Research Topic · Peer-Reviewed

Mathematical Modeling

Mathematical Modeling is the process of creating a mathematical representation of a real-world system or process. It is widely used in the study of infectious diseases such as coronaviruses. With the emergence of the recent coronavirus pandemic, mathematical modeling has become increasingly relevant in understanding…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 115× across the literature 🔖 ISSN 2692-1537 🗓 Reviewed June 2026

Overview

Mathematical Modeling is the process of creating a mathematical representation of a real-world system or process. It is widely used in the study of infectious diseases such as coronaviruses. With the emergence of the recent coronavirus pandemic, mathematical modeling has become increasingly relevant in understanding and predicting its spread, assessing the effectiveness of various interventions, and providing data for decision-making. Mathematical models can be used to study different aspects of the coronavirus infection, including transmission dynamics, clinical outcomes, and population immunity. They can take into account various factors that affect the spread of the virus, such as social distancing measures, testing, and vaccination programs. These models can also help estimate the number of infections, hospitalizations, and deaths, as well as identify hotspots and vulnerable populations. Researchers use various types of mathematical models, such as compartmental models, dynamic models, and agent-based models. These models rely on different assumptions and data inputs, and their accuracy depends on the quality and availability of data. It is therefore essential to continuously update and refine the models as new data becomes available. Overall, mathematical modeling plays a critical role in understanding and combating the coronavirus pandemic. It provides insights into the complex interactions between the virus, the human population, and the environment, and helps guide policy decisions to mitigate its impact. By leveraging the power of mathematical modeling, we can continue to refine our understanding of the coronavirus and work towards minimizing its spread and impact.

Research published in this journal

12 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 12 articles above have been cited 115 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Mathematical Modeling, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in International Journal of Coronaviruses (ISSN 2692-1537).

Journal editorial board
Dr. Sasho Stoleski · North Macedonia Dr. Amgad M. Rabie · Egypt Dr. Omeed Memar · USA

This page summarises published research for orientation; it is not medical or professional advice.