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mathematical modeling and optimal control approaches for dengue
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نویسنده
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baroudi m. ,gourram h. ,alia m. ,labzai a. ,belam m.
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منبع
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iranian journal of numerical analysis and optimization - 2025 - دوره : 15 - شماره : Issue 1 - صفحه:396 -423
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چکیده
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This research explores a continuous-time mathematical model that outlines the transmission dynamics of the dengue virus across different regions, in-volving both human and mosquito hosts. we propose an optimal strat-egy that includes awareness campaigns, safety measures, and health inter-ventions in dengue-endemic areas, with the goal of reducing transmission between individuals and mosquitoes, thus lowering human infections and eliminating the virus in mosquito populations. utilizing the discrete-time pontryagin’s maximum principle, we identify optimal control measures and employ an iterative approach to solve the optimal system. numerical sim-ulations are carried out using matlab, and a cost-effectiveness ratio is computed. through an in-depth cost-effectiveness analysis, we highlight the effectiveness of strategies focused on protecting at-risk populations, pre-venting contact between infected humans and mosquitoes, and promoting the use of quarantine facilities as the most powerful methods for controlling the spread of the dengue virus.
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کلیدواژه
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optimal control; dengue virus; spread of dengue
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آدرس
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hassan ii university of casablanca, faculty of sciences ben m’sik, laboratory of analysis modeling and simulation, department of mathematics and computer science, morocco, hassan ii university of casablanca, faculty of sciences ben m’sik, laboratory of analysis modeling and simulation, department of mathematics and computer science, morocco, cadi ayyad university, faculty of sciences semlalia-marrakech (fssm), laboratory of mathematics and population dynamics (lmpd), morocco, hassan ii university of casablanca, faculty of sciences ben m’sik, laboratory of analysis modeling and simulation, department of mathematics and computer science, morocco, hassan ii university of casablanca, faculty of sciences ben m’sik, laboratory of analysis modeling and simulation, department of mathematics and computer science, morocco
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پست الکترونیکی
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m.belamm@gmail.com
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Authors
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