Risk prediction for severe dengue infection

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PROJECT DESCRIPTION

Dengue is a global health problem which is endemic in 128 countries with more than half the global population at risk of infection. At times of epidemics, large numbers of patients have to be monitored as patients at risk of severe dengue fever cannot be predicted. This imposes a considerable strain on health care resources. This project focuses on characterizing immunological associations for severe dengue from samples collected from a cohort of patients with well-defined clinical phenotypes (severe vs. non severe disease).

IDEAL CANDIDATE

The ideal candidate should be familiar with basic science research methods pertaining to immunological assays and data analysis. Experience in peripheral blood mononuclear cell (PBMC) processing and flowcytometry is an advantage.
Alternatively, medical doctors with clinical experience who are willing to do a basic science oriented PhD are also welcome to apply.
It is essential that all candidates demonstrate prior research experience and excellence as per UNSW Scientia scholarship guidelines and HDR admission criteria.
Supervisory team
Chaturaka
Rodrigo

Medicine
Medical Sciences
Andrew
Lloyd

Medicine
The Kirby Institute
Deepika
Fernando

University of Colombo, Sri Lanka
Department of Parasitology, Faculty of Medicine
c.rodrigo@unsw.edu.au