Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...

Modeling with Differential Equations

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Assessing the potential impact of grasshopper outbreaks on Patagonian wetlands through mathematical modelling.

Scientific reports·2025

Same author

Infection fronts in randomly varying transmission-rate media.

Physical review. E·2024

Same author

Design and Development of a Family of Integrated Devices to Monitor Animal Movement in the Wild.

Sensors (Basel, Switzerland)·2023

Same author

Meteorological indicators of dengue epidemics in non-endemic Northwest Argentina.

Infectious Disease Modelling·2022

Same author

Effects of the COVID-19 pandemic in higher education: A data driven analysis for the knowledge acquisition process.

PloS one·2022

Same author

Study of taxes, regulations and inequality using machine learning algorithms.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2022

Search research articles

Related Experiment Video

Updated: Jul 13, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Mosquito populations and human social behavior: A spatially explicit agent-based model.

Ana Alicia Gramajo¹, Karina Laneri¹, María Fabiana Laguna¹

¹Statistical and Interdisciplinary Physics Group, Centro Atómico Bariloche and CONICET, R8402AGP Bariloche, Argentina.

Physical Review. E

|October 21, 2022

Summary

Understanding human behavior is key to controlling Aedes aegypti mosquitoes, the main dengue vector. Non-synchronized water container disposal and random delays are more effective for mosquito population control in urban environments.

More Related Videos

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Published on: May 31, 2020

Related Experiment Videos

Last Updated: Jul 13, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Published on: May 31, 2020

Area of Science:

Vector-borne disease ecology
Mathematical modeling of populations
Urban entomology

Background:

Mosquitoes, particularly Aedes aegypti, transmit diseases like dengue.
Aedes aegypti thrives in urban settings, breeding in artificial containers.
Effective vector control requires understanding human behavior related to container disposal.

Purpose of the Study:

To develop a model simulating Aedes aegypti populations considering human behavior.
To assess the impact of different water container disposal strategies on mosquito populations.
To identify optimal parameters for dengue vector control campaigns.

Main Methods:

Developed a population model incorporating mosquito biology and human behavior.
Incorporated parameters for water container disposal effectiveness, frequency, and delay.
Performed extensive numerical simulations to analyze population dynamics.

Main Results:

An effectiveness threshold was identified for significantly limiting mosquito dispersal.
Non-synchronized container disposal was more efficient than synchronized disposal.
Random delays in container availability proved more effective than fixed delays, mimicking real-world behavior.

Conclusions:

Human behavior significantly influences Aedes aegypti population dynamics.
Non-synchronized and random disposal strategies are more effective for mosquito control.
The model provides insights for designing targeted and realistic dengue prevention campaigns.