skip to primary navigationskip to content
 

Dr Petra Klepac

Dr Petra Klepac

AXA Research Fund Fellow


Biography:

I earned my PhD in Biological Oceanography at the Massachusetts Institute of Technology and Woods Hole Oceanographic Institution Joint Program under Dr. Michael Neubert, where I focused on modeling population biology and studying the dynamics of infectious diseases in marine mammals (phocine distemper virus outbreaks in harbor seals).  My interest and work in control and management of infectious diseases developed during my postdoc with Prof. Bryan Grenfell at Princeton University.

Research themes

Epidemiology and mathematical modelling:
  • •Integration epidemiological and demographic processes into a unified framework to understand the role of demography as an important epidemiological driver.
    •Incorporating economic constraints into epidemiological models to investigate the combined economic and epidemic dynamics of vaccination.
    •Drawing on game theory and theory of self-enforcing international agreements to identify the levels of international cooperation necessary to reach optimal and more uniform regional vaccination coverage.
  • Integration of epidemiological and demographic processes into a unified framework to understand the role of demography as an important epidemiological driver.
  • Incorporating economic constraints into epidemiological models to investigate the combined economic and epidemic dynamics of vaccination.
  • Drawing on game theory and theory of self-enforcing international agreements to identify the levels of international cooperation necessary to reach optimal and more uniform regional vaccination coverage.

Research Interests

Control and management of infectious diseases

Demography as an epidemiological driver

Self-enforcing agreements in international disease control

Keywords

  • Evolution
  • Ecology
  • Epidemic control
  • Epidemiology
  • Dynamics

Topics

  • International Agreements
  • Game Theory
  • Demography

Equipment

  • Mathematical modelling
  • Computational modelling