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  4. Vol 3, Issue 6, 2023

Research on the Prevention and Control of Infectious Diseases in Crowded Places Based on Mathematical Modeling Principles

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DOI: 10.23977/phpm.2023.030612 | Downloads: 8 | Views: 240

Author(s)

Haiyang Li 1, Xinliu Diao 1

Affiliation(s)

1 Department of Basic Courses, Henan Polytechnic Institute, Nanyang, Henan, China

Corresponding Author

Haiyang Li

ABSTRACT

With the rapid pace of urbanization, areas with high population densities are increasingly recognized as hotspots for the swift transmission of infectious diseases. This study focuses on urban subway stations, quintessential examples of crowded spaces, to model and predict the spread of infectious diseases in such environments. Utilizing the principles of mathematical modeling, we developed a specialized SEIR (Susceptible, Exposed, Infectious, Recovered) model that is tailored to the unique dynamics of crowds and the confined nature of subway stations. The model's parameters were determined based on meticulous field survey data, ensuring a high degree of accuracy and relevance. We then used this model to simulate the impact of various prevention and control strategies, such as regulating the flow of crowds and enhancing environmental sanitation management. These simulations are critical for assessing the effectiveness of different interventions in real-time scenarios. The findings from our model offer vital insights for public health officials and policymakers. By understanding the potential spread patterns of infectious diseases in crowded urban settings, our study provides a scientific basis for devising effective epidemic prevention and control strategies. The ultimate goal is to mitigate the risk of disease transmission in densely populated areas, thereby safeguarding public health and safety. This research not only contributes to the field of epidemiological modeling but also has practical implications for managing public health crises in urban environments.

KEYWORDS

Mathematical modeling, crowded places, infectious disease prevention and control

CITE THIS PAPER

Haiyang Li, Xinliu Diao, Research on the Prevention and Control of Infectious Diseases in Crowded Places Based on Mathematical Modeling Principles. MEDS Public Health and Preventive Medicine (2023) Vol. 3: 79-87. DOI: http://dx.doi.org/10.23977/phpm.2023.030612.

REFERENCES

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[5] Pei Tao, Wang Xi, Song Ci , et al. Research progress on spatiotemporal analysis and modeling of COVID-19 epidemic [J]. Journal of Earth Information Science, 2021, 23(2): 188-210.

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