Optimal control and cost-effectiveness analysis for leptospirosis epidemic-Reference-Cited by-同舟云学术

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Optimal control and cost-effectiveness analysis for leptospirosis epidemic

Published:2023-09-11 Issue:1 Volume:17 Page:
ISSN:1751-3758
Container-title:Journal of Biological Dynamics
language:en
Short-container-title:Journal of Biological Dynamics

Author:

Engida Habtamu Ayalew¹²,Theuri David Mwangi³,Gathungu Duncan Kioi³,Gachohi John⁴

Affiliation:

1. Department of Mathematics, Pan African university for Basic Science, Technology and Invocation (PAUSTI) /JKUAT, Nairobi, Kenya

2. Department of Applied Mathematics, Debre Markos University, Debre Markos, Ethiopia

3. Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

4. School of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

Publisher

Informa UK Limited

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://www.tandfonline.com/doi/pdf/10.1080/17513758.2023.2248178

Reference36 articles.

1. Optimal control and cost-effective analysis of malaria/visceral leishmaniasis co-infection

2. Modelling financial crime population dynamics: optimal control and cost-effectiveness analysis

3. A co-infection model of dengue and leptospirosis diseases

4. Molecular detection of leptospirosis and melioidosis co-infection: A case report

5. Optimal control and comprehensive cost-effectiveness analysis for COVID-19;Asamoah J.K.K.;Res. Phys.,2022

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1. Modelling environmental-born melioidosis dynamics with recurrence: An application of optimal control;Results in Control and Optimization;2024-09

2. A nonlinear mathematical model for exploring the optimal cost-effective therapeutic strategies and within-host viral infections spread dynamics;Healthcare Analytics;2024-06

3. Optimal control and cost-effectiveness analysis for the human melioidosis model;Heliyon;2024-02

4. Editorial: Using mathematical models to understand, assess, and mitigate vector-borne diseases;Frontiers in Applied Mathematics and Statistics;2023-11-08

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