Chun‐Ka Wong
Biographic Data
| ID | 7756991 |
|---|---|
| NAME | Chun‐Ka Wong |
| GIVEN NAMES | Chun‐Ka |
| FAMILY NAME | Wong |
| SIGNATURE | WONG C K |
| AFFILIATIONS | Chinese University of Hong Kong |
| ORCID | 0000-0001-5205-9440 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Synergy and collaboration with young educators and students
Psychometric validation of the Cardiac Distress Inventory - Short Form among people with cardiac diseases in Hong Kong
Our study provides the first results on the psychometric properties of the CDI-SF among cardiac patients in Hong Kong. The psychometric results support the CDI-SF as a precise, valid, and reliable measure of cardiac distress in the Chinese context
Modelling the impact of travel restrictions on Covid-19 cases in Hong Kong in early 2020
Early complete travel restriction is effective in reducing cumulative cases and mortality. However, additional anti-COVID-19 measures to reduce local R 0 to below 1.6 are necessary to prevent COVID-19 cases from overwhelming hospital isolation facilities
No prominent works on this page.
Modelling the impact of travel restrictions on Covid-19 cases in Hong Kong in early 2020
Early complete travel restriction is effective in reducing cumulative cases and mortality. However, additional anti-COVID-19 measures to reduce local R 0 to below 1.6 are necessary to prevent COVID-19 cases from overwhelming hospital isolation facilities
Synergy and collaboration with young educators and students
Psychometric validation of the Cardiac Distress Inventory - Short Form among people with cardiac diseases in Hong Kong
Our study provides the first results on the psychometric properties of the CDI-SF among cardiac patients in Hong Kong. The psychometric results support the CDI-SF as a precise, valid, and reliable measure of cardiac distress in the Chinese context
Medicine (3 works) · Psychology (2 works) · 2019-20 coronavirus outbreak (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Biostatistics (1 work) · Cardiac Health and Mental Health (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Computer Science (1 work)