Mathematical model on the transmission dynamics of leptospirosis in human and animal population with optimal control strategies using real statistical dataMathematical model on the transmission dynamics of…F. A. Oguntolu et al.

被引:0
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作者
Festus Abiodun Oguntolu [1 ]
Olumuyiwa James Peter [2 ]
Benjamin Idoko Omede [3 ]
Ghaniyyat Bolanle Balogun [4 ]
Tawakalt Abosede Ayoola [5 ]
机构
[1] Federal University of Technology,Department of Mathematics
[2] University of Medical Sciences,Department of Mathematical and Computer Sciences
[3] University of Medical Sciences,Department of Epidemiology and Biostatistics, School of Public Health
[4] Prince Abubakar Audu (Formerly Kogi State) University,Department of Mathematical Sciences
[5] University of Ilorin,Department of Computer Science
[6] Osun State University,Department of Mathematical Sciences
关键词
Leptospirosis; Basic reproduction number; Stability; Sensitivity analysis; Bifurcation; 92B05; 92D30; 92-10; 34D20;
D O I
10.1007/s11135-024-02016-3
中图分类号
学科分类号
摘要
Leptospirosis poses a significant public health challenge, with a growing incidence in both human and animal populations. The complex interplay between reservoir hosts, environmental factors, and human activities complicates efforts to curb the spread of the disease. Consequently, this paper presents a deterministic mathematical model for the transmission dynamics of leptospirosis within the intertwined human and animal populations. A comprehensive examination of the model revealed that the disease-free equilibrium is globally asymptotically stable when the basic reproduction number is below one. Utilizing center manifold theory, we demonstrated that the Leptospirosis model displays forward bifurcation. Consequently, the epidemiological significance of this forward bifurcation suggests that eradicating leptospirosis from the community is feasible, provided the reproduction number remains below one. We conducted a sensitivity analysis on the basic reproduction number of Leptospirosis to identify parameters that contribute positively to the disease’s spread. Furthermore, We validated our Leptospirosis model by fitting it with confirmed cases reported in Kerala State, India, covering the period from January 2021 to December 2022. This calibration process ensures the model’s accuracy and reliability in reflecting real-world epidemiological dynamics within the specified region and timeframe. In addition, we enhanced the Leptospirosis model by incorporating three time-dependent control measures. These controls encompass the vaccination of animals, environmental sanitation, and preventive actions such as using hand gloves and goggles when handling animals, as well as wearing rubber boots during periods of flooding or heavy rainfall. Results obtained from numerical simulations indicate that implementing the vaccination of animals as a standalone control strategy has no discernible effect on the number of infected humans or the bacteria population. However, when the three time-dependent control measures are combined, there is a substantial and meaningful impact on reducing the number of infected humans, infected animals, and the overall bacteria population within a relatively short timeframe. This underscores the effectiveness of the integrated approach in mitigating the spread of leptospirosis across both human and animal populations.
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页码:1405 / 1444
页数:39
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