Welcome to MINDS!

Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

News

🌟 DACON Ranker Special Lecture: Winning Strategies for AI Competitions 🌟 2023.11.30

3nd POSTECH&Peking SIAM Student Chapter Joint Conference 2023.11.01

2023 PSSC Summer Camp 2023.10.04

[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구계약직 공고]-상시모집 2023.07.25

[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구계약직 공고] 2023.07.14

[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구교수 채용 공고] 2023.06.12

Seminar | Joint seminar for probability and mathematical biology 2023.05.02

[POSTECH(포항공과대학교) 수리 데이터과학 연구소 연구계약직 공고] 2023.02.15

Upcoming Events

Schedule

MINDS SEMINAR

MINDS Seminar Series | Jeehyun Lee (Yonsei University) - A mathematical modeling in epidemiology: the epidemiologic and economic impact of varicella and herpes zoster vaccination in South Korea

MINDS SEMINAR

period : 2024-11-12 ~ 2024-11-12

time : 17:00:00 ~ 18:00

개최 장소 : Math Bldg 404 & Online streaming (Zoom)

Topic : A mathematical modeling in epidemiology: the epidemiologic and economic impact of varicella and herpes zoster vaccination in South Korea

개요

Date	2024-11-12 ~ 2024-11-12	Time	17:00:00 ~ 18:00
Speaker	Jeehyun Lee	Affiliation	Yonsei University
Place	Math Bldg 404 & Online streaming (Zoom)	Streaming link	ID : 688 896 1076 / PW : 54321
Topic	A mathematical modeling in epidemiology: the epidemiologic and economic impact of varicella and herpes zoster vaccination in South Korea
Contents	Mathematical epidemiology is distinct from most sciences because it does not lend to experimental validation of models. In this field, experiments are often impractical and may raise ethical concerns. Consequently, mathematical models play a crucial role as tools for comparing strategies for preparing for anticipated epidemics or pandemics and responding to disease outbreaks. This lecture discusses the mathematical modeling of diseases and their applications, using the varicella-zoster virus (VZV) as an example. VZV causes two different diseases over a person’s lifetime: varicella and herpes zoster (HZ), commonly known as chickenpox and shingles, respectively. In 2005, a one-dose varicella vaccination was introduced for one-year-old children as part of Korea’s national immunization program (NIP). However, this strategy's effectiveness was moderate, leading to considerations of including a second dose in the NIP. Meanwhile, approximately 20 % of the population is expected to experience HZ during their lifetime, resulting in significant socioeconomic impacts. We developed a dynamic model of VZV to analyze the impact and cost-effectiveness of introducing a two-dose varicella vaccination for children and a zoster vaccination for adults.