Collaboration

  • Centre Suisse de Recherches Scientifiques, Côte d’Ivoire
  • DBL- Centre for Health Research and Development, Denmark
  • INDEPTH Network
  • Institute of Statistics, University of Neuchatel, Switzerland
  • Louisiana State University
  • Malaria Control and Evaluation Partnership in Africa (MACEPA), Zam-bia
  • Malaria Research and Training Center (MRTC), Mali
  • National Institute of Parasitic Diseases, China CDC, Shanghai, China  
  • South Africa Malaria Research Center (SAMRC), South Africa
  • St Gallen cancer registry, Switzerland
  • University of Zambia
  • University of Bahia, Brazil
  • Witwatersrand University, South Africa

Funding

SNSF

Oncosuisse EU

PAHO/WHO

Bayesian Disease Modelling

The main thematic areas of the group are disease spatio-temporal modelling and forecasting, modelling disease prevalence data with diagnostic error and co-infection prevalence from single diseases surveys. Spatio-temporal modelling is a focal reasearch area of the STI It involves developing data-driven Bayesian statistical methods and applications on disease mapping, assessment of determinants of the space-time disease distribution and projecting disease dynamics. The main areas of applications are malaria, neglected infectious diseases, cancer and mortality. The group offers a two-week course on Bayesian Disease Mapping.