Modelling the impacts of hospital isolation on the evolution of COVID-19 case fatality rate
- Date: 29 June 2022
- Time: 08:30 PM (Bangladesh local time)
- Speaker: Dr M. Pear Hossain, Post-doctoral Research Assistant, Department of Biomedical Sciences, City University of Hong Kong.
Emerging and reemerging infectious disease outbreaks such as COVID-19 have continued to cause loss or damage of life. It caused many life-threatening consequences worldwide. Many human-made and environmental factors, e.g., healthcare capacity, weather conditions, etc., drive the infection and severity of the outbreaks. During the outbreak, one major public health question is how these factors influence the probability that a newly COVID-19 infected individual will eventually die (that is also called case fatality rate; CFR). In this talk, I will explain some potential factors that might affect the CFR of COVID-19 in different disease stages, for example, exposure time, incubation period, and disease onset.
Dr. M. Pear Hossain received a PhD in Biomedical Sciences with a concentration in Epidemiology and Biostatistics from the City University of Hong Kong, Hong Kong Special Administrative Region of China, in 2022. Before this, he obtained the B.S. and M.S degrees in statistics from the Jahangirnagar University, Bangladesh, in 2009 and 2011, respectively, and M.S in applied statistics from King Fahd University of Petroleum and Minerals, Saudi Arabia, in 2016. Currently, he is a post-doctoral Research Assistant at the Department of Biomedical Sciences, City University of Hong Kong.
He is a recipient of the Hong Kong government’s most prestigious scholarship for PhD studies – “Hong Kong PhD Fellowship Scheme (HKPFS).” At the City University of Hong Kong, he received “Chow Yei Ching School of graduate studies entrance scholarship,” “Outstanding Academic Performance Award for Research Degree Students,” and “Research Tuition Scholarship” for his excellence in the academy and research.
His current research focuses on modeling infectious disease dynamics and assessing the impacts of interventions and potential factors on disease transmissibility and severity. He published several articles in this field during his tenure at CityU. Apart from this, he contributed substantially to core statistical research.