Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Dr Greta Tam

Dr Greta Tam

Research groups

Greta Tam

Research Physician

  • Geospatial Dynamics group, MORU Epidemiology
  • PhD Student, Hong Kong University

At MORU since 2020, Greta Tam is Research Physician in MORU Epidemiology’s Geospatial Dynamics group, and a PhD student at the University of Hong Kong, Greta’s research interests include maximizing the use of human population movement data for malaria control and elimination by conducting epidemiological and genetic analysis on routine malaria surveillance data collected from Lao PDR.

Greta’s main areas of research are spatiotemporal modelling, GIS mapping, population movement with dynamic modelling of malaria spread, parasite genetics and evolution (particularly artemisinin resistance) and malaria elimination.

Greta is a fellow of the UK Faculty of Public Health (FFPH), Hong Kong Academy of Medicine (FHKAM) and Hong Kong College of Community Medicine (FHKCCM) Public Health Medicine. She holds an MBBS (University of Hong Kong), an MSc in Global Health Sciences (University of California, San Francisco) and completed her community medicine specialist training while working as a Research Assistant Professor at Chinese University of Hong Kong.

Since joining MORU, Greta’s key study is: Tam, G., Cowling, B.J. Cowling; Maude, R.J. Analysing human population movement data for malaria control and elimination Malar J 20, 294 (2021).
Her results have been shared with the Lao PDR government and Greta and colleagues are working closely to ensure that the research answers their needs for more accurate malaria surveillance and timely programme implementation.

Publications