Genetic Algorithm for Optimization of the Aedes Aegypti Control Strategies

Florentino, Helenice de Oliveira; Cantane, Daniela Renata; Santos, Fernando Luiz Pio dos; Reis, Célia Aparecida dos; Pato, Margarida Vaz; Jones, Dylan; Cerasuolo, Marianna; Oliveira, Rogério Antônio de; Lyra, Luiz G.

doi:10.1590/0101-7438.2018.038.03.0389

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…The life cycle of Aedes aegypti is explained in two phases: Aquatic phase involves Larvae and Pupae form; and Terrestrial Phase includes eggs and Adult stages. Because of its fastest adaptations to the new environment there is a high chance of occurrence of dengue outbreak and it should be considered as an important infection affecting public health (Helenice et al, 2018). The transmission of dengue virus is aided by mosquitoes by feeding on blood of infected persons.…”

Section: Mode Of Transmissionmentioning

confidence: 99%

Dengue Virus: Clinical Manifestations and Advances in Diagnosis, Treatment with a Special Focus on Strategies to Limit Mosquito Spread

Mathew¹,

Vani²,

Dey³

et al. 2019

J Pure Appl Microbiol

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Dengue is a viral disease that is transmitted by Aedes aegypti mosquito worldwide. It is globally prevalent and has no effective treatment till date. Approximately 50,000 people suffer from dengue annually, of which 10% of the total cases involved are due to dengue hemorrhagic fever. This creates a very distressing situation which puts forth a need for development of an effective anti-dengue agent to combat this epidemic infection. The use of bioinformatics tools, high performance computing and molecular modeling programs has been leading the advancements in designing and in silico searching of therapeutically active molecules that can be used against Dengue. For drug designing the bioinformatics is evolving the docking studies of NS3 pro and Envelope protein of DENV 2 and DENV 3 with new drug design tools that are available in public using Artificial Neutral Network (ANN) and Hidden Markov Model (HMM). Most chemical insecticides that are used for the eradication of mosquito vectors are not safe because of their harmful side effects to living organisms. This review focus about the various immunological manifestations of Dengue viral infection. There is a need of using biocontrol agents that includes the use of microorganisms, fishes and its metabolites for the elimination of vectors and dengue outbreaks.

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Section: Mode Of Transmissionmentioning

confidence: 99%

Dengue Virus: Clinical Manifestations and Advances in Diagnosis, Treatment with a Special Focus on Strategies to Limit Mosquito Spread

Mathew¹,

Vani²,

Dey³

et al. 2019

J Pure Appl Microbiol

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“…Florentino et al ( 2014 ) employed genetic algorithm to solve multi-objective optimal control models derived from a dynamical model of dengue virus epidemic. Florentino et al ( 2018 ) also used genetic algorithm to solve the optimal control model that aims to reduce Aedes mosquitoes through preventing breeding or spreading insecticides. Chaikham and Sawangtong ( 2018 ) used differential evolution to solve the optimal control model applied to curb the Zika virus outbreak.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 and Chikungunya: an optimal control model with consideration of social and environmental factors

Hezam

2022

J Ambient Intell Human Comput

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Chikungunya is one of the Aedes aegypti diseases that mosquito transmits to humans and that are common in tropical countries like Yemen. In this work, we formulated a novel dynamic mathematical model framework, which integrates COVID-19 and Chikungunya outbreaks. The proposed model is governed by a system of dynamic ordinary differential equations (ODEs). Particle swarm optimization was employed to solve the parameters estimation problem of the outbreaks of COVID-19 and Chikungunya in Yemen (March 1, 2020, to May 30, 2020). Besides, a bi-objective optimal control model was formulated, which minimizes the number of affected individuals and minimizes the total cost associated with the intervention strategies. The bi-objective optimal control was also solved using PSO. Five preventive measures were considered to curb the environmental and social factors that trigger the emergence of these viruses. Several strategies were simulated to evaluate the best possible strategy under the conditions and available resources in Yemen. The results obtained confirm that the strategy, which provides resources to prevent the transmission of Chikungunya and provides sufficient resources for testing, applying average social distancing, and quarrying the affected individuals, has a significant effect on flattening the epidemic curves and is the most suitable strategy in Yemen.

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Optimization of a rainfall dependent model for the seasonal Aedes aegypti integrated control: A case of Lavras/Brazil

Vasconcelos

Silva

Cardoso

et al. 2021

Applied Mathematical Modelling

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Genetic Algorithm for Optimization of the Aedes Aegypti Control Strategies

Cited by 5 publications

References 21 publications

Dengue Virus: Clinical Manifestations and Advances in Diagnosis, Treatment with a Special Focus on Strategies to Limit Mosquito Spread

Dengue Virus: Clinical Manifestations and Advances in Diagnosis, Treatment with a Special Focus on Strategies to Limit Mosquito Spread

COVID-19 and Chikungunya: an optimal control model with consideration of social and environmental factors

Optimization of a rainfall dependent model for the seasonal Aedes aegypti integrated control: A case of Lavras/Brazil

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