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Peter, Olumuyiwa James, Babasola, Oluwatosin, Ojo, Mayowa, Omame, Andrew. (1404). Modelling the transmission of Mpox with a case study in Nigeria and the Democratic Republic of the Congo (DRC). سامانه مدیریت نشریات علمی, 13(3), 995-1011. doi: 10.22034/cmde.2024.62086.2711
Olumuyiwa James Peter; Oluwatosin Babasola; Mayowa M. Ojo; Andrew Omame. "Modelling the transmission of Mpox with a case study in Nigeria and the Democratic Republic of the Congo (DRC)". سامانه مدیریت نشریات علمی, 13, 3, 1404, 995-1011. doi: 10.22034/cmde.2024.62086.2711
Peter, Olumuyiwa James, Babasola, Oluwatosin, Ojo, Mayowa, Omame, Andrew. (1404). 'Modelling the transmission of Mpox with a case study in Nigeria and the Democratic Republic of the Congo (DRC)', سامانه مدیریت نشریات علمی, 13(3), pp. 995-1011. doi: 10.22034/cmde.2024.62086.2711
Peter, Olumuyiwa James, Babasola, Oluwatosin, Ojo, Mayowa, Omame, Andrew. Modelling the transmission of Mpox with a case study in Nigeria and the Democratic Republic of the Congo (DRC). سامانه مدیریت نشریات علمی, 1404; 13(3): 995-1011. doi: 10.22034/cmde.2024.62086.2711

Modelling the transmission of Mpox with a case study in Nigeria and the Democratic Republic of the Congo (DRC)

Computational Methods for Differential Equations
مقاله 19، دوره 13، شماره 3، مهر 2025، صفحه 995-1011    اصل مقاله (576.33 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22034/cmde.2024.62086.2711
نویسندگان
Olumuyiwa James Peter* 1؛ Oluwatosin Babasola2؛ Mayowa M. Ojo3؛ Andrew Omame4
1Department of Mathematical and Computer Sciences, University of Medical Sciences, Ondo City, Ondo State, Nigeria.
2Center for Ecology of Infectious Diseases, Department of Infectious Diseases, University of Georgia, Athens, Georgia, United States of America.
3Department of Mathematical Sciences, University of South Africa, South Africa.
4Department of Mathematics, Federal University of Technology Owerri, Nigeria.
چکیده
This paper focuses on the dynamics of Mpox, a viral disease, in Nigeria and the Democratic Republic of Congo (DRC) by employing mathematical modeling and parameter estimation techniques. Utilizing optimization methods, the model parameters were calibrated to match the observed Mpox cases and deaths. The basic reproduction number (R0) was calculated for each region, indicating the disease’s transmission potential, and a sensitivity analysis was conducted to identify key parameters influencing disease outcomes. Subsequently, numerical simulations were performed to assess the impact of intervention scenarios on Mpox cases and deaths. The primary goal is to create mathematical methods that can evaluate the risk of Mpox transmission and implement control measures in Nigeria and the DRC, potentially extending the findings to other countries. Results show that reducing parameters related to transmission and progression significantly decreases disease burden, highlighting the importance of preventive measures. These findings provide valuable insights for policymakers and public health officials in designing effective strategies to mitigate Mpox’s impact on human populations.
کلیدواژه‌ها
Non-linear mathematical Mpox model؛ Control measure؛ Effective reproduction number؛ Sensitivity analysis؛ Case and death averted؛ Immunization
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