Dispersive models describing mosquitoes’ population dynamics

Yamashita, William M. S.; Takahashi, Lucy Tiemi; Chapiro, Grigori

doi:10.1088/1742-6596/738/1/012065

Cited by 2 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This would require a parametrization both of hydrology and water-use practices, tied to geographical variables. Adding in the life cycle and dynamics of arthropod vectors such as mosquitoes to the dynamics of infected agents allows the modelling of vector-borne diseases such as malaria and dengue [62][63][64][65]. Mosquitoes could also be modelled as agents [66,67], but a more practical description might be in terms of dynamical fields which interact with, and are modified by, the presence of human agents [66,68].…”

Section: Discussionmentioning

confidence: 99%

BharatSim: An agent-based modelling framework for India

Cherian,

Kshirsagar,

Neekhra

et al. 2023

Preprint

View full text Add to dashboard Cite

BharatSim is an open-source agent-based-modelling framework for the Indian population. It can simulate populations at multiple scales, from small communities to states. BharatSim uses a synthetic population created by applying statistical methods and machine learning algorithms to survey data from multiple sources, including the Census of India, the India Human Development Survey, the National Sample Survey, and the Gridded Population of the World. This synthetic population defines individual agents with multiple attributes, among them age, gender, home and work locations, pre-existing health conditions, and socio-economic and employment status. BharatSim's domain-specific language provides a framework for the simulation of diverse models. Its computational core, coded in Scala, supports simulations of a large number of individual agents, up to 50 million. Here, we describe the design and implementation of BharatSim, using it to address three questions motivated by the COVID-19 pandemic in India: (i) When can schools be safely reopened given specified levels of hybrid immunity?, (ii) How do new variants alter disease dynamics in the background of prior infections and vaccinations? and (iii) How can the effects of varied non-pharmaceutical interventions (NPIs) be quantified for a model Indian city? Through its India-specific synthetic population, BharatSim allows disease modellers to address questions unique to this country. It should also find use in the computational social sciences, potentially providing new insights into emergent patterns in social behaviour.

show abstract

Section: Discussionmentioning

confidence: 99%

BharatSim: An agent-based modelling framework for India

Cherian,

Kshirsagar,

Neekhra

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…We are interested in an urban spatial scale, where diffusion represents the dispersion of the mosquitoes due to autonomous and random movements of the winged females. To simplify the vital biological dynamics of mosquitoes we follow [ 5 , 16 , 17 ] and consider two subpopulations: a winged and mobile form (mature female mosquitoes); and an aquatic and static form, which includes eggs, larvae and pupae. At each space point ( x , y ) and time t , the spatial density of the winged phase and aquatic phase are denoted by M ( x , y , t ) and A ( x , y , t ), respectively.…”

Section: Methodsmentioning

confidence: 99%

“…This approach presents difficulties due to mosquitoes’ erratic movement that is similar to the diffusion process. Some authors [ 5 , 14 – 17 ] took diffusion into account and studied one-dimensional spatial population dynamics of Ae. aegypti using partial differential equations (PDEs) describing the life-cycle of the mosquito Ae.…”

Section: Introductionmentioning

confidence: 99%

“…A numerical study was carried out to relate the speed of wave fronts and different crucial parameters associated with the dengue modeling. This approach was further extended in [ 16 , 17 ], where a rigorous analysis of the model proposed in [ 5 ] was performed. However, one-dimensional models do not support realistic scenarios like topography.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Numerical modeling of mosquito population dynamics of Aedes aegypti

2018

View full text Add to dashboard Cite

BackgroundThe global incidences of dengue virus have increased the interest in studying and understanding the mosquito population dynamics. It is predominantly spread by Aedes aegypti in the tropical and sub-tropical countries in the world. Understanding these dynamics is important for public health in countries where climatic and environmental conditions are favorable for the propagation of these diseases. For this reason, a new model has been proposed to investigate the population dynamics of mosquitoes in a city.MethodsThe present paper discusses the numerical modeling of population dynamics of Ae. aegypti mosquitoes in an urban neighborhood of a city using the finite volume method. The model describes how populations spread through the city assisted by the wind. This model allows incorporating external factors (wind and chemical insecticides) and topography data (streets, building blocks, parks, forests and beach). The proposed model has been successfully tested in examples involving two Brazilian cities (City center, Juiz de Fora and Copacabana Beach, Rio de Janeiro).ResultsInvasion phenomena of Ae. aegypti mosquitoes have been observed in each of the simulations. It was observed that, inside the blocks, the growth of the population for both winged and aquatic phase causes an infestation of Ae. aegypti in a short time. Within the blocks the mosquito population was concentrated and diffused slowly. In the streets, there was a long-distance spread, which was influenced by wind and diffusion with a low concentration of mosquito population. The model was also tested taking into account chemical insecticides spread in two different configurations. It has been observed that the insecticides have a significant effect on the mosquito population for both winged and aquatic phases when the chemical insecticides spread more uniformly along all the streets in a neighborhood of a city.ConclusionsThe presented methodology can be employed to evaluate and to understand the epidemic risks in a specific region of the city. Moreover the model allows an increase in efficiency of the existing mosquito population control techniques and to theoretically test new methods before involving the human population.Electronic supplementary materialThe online version of this article (10.1186/s13071-018-2829-1) contains supplementary material, which is available to authorized users.

show abstract

Dispersive models describing mosquitoes’ population dynamics

Cited by 2 publications

References 4 publications

BharatSim: An agent-based modelling framework for India

BharatSim: An agent-based modelling framework for India

Numerical modeling of mosquito population dynamics of Aedes aegypti

Contact Info

Product

Resources

About