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The Influence of Migration to Regions with Different Coverages of Health Education on Schistosomiasis

Author

Listed:
  • Pan Tang

    (Department of Public Sports and Art Teaching, Hefei University, Hefei 230601, China)

  • Shiwen Qian

    (School of Mathematical Sciences, Anhui University, Hefei 230601, China)

  • Lei Shi

    (Department of Mathematics, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Longxing Qi

    (School of Mathematical Sciences, Anhui University, Hefei 230601, China)

  • Tingting Li

    (Anhui Institute of Schistosomiasis, Hefei 230601, China)

Abstract

Background: Health education plays a vital role in the prevention and control of schistosomiasis in China and throughout the world. However, the coverage of health education varies from place to place for various reasons. Moreover, people with different levels of health education migrate between different regions. Methods: In order to analyze the effects of different coverages of health education on schistosomiasis transmission, a schistosomiasis mathematical model with people’s inter-regional migration is constructed in two regions with different coverages of health education. The basic reproduction number is calculated, the global stability of the system is analyzed qualitatively, and a numerical simulation is carried out. Results: (1) The transmission trend of schistosomiasis could be reduced by increasing the migration of the susceptible population from the region with a high coverage of health education to the region with low coverage, or by increasing the migration of the infected population between the two regions. Schistosomiasis can even be eliminated if the migration of the susceptible or infected population from the region with a high coverage of health education to the region with a low coverage is sufficiently large. This is quite different from the prevention and control of other epidemics in which the movement of people should be restricted. (2) A low coverage of health education will have an impact on the number of patients and infected snails in both of the two regions. This result indicates that increasing the coverage of health education can reduce the risk of schistosomiasis not only in the local population but also in the surrounding regions to which people migrate. Conclusions: There is no need to restrict the migration of the infected population between the two regions nor the migration of the susceptible population from the region with a high coverage of health education to the region with a low coverage. However, there is a need to restrict the migration of the susceptible population from the region with a low coverage of health education to the region with a high coverage. These are some suggestions to prevent and control schistosomiasis.

Suggested Citation

  • Pan Tang & Shiwen Qian & Lei Shi & Longxing Qi & Tingting Li, 2023. "The Influence of Migration to Regions with Different Coverages of Health Education on Schistosomiasis," Mathematics, MDPI, vol. 11(12), pages 1-27, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:12:p:2666-:d:1169096
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    References listed on IDEAS

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    1. Longxing Qi & Jing-an Cui, 2013. "A Schistosomiasis Model with Praziquantel Resistance," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-13, March.
    2. Kloos, Helmut, 1995. "Human behavior, health education and schistosomiasis control: A review," Social Science & Medicine, Elsevier, vol. 40(11), pages 1497-1511, June.
    3. Kumar, Anuj & Srivastava, Prashant K. & Gupta, R.P., 2019. "Nonlinear dynamics of infectious diseases via information-induced vaccination and saturated treatment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 157(C), pages 77-99.
    4. Li, Hong-Li & Zhang, Long & Teng, Zhidong & Jiang, Yao-Lin & Muhammadhaji, Ahmadjan, 2018. "Global stability of an SI epidemic model with feedback controls in a patchy environment," Applied Mathematics and Computation, Elsevier, vol. 321(C), pages 372-384.
    5. Yu Zhao & Mingtao Li & Sanling Yuan, 2017. "Analysis of Transmission and Control of Tuberculosis in Mainland China, 2005–2016, Based on the Age-Structure Mathematical Model," IJERPH, MDPI, vol. 14(10), pages 1-14, October.
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