Ya-Ting Hsu
Biographic Data
| ID | 6081748 |
|---|---|
| NAME | Ya-Ting Hsu |
| GIVEN NAMES | Ya-Ting |
| FAMILY NAME | Hsu |
| SIGNATURE | HSU Y |
| AFFILIATIONS | Chieh Cheng, Hsiao-Yu Wu, Ya-Ting Hsu, Yi-Kai Chen, Yung-An Jang, Chih-Fan Hung, and Wei-Ming Jiang were with the Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan, at the time of this study. Shu-Chen Kuo is with the National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan. Brandon Fan is with the Richard Montgomery High School, Rockville, MD. Byron Fan is with the Department of Applied Mathematics, Brown |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Excess Mortality and Containment Performance During the Covid-19 Pandemic
Objectives. To expand COVID-19 containment indicators to evaluate the relationship between excess mortality and government response. Methods. We developed a longitudinal study analyzing excess mortality, COVID-19 containment, and structural conditions in 34 countries between 2020 and 2022. Results. The average excess mortality ratios of the 34 countries were 1.09, 1.14, and 1.11 in 2020, 2021, and 2022, respectively. Thirteen countries experience…
Real-time forecasting of Covid-19 spread according to protective behavior and vaccination
The key findings of this study are incorporating behavior and vaccination as predictors led to accurate predictions and highlighted their significant role in controlling the pandemic. These models are easily interpretable and can be embedded in a "real-time" schedule with weekly data updates. They can support timely decision making about policies to control dynamically changing epidemics
No prominent works on this page.
Real-time forecasting of Covid-19 spread according to protective behavior and vaccination
The key findings of this study are incorporating behavior and vaccination as predictors led to accurate predictions and highlighted their significant role in controlling the pandemic. These models are easily interpretable and can be embedded in a "real-time" schedule with weekly data updates. They can support timely decision making about policies to control dynamically changing epidemics
Excess Mortality and Containment Performance During the Covid-19 Pandemic
Objectives. To expand COVID-19 containment indicators to evaluate the relationship between excess mortality and government response. Methods. We developed a longitudinal study analyzing excess mortality, COVID-19 containment, and structural conditions in 34 countries between 2020 and 2022. Results. The average excess mortality ratios of the 34 countries were 1.09, 1.14, and 1.11 in 2020, 2021, and 2022, respectively. Thirteen countries experience…
COVID-19 epidemiological studies (2 works) · Demography (2 works) · Disease (2 works) · Medicine (2 works) · Pandemic (2 works) · Akaike information criterion (1 works) · Autoregressive integrated moving average (1 works) · Climate Change and Health Impacts (1 works) · Confidence interval (1 works) · Containment (computer programming) (1 works)