Using mathematical modelling to evaluate the impact of urbanisation and population aging in South-East Asia on disease transmission.

Stefan Flasche (primary)
IDE
London School of Hygiene and Tropical Medicine
Georges Reniers (secondary)
DPH
London School of Hygiene and Tropical Medicine

Abstract

Over the last few decades, many countries globally have experienced rapid social and demographic change. The consequential change in social contact structure will affect disease transmission and challenge the effectiveness of current control measures for infectious diseases that partially rely on herd protection. Surveys conducted in countries of rapid social change in Southeast Asia have helped quantifying mixing patterns in various settings. By developing mathematical models the PhD candidate will extrapolate social and demographic changes in these countries and corresponding changes in contact patterns and evaluate the implications on targeted minimal vaccine coverage to protect the aging population.


References

  1. Mossong et al “Social contacts and mixing patterns relevant to the spread of infectious diseases”, PLoS Med, 2008
  2. Le Polain et al “Identifying Human Encounters That Shape The Transmission Of Streptococcus Pneumoniae And Other Respiratory Infections”, bioRxiv, 2017
  3. Li et al “Demographic transition and the dynamics of measles in six provinces in China: A modeling study.”, PloS Med, 2017
  4. James “India’s demographic change: opportunities and challenges.” Science, 2011
  5. Pitzer et al “Demographic Variability, Vaccination, and the Spatiotemporal Dynamics of Rotavirus Epidemics”, Science 2009

BBSRC Area
Animal disease, health and welfare
Area of Biology
Ageing
Techniques & Approaches
Mathematics / StatisticsSimulation / Modelling