infodemic interventions on the number of new infections.
As a postdoctoral researcher, you will be involved in designing and developing a mathematical model taking into account infectious disease and (mis)information transmission. Your main responsibilities are:
- To develop a deterministic compartment model that describes transmission of a respiratory infection and the interplay with (mis)information;
- To calibrate the model to real-life contact and information seeking data (these data will be collected within the TRENDING project, through a survey conducted by a junior researcher);
- To analyse the impact of various infodemic management interventions;
- To publish your research findings in peer-reviewed scientific journals;
- To collaborate in a multidisciplinary team consisting of modelers, epidemiologists, infodemic specialists, behavioral scientists and computational social scientists.