Viral dynamics models for epidemiology and clinical science

Date:

Tue, 21 Feb 2023

Time:

11 am-12pm [Singapore [GMT +8]

Location:

Seminar Room 2, Level 8
Tahir Foundation Building (MD1)
National University of Singapore
12 Science Drive 2, Singapore 117549

Details:

You are cordially invited to the ON-SITE SSHSPH Staff Research Round. We look forward to your attendance and we hope for an interesting discussion.

Refreshments will be provided at 10:30am, do drop by to hang out for a bit before the session starts.

We will also be having a Lucky Draw at the end of the session, register yourself and stand a chance to win a special prize!
*Only Attendees will be included in the Lucky draw*

Abstract:

During the COVID-19 pandemic an unprecedented amount of longitudinal viral load data have been collected. In this presentation, I will show how these data can be leveraged to develop mathematical models of within-host SARS-CoV-2 viral dynamics. I will then provide an overview of my studies where this approach has been used to provide insights into COVID-19 epidemiology (e.g., estimation of incubation period and improvements of isolation guidelines) and clinical science (sample size calculation for antiviral clinical trials).

Speakers:

Dr Ejima Keisuke
Assistant Professor, Lee Kong Chian School of Medicine, Nanyang Technological University

Dr. Ejima received a PhD in Information Science and Technology from the University of Tokyo, Japan. He worked at University of Alabama at Birmingham and Indiana University for postdoc training. Currently he is an Assistant Professor at LKCMedicine, NTU. His research focuses on mathematical and statistical modelling to address public health questions in the fields of infectious disease, obesity, and nutrition.