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Kin On Kwok

Showing results (1-10 of 99) with videos related to

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Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|April 10, 2022
Learning from and optimising divergent pandemic responsesJulian W Tang, Kin On Kwok
International Journal of Epidemiology|May 13, 2022
Paradoxical findings on smoking in reduced risk of severe COVID-19Shiu Lun Au Yeung, Kin On Kwok
Plos One|July 23, 2011
Modelling the proportion of influenza infections within households during pandemic and non-pandemic yearsKin On Kwok, Gabriel M Leung, Steven Riley
Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|July 31, 2021
Can Asia now learn from the experience of the West?Julian W Tang, Samantha Wu, Kin On Kwok
Epidemics|September 30, 2025
Forecasting regional COVID-19 hospitalisation in England using ordinal machine learning methodHaowei Wang, Kin On Kwok, Ruiyun Li, et al.
Nature Metabolism|February 22, 2023
Actionable targets to reduce COVID-19 severityShiu Lun Au Yeung, Shan Luo, Kin On Kwok
Plos One|September 16, 2015
Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative exampleKin On Kwok, Bahman Davoudi, Steven Riley, et al.
BMC Medical Research Methodology|January 13, 2023
A hybrid machine learning framework to improve prediction of all-cause rehospitalization among elderly patients in Hong KongJingjing Guan, Eman Leung, Kin-On Kwok, et al.
Epidemics|June 11, 2013
Antiviral stockpiles for influenza pandemics from the household perspective: treatment alone versus treatment with prophylaxisKin On Kwok, Gabriel M Leung, Peter Mak, et al.
BMC Medical Research Methodology|February 14, 2023
Correction: A hybrid machine learning framework to improve prediction of all-cause rehospitalization among eldely patients in Hong KongJingjing Guan, Eman Leung, Kin-On Kwok, et al.
Pageof 10

Showing results (1-10 of 99) with videos related to

Sort By:
Pageof 10
Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|April 10, 2022
Learning from and optimising divergent pandemic responsesJulian W Tang, Kin On Kwok
International Journal of Epidemiology|May 13, 2022
Paradoxical findings on smoking in reduced risk of severe COVID-19Shiu Lun Au Yeung, Kin On Kwok
Plos One|July 23, 2011
Modelling the proportion of influenza infections within households during pandemic and non-pandemic yearsKin On Kwok, Gabriel M Leung, Steven Riley
Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|July 31, 2021
Can Asia now learn from the experience of the West?Julian W Tang, Samantha Wu, Kin On Kwok
Epidemics|September 30, 2025
Forecasting regional COVID-19 hospitalisation in England using ordinal machine learning methodHaowei Wang, Kin On Kwok, Ruiyun Li, et al.
Nature Metabolism|February 22, 2023
Actionable targets to reduce COVID-19 severityShiu Lun Au Yeung, Shan Luo, Kin On Kwok
Plos One|September 16, 2015
Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative exampleKin On Kwok, Bahman Davoudi, Steven Riley, et al.
BMC Medical Research Methodology|January 13, 2023
A hybrid machine learning framework to improve prediction of all-cause rehospitalization among elderly patients in Hong KongJingjing Guan, Eman Leung, Kin-On Kwok, et al.
Epidemics|June 11, 2013
Antiviral stockpiles for influenza pandemics from the household perspective: treatment alone versus treatment with prophylaxisKin On Kwok, Gabriel M Leung, Peter Mak, et al.
BMC Medical Research Methodology|February 14, 2023
Correction: A hybrid machine learning framework to improve prediction of all-cause rehospitalization among eldely patients in Hong KongJingjing Guan, Eman Leung, Kin-On Kwok, et al.
Pageof 10