Optimal control of Aedes aegypti using rainfall and temperature data

Vasconcelos, Amália Soares Vieira de; Lima, Josenildo Silva de; Cardoso, Rodrigo T. N.; Acebal, José Luiz; Loaiza, Anibal Munoz

doi:10.1007/s40314-022-01804-7

Cited by 2 publications

(4 citation statements)

References 39 publications

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“…aegypti, based on studies [33,34]. In fact, the entomological parameters in several models are assumed to be considered as dependent on temperature and rainfall [7,26,35,45]. Thus, here the variable parameters are based on temperature d and precipitation r expressions that favor vector growth and development in time and space, as shown below.…”

Section: Rainfall and Temperature Datamentioning

confidence: 99%

“…These intervals were calculated based on the basic offspring number [35]. The interpretation of Q 0 in practice is that if Q 0 > 1, female mosquitoes manage to establish their population in a particular region of the domain, this region is classified as infested by the vector.…”

Section: Mono-objective Optimizationmentioning

confidence: 99%

“…In 2022, Vasconcelos [35] they described a mathematical model to represent the population of Aedes life stages with parameters dependent on temperature and precipitation. Real data from female mosquitoes captured by traps in the city of Lavras (Brazil) was considered to calibrate the model parameters.…”

Section: Introductionmentioning

confidence: 99%

“…This work presents the following novelty: a mono-objective and multiobjective optimization approach to minimize the mosquito population and the control, considered as the application of adulticides and larvicides restricted to the two-dimensional diffusion-reaction model. Regarding the literature, the main differences with the works of [30,35] are: i) a numerical study of the proposed two-dimensional mathematical diffusion-reaction model that describes the interaction between aquatic and adult Ae. aegypti female stages; ii) a mono-objective and multiobjective optimization problem is used.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Multiobjective Optimization Application to Control the Aedes Aegypti Mosquito using a Two-Dimensional Diffusion-Reaction Model

Lima,

Vasconcelos,

Cardoso

2023

Trends Comput. Appl. Math.

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Aedes aegypti is the main vector of multiple diseases, such as dengue, yellow fever, Zika, and chikungunya. Diseases associated with mosquitoes have been growing in recent years, with more than one-third of the world population at risk. Control techniques have been studied to prevent the spread of the Aedes aegypti, such that new formula and how to use adulticides and larvicides, among others. This paper proposes a novel approach in the field of partial differential equations and optimization. We consider a two-dimensional diffusion-reaction model that describes the interaction between aquatic and adult female stages spreading across a domain with parameters dependent on rainfall and temperature. We also formulate a mono-objective and multiobjective optimization problem to minimize the Aedes aegypti populations and the control, considering the application of adulticides and larvicides, using actual data from the city of Lavras/Brazil. The operator splitting technique is used to solve the diffusion-reaction system, coupling finite difference and the fourth-order Runge-Kutta method and optimal solutions were searched by using the Real-Biased Genetic Algorithm and Non-dominated Sorting Genetic Algorithm -II. Numerical results show significant reduction of the Aedes aegypti population.

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Section: Rainfall and Temperature Datamentioning

confidence: 99%

Section: Mono-objective Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Multiobjective Optimization Application to Control the Aedes Aegypti Mosquito using a Two-Dimensional Diffusion-Reaction Model

Lima,

Vasconcelos,

Cardoso

2023

Trends Comput. Appl. Math.

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Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model

Vasconcelos

Lima

Cardoso

2023

Sci Rep

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Arboviruses, diseases transmitted by arthropods, have become a significant challenge for public health managers. The World Health Organization highlights dengue as responsible for millions of infections worldwide annually. As there is no specific treatment for the disease and no free-of-charge vaccine for mass use in Brazil, the best option is the measures to combat the vector, the Aedes aegypti mosquito. Therefore, we proposed an epidemiological model dependent on temperature, precipitation, and humidity, considering symptomatic and asymptomatic dengue infections. Through computer simulations, we aimed to minimize the amount of insecticides and the social cost demanded to treat patients. We proposed a case study in which our model is fitted with real data from symptomatic dengue-infected humans in an epidemic year in a Brazilian city. Our multiobjective optimization model considers an additional control using larvicide, adulticide, and ultra-low volume spraying. The work’s main contribution is studying the monetary cost of the actions to combat the vector demand versus the hospital cost per confirmed infected, comparing approaches with and without additional control. Results showed that the additional vector control measures are cheaper than the hospital treatment without the vector control would be.

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Optimal control of Aedes aegypti using rainfall and temperature data

Cited by 2 publications

References 39 publications

A Multiobjective Optimization Application to Control the Aedes Aegypti Mosquito using a Two-Dimensional Diffusion-Reaction Model

A Multiobjective Optimization Application to Control the Aedes Aegypti Mosquito using a Two-Dimensional Diffusion-Reaction Model

Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model

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