Teaching Mathematical Modeling in Epidemiology: Organizational Issues

BACKGROUND: One of the current tasks of higher medical education in epidemiology is the teaching of mathematical and statistical modeling methods for the spread of mass diseases. AIM: To investigate the existing systems of teaching mathematical modeling and forecasting, with an emphasis on agent-based simulation approaches, in medical universities compared to non-medical and technical universities in Russia. METHODS: As part of this descriptive and evaluative study, the curricula for the teaching of mathematical modeling, implemented at universities at various educational levels, were explored. The study included the curricula of non-medical universities (n = 31) and medical education institutions (n = 16). RESULTS: In medical universities, the teaching of mathematical modeling is organized at various levels, including specialist, undergraduate, graduate and postgraduate levels. The total workload of such curricula ranges from 18 to 324 hours. The following specific topics were mentioned in the thematic plans: mathematical epidemiology; the SIR model and its modifications; ordinary differential equations; machine learning and simulation modeling systems in medicine and healthcare; simulation modeling of medical and biological processes, and others. Based on the results of the study, significant differences in the organization of teaching mathematical modeling in non-medical universities were identified. CONCLUSION: Various levels of education in medical universities include certain aspects of forecasting and modeling the spread of infections. There is a substantial potential for teaching relevant topics in residency and postgraduate programs. In medical universities, mathematical modeling in the field of preventive medicine and epidemiology serves as a tool to foster intellectual curiosity, promote the development of thinking, positively impact the professional orientation of future health system specialists, and contribute to the mathematical component of professional competence in medical education.

Authors

Institutions

Publication Details

Journal
Epidemiology and Infectious Diseases
Published
2025-03-31
DOI
https://doi.org/10.17816/eid643570
Primary Topic
Historical and modern epidemiology studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Teaching Mathematical Modeling in Epidemiology: Organizational Issues

N. V. Saperkin
Epidemiology and Infectious Diseases
Historical and modern epidemiology studies
article

Teaching Mathematical Modeling in Epidemiology: Organizational Issues

N. V. Saperkin
article en

Abstract

BACKGROUND: One of the current tasks of higher medical education in epidemiology is the teaching of mathematical and statistical modeling methods for the spread of mass diseases. AIM: To investigate the existing systems of teaching mathematical modeling and forecasting, with an emphasis on agent-based simulation approaches, in medical universities compared to non-medical and technical universities in Russia. METHODS: As part of this descriptive and evaluative study, the curricula for the teaching of mathematical modeling, implemented at universities at various educational levels, were explored. The study included the curricula of non-medical universities (n = 31) and medical education institutions (n = 16). RESULTS: In medical universities, the teaching of mathematical modeling is organized at various levels, including specialist, undergraduate, graduate and postgraduate levels. The total workload of such curricula ranges from 18 to 324 hours. The following specific topics were mentioned in the thematic plans: mathematical epidemiology; the SIR model and its modifications; ordinary differential equations; machine learning and simulation modeling systems in medicine and healthcare; simulation modeling of medical and biological processes, and others. Based on the results of the study, significant differences in the organization of teaching mathematical modeling in non-medical universities were identified. CONCLUSION: Various levels of education in medical universities include certain aspects of forecasting and modeling the spread of infections. There is a substantial potential for teaching relevant topics in residency and postgraduate programs. In medical universities, mathematical modeling in the field of preventive medicine and epidemiology serves as a tool to foster intellectual curiosity, promote the development of thinking, positively impact the professional orientation of future health system specialists, and contribute to the mathematical component of professional competence in medical education.

Epidemiology and Infectious DiseasesVol. 29(6)
Privolzhsky Research Medical University (RU)
Openalex Percentile: Top 92%
Historical and modern epidemiology studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Teaching Mathematical Modeling in Epidemiology: Organizational Issues — N. V. Saperkin · Epidemiology and Infectious Diseases (2025) | TGRS Research Map | TGRS