Bing-ke Yang - Epidemiology

Author Information

Bingyi Yang is affiliated with the WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. Yang's work primarily focuses on the epidemiology of infectious diseases, with particular expertise in the transmission dynamics and control of viruses such as COVID-19 and dengue.

Research Contributions

Bingyi Yang has made significant contributions to the understanding of infectious disease transmission and control measures. Key areas of research include real-time estimation of COVID-19 transmission, the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission, and the periodic synchronisation of dengue epidemics driven by temperature and immunity. Yang's work is notable for its use of cross-sectional and modelling studies to reveal insights into virus transmission dynamics, which has been particularly relevant during the COVID-19 pandemic.

Aliases

Bingyi Yang is also known by the alias Bing-ke Yang. This alias may appear in various publications or databases.

Publication and Citation Metrics

Metric	Value
Number of Papers	52
Citation Count	1604
H-index	15

Publications:

Incorporating temporal distribution of population-level viral load enables real-time estimation of COVID-19 transmission

DOI: 10.1038/s41467-022-28812-9

Year: 2022

Periodic synchronisation of dengue epidemics in Thailand over the last 5 decades driven by temperature and immunity

DOI: 10.1371/journal.pbio.3001160

Year: 2022

Universal community nucleic acid testing for COVID-19 in Hong Kong reveals insights into transmission dynamics

DOI: 10.21203/RS.3.RS-542072/V1

Year: 2021

International risk of the new variant COVID-19 importations originating in the United Kingdom

DOI: 10.1101/2021.01.09.21249384

Year: 2021

Universal Community Nucleic Acid Testing for COVID-19 in Hong Kong Reveals Insights into Transmission Dynamics

DOI: 10.2139/ssrn.3844899

Year: 2021

Universal community nucleic acid testing for COVID-19 in Hong Kong reveals insights into transmission dynamics: a cross-sectional and modelling study.

DOI: 10.1093/cid/ciab925

Year: 2021

Incorporating temporal distribution of population-level viral load enables real-time estimation of COVID-19 transmissibility

DOI: 10.21203/rs.3.rs-841953/v1

Year: 2021

Effect of specific non-pharmaceutical intervention policies on SARS-CoV-2 transmission in the counties of the United States

DOI: 10.1038/s41467-021-23865-8

Year: 2021

Using Secondary Cases to Characterize the Severity of an Emerging or Re-Emerging Infection

DOI: 10.2139/ssrn.3854641

Year: 2021

Changing disparities in COVID-19 burden in the ethnically homogeneous population of Hong Kong through pandemic waves: an observational study.

DOI: 10.1093/cid/ciab002

Year: 2021

What is Genetic Counseling?

What is Waterborne Transmission?

How do Natural Sources Impact Human Health?

What are Regulatory Requirements in Epidemiology?

What are the Challenges in Using Non-Human Primates for Epidemiological Research?

How Do Biological Sensors Work?

How Does Customization Enhance Research Approaches?

How to Minimize Initial Costs?

How Do Leaders Foster a Culture of Continuous Improvement?

How is the Data Analyzed?

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