Mathematical Modelling of Malaria Spread in Response to Climate Variability in Sudan
- سال انتشار: 1404
- محل انتشار: مجله کنترل و بهینه سازی در ریاضیات کاربردی، دوره: 10، شماره: 1
- کد COI اختصاصی: JR_COAM-10-1_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 28
نویسندگان
Department of Mathematics and Applied Mathematics, University of the Western Cape, Private Bag X۱۷, Bellville ۷۵۳۵, South Africa.
Department of Mathematics and Applied Mathematics, University of the Western Cape, Private Bag X۱۷, Bellville ۷۵۳۵, South Africa.
Department of Mathematics and Applied Mathematics, University of the Western Cape, Private Bag X۱۷, Bellville ۷۵۳۵, South Africa.
چکیده
Malaria continues to represent a significant public health concern in Sudan, with cases rising over ۴۰% from ۲۰۱۵ to ۲۰۲۰. This research investigates how climate change affects malaria transmission patterns using a mathematical model in an ordinary differential equation framework. The analysis involves calculating the basic reproduction number and evaluating the system's qualitative properties to gain insights into disease dynamics. Additionally, a sensitivity analysis is conducted to evaluate how climatic conditions, e.g., rainfall and temperature, influence key model parameters. Statistical approaches are utilized to estimate parameters and calibrate the model using empirical data from Sudan, ensuring consistency between the model and observed trends. Numerical simulations demonstrate the growing influence of climate variability on the spatial distribution of malaria vectors and the transmission progression over time. The study establishes a strong association between climatic changes and the exacerbation of malaria prevalence in Sudan. These findings emphasize the urgent need for climate-adaptive strategies, including improved vector control, strengthened surveillance systems, and climate-resilient public health interventions, to address the increased risks posed by changing environmental conditions. The research provides valuable insights to inform evidence-based policies aimed at reducing malaria transmission in Sudan and other regions that are experiencing similar challenges due to climate change.کلیدواژه ها
Malaria, Climate change, Mathematical modelling, Stability analysis, Numerical simulationاطلاعات بیشتر در مورد COI
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