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​Computational and Statistical
​ Epidemiology

We utilize computational and statistical methods, including
statistical machine learning, statistical physics, and computer
simulation, to model disease transmission within infected
individuals (with-host studies) and across population levels
(between-host studies) and optimize the effectiveness and
cost-effectiveness of public health interventions, including
vaccination and drug treatment.

Highlighted Publications 

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Cost effectiveness of fractional doses of COVID-19 vaccine boosters in India
Du, et al. Med (2023)
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Modeling comparative cost-effectiveness of SARS-CoV-2 vaccine dose fractionation in India
Du, et al. Nature Medicine (2022)
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Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong
Du, et al. Proceedings of the National Academy of Sciences (2022)
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Comparative cost-effectiveness of SARS-CoV-2 testing strategies in the USA: a modelling study
Du, et al. The Lancet Public Health (2021)
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Risk for Transportation of Coronavirus Disease from Wuhan to Other Cities in China
Du, et al. Emerging infectious diseasesĀ (2020)
MORE
CS-EPI GroupHKU-SPH - School of Public Health, The University of Hong Kong
G/F, Patrick Manson Building (North Wing), 7 Sassoon Road, Pokfulam, Hong Kong
D²4H - Laboratory of Data Discovery for Health Limited
Units 1201-1206, 1223 & 1225, 12/F, Building 19W, 19 Science Park West Avenue, Hong Kong
Science Park, Pak Shek Kok, New Territories, Hong Kong

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