中俄数学中心特邀专家讲座 — Research in Epidemiology and Evidence-Based Medicine at Sechenov University - with case studies represented by measles transmission modeling and vaccination strategy evaluation
报告人：Dr. Platon Lopukhov (associate professor in Department of Epidemiology and Evidence-Based Medicine at Sechenov University)
Dr. Maksim Antipov (senior lecturer in Department of Epidemiology and Evidence-Based Medicine at Sechenov University)
时间：2026-06-08 10:30-12:00
地点：智华楼四元厅
The seminar would be divided into three parts：
Part1: A short introduction to Sechenov University and the Department of Epidemiology and Evidence-Based Medicine
In this part, we will briefly introduce Sechenov University and the Department of Epidemiology and Evidence-Based Medicine. Sechenov University is the oldest and largest medical university in Russia, currently providing education and conducting research in both medical and related sciences. Information will also be presented on the educational programmes in which the Department of Epidemiology and Evidence-Based Medicine is involved.
Part2: Overview of the main research areas pursued at the Department of Epidemiology and Evidence-Based Medicine
The department’s research covers a wide range of areas in the epidemiology of infectious and non-infectious diseases. Considerable attention is given to epidemiological surveillance, prevention and control of disease spread, including issues of vaccination and adherence to immunoprophylaxis.
Part3: The application of mathematical and statistical modeling methods in the department’s research with a study example
Measles infection is a significant global public health concern, with one patient able to infect 12–18 people in a susceptible population. Mathematical modeling helps understand the factors influencing measles outbreaks, including vaccination levels, population density and movement patterns of the people who comprise it.We will present some examples: an agent-based model of measles infection, which would predict the effectiveness of various anti-epidemic measures in small-group settings such as academic buildings a comparative assessment of the long-term epidemiological effect of different measles vaccination schedules using the developed agent-based simulation model. We will also briefly discuss promising directions for future research.
