Juei-Chao Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Juei-Chao Chen has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Hao-Hsuan Lin
School of Traditional Chinese Medicine, Chang Gung University, Taoyuan 333323, Taiwan
1 shared publication Kuo-Hung Lo
Department of Industrial Engineering and Management, Yuan Ze University, Zhongli 32003, Taiwan
1 shared publication- Shih-An Chang
Graduate Institute of Artificial Intelligence, College of Intelligent Computing, Chang Gung University, Taoyuan City, Taiwan
1 shared publication - Tai-Chi Chen Wang
Department of Atmospheric Sciences, National Central University, Taoyuan 320317, Taiwan
1 shared publication - Tien-Lung Sun
Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan Tung Road, Chungli District, Taoyuan 320, Taiwan
1 shared publication - Wan-Yi Lin
Department of Traditional Chinese Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
1 shared publication
Latest Publications
- Open Access
- 7 May 2024
- Published by MDPI AG in Microorganisms
- Vol. 12 (5) , 947
Do Weather Conditions Still Have an Impact on the COVID-19 Pandemic? An Observation of the Mid-2022 COVID-19 Peak in Taiwan
Since the onset of the COVID-19 pandemic in 2019, the role of weather conditions in influencing transmission has been unclear, with results varying across different studies. Given the changes in border policies and the higher vaccination rates compared to earlier conditions, this study aimed to reassess the impact of weather on COVID-19, focusing on local climate effects. We analyzed daily COVID-19 case data and weather factors such as temperature, humidity, wind speed, and a diurnal temperature range from 1 March to 15 August 2022 across six regions in Taiwan. This study found a positive correlation between maximum daily temperature and relative humidity with new COVID-19 cases, whereas wind speed and diurnal temperature range were negatively correlated. Additionally, a significant positive correlation was identified between the unease environmental condition factor (UECF, calculated as RH*Tmax/WS), the kind of Climate Factor Complex (CFC), and confirmed cases. The findings highlight the influence of local weather conditions on COVID-19 transmission, suggesting that such factors can alter environmental comfort and human behavior, thereby affecting disease spread. We also introduced the Fire-Qi Period concept to explain the cyclic climatic variations influencing infectious disease outbreaks globally. This study emphasizes the necessity of considering both local and global climatic effects on infectious diseases.
- 7 May 2024
- Published by MDPI AG in Microorganisms
- Vol. 12 (5) , 947
Open AccessDo Weather Conditions Still Have an Impact on the COVID-19 Pandemic? An Observation of the Mid-2022 COVID-19 Peak in Taiwan
Since the onset of the COVID-19 pandemic in 2019, the role of weather conditions in influencing transmission has been unclear, with results varying across different studies. Given the changes in border policies and the higher vaccination rates compared to earlier conditions, this study aimed to reassess the impact of weather on COVID-19, focusing on local climate effects. We analyzed daily COVID-19 case data and weather factors such as temperature, humidity, wind speed, and a diurnal temperature range from 1 March to 15 August 2022 across six regions in Taiwan. This study found a positive correlation between maximum daily temperature and relative humidity with new COVID-19 cases, whereas wind speed and diurnal temperature range were negatively correlated. Additionally, a significant positive correlation was identified between the unease environmental condition factor (UECF, calculated as RH*Tmax/WS), the kind of Climate Factor Complex (CFC), and confirmed cases. The findings highlight the influence of local weather conditions on COVID-19 transmission, suggesting that such factors can alter environmental comfort and human behavior, thereby affecting disease spread. We also introduced the Fire-Qi Period concept to explain the cyclic climatic variations influencing infectious disease outbreaks globally. This study emphasizes the necessity of considering both local and global climatic effects on infectious diseases.
- Open Access
- 27 August 2014
- Published by Wiley in Discrete Dynamics in Nature and Society
- Vol. 2014, 1-4
A Unified Weight Formula for Calculating the Sample Variance from Weighted Successive Differences
The basic formula to calculate sample variance is based on the sum of squared differences from mean. From computational perspective, mean calculation is nondesired as it can introduce computing errors. Previous researches have proposed to use weighted formula of the successive differences to calculate sample variance to avoid mean calculation. But their weighted formula is not in a unified format in the sense that it has to be represented as two formulas. This paper proposes a unified weight formula for sample variance calculation from weighted successive differences. A proof is provided to show that sample variance calculated using the proposed unified weighted formula is mathematically equivalent to the basic definition.
- 27 August 2014
- Published by Wiley in Discrete Dynamics in Nature and Society
- Vol. 2014, 1-4
Open AccessA Unified Weight Formula for Calculating the Sample Variance from Weighted Successive Differences
The basic formula to calculate sample variance is based on the sum of squared differences from mean. From computational perspective, mean calculation is nondesired as it can introduce computing errors. Previous researches have proposed to use weighted formula of the successive differences to calculate sample variance to avoid mean calculation. But their weighted formula is not in a unified format in the sense that it has to be represented as two formulas. This paper proposes a unified weight formula for sample variance calculation from weighted successive differences. A proof is provided to show that sample variance calculated using the proposed unified weighted formula is mathematically equivalent to the basic definition.