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Open Access ·Peer-reviewed·ISSN (Online): 2169-012X·ISSN (Print): 0972-0502

Monthly Journal: Publishes the methodological and theoretical role of mathematics and mathematical applications underpinning scientific research.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Building a mathematical model of epidemics using differential equations

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pp. 281–289Vol. 28Issue 1February 2025DOI: 10.47974/JIM-1893XML
Received:
04 Jun 2024
Published Online:
13 Feb 2025
Article type:
Research Article
Language:
EN
Article no.:
JIM-1893
Pages:
281–289

Abstract

Mathematical fashions based on differential equations are powerful equipment for understanding and predicting the unfold of infectious illnesses in a populace. By representing the dynamics of inclined, infected, and recovered people, these models can simulate the development of epidemics and examine the effect of numerous interventions. The key parameters, together with transmission quotes and healing costs, may be included into the version to offer insights into disease dynamics. Solving those differential equations numerically or analytically enables researchers to gain treasured information about the direction of the epidemic, tell public fitness techniques, and make records-driven choices. Overall, constructing a mathematical model of epidemics the use of differential equations is an essential approach for reading and coping with infectious diseases.

Keywords

Subject Classifications

34K28

References

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