The incidence of dengue infections has increased seven-fold over the last 50 years, to around 100 million per year. Although most infections are either asymptomatic or result in a self-limiting febrile illness, more severe manifestations such as bleeding, organ impairment and shock do occur. Patients admitted to ICU with severe dengue have a 1-10% chance of dying. There is currently neither specific therapeutics, nor a highly effective vaccine. Therefore, it is important to increase our understanding of dengue pathogenesis in order to trial novel therapies and better predict severe outcomes based on early warning symptoms. Previous laboratory studies conducted at OUCRU suggest that activated immune mediated and inflammatory pathways may lead to higher viraemia levels and more severe outcomes. This project aims to use data on biomarkers and viraemia from large cohort studies and apply formal statistical approaches to mediation analysis to further investigate the pathways that lead to severe dengue outcomes. We will also investigate the role of overweight/obesity on disease outcome. In addition, we will build a prediction model that helps in the early identification of severe dengue based on high throughput clinical data collected with newly developed wearable devices.
Location(s) of studies: Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam with some travel to collaborating sites, eg Imperial College London.
In house, and formal, training in mediation analysis and Bayesian statistics. Further comprehensive training in advanced statistical methodology for the analysis of large and complex datasets. Training in machine learning techniques.
Applications should be sent to firstname.lastname@example.org prior to the deadline of 30th September 2019.
Project reference number: 1035
|Ronald Geskus||Tropical Medicine||Oxford University, Ho Chi Minh City||VNMemail@example.com|
|Sophie Yacoub||Tropical Medicine||Oxford University, Ho Chi Minh City||VNMfirstname.lastname@example.org|
|Lam Phung Khanh MD, PhD||Oxford University Clinical Research Unit||VNMemail@example.com|
There are no publications listed for this DPhil project.