Zhanwei Du

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Hong Kong

China

SCHOLARLY PAPERS

3

DOWNLOADS

28

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (3)

1.

Insights into COVID-19 Epidemiology and Control from Temporal Changes in Serial Interval Distributions in Hong Kong

Number of pages: 28 Posted: 04 Oct 2022
The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, University of Cambridge - Department of Genetics, Dalian Minzu University - College of Information and Communication Engineering, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - School of Public Health and The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control
Downloads 21 (806,761)

Abstract:

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2.

Epidemiologic Information Discovery from Open-Access COVID-19 Case Reports Via Pretrained Language Model

Number of pages: 44 Posted: 17 Mar 2022
Dalian University of Technology, City University of Hong Kong, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, University of Cambridge - Department of Genetics, Beijing University of Posts and Telecommunications (BUPT) - School of Economics and Management, affiliation not provided to SSRN, Santa Fe Institute, Dalian University of Technology, affiliation not provided to SSRN, Dalian Minzu University - College of Information and Communication Engineering and Dalian University of Technology - College of Computer Science and Technology
Downloads 7 (931,995)

Abstract:

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Epidemiologic information; Artificial Intelligence; COVID-19 case reports; Pretrained language model; Epidemiology; Natural language processing

3.

Prediction of Upcoming Global Infection Burden of Influenza Seasons after Relaxation of Public Health and Social Measures for COVID-19 Pandemic

Posted: 22 Mar 2022
The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, Konyang University - Department of Preventive Medicine, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, University of Cambridge - Department of Genetics, Dalian Minzu University - College of Information and Communication Engineering, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, Konyang University - Department of Preventive Medicine, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control and The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

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