Related Experiment Video

Updated: Jul 24, 2025

Detecting Wolbachia Strain wAlbB in Aedes albopictus Cell Lines
08:08

Detecting Wolbachia Strain wAlbB in Aedes albopictus Cell Lines

Published on: June 1, 2022

2.1K

Threshold dynamics of a stochastic mathematical model for Wolbachia infections

Jin Yang1,2, Zhuo Chen1, Yuanshun Tan1

  • 1Department of Mathematics, Chongqing Jiaotong University, Chongqing, People's Republic of China.

Journal of Biological Dynamics
|July 7, 2023
PubMed

Keywords:
Dengue feverLyapunov functionergodicitypopulation replacement

More Related Videos

Maintaining Aedes aegypti Mosquitoes Infected with Wolbachia09:23

Maintaining Aedes aegypti Mosquitoes Infected with Wolbachia

Published on: August 14, 2017

14.3K
Wolbachia Bacterial Infection in Drosophila09:46

Wolbachia Bacterial Infection in Drosophila

Published on: February 25, 2007

7.6K

Related Concept Videos

Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
488
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
58.7K
Bacterial Growth Curve01:28

Bacterial Growth Curve

The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...
104
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
272