The mathematical component behind population models is widely applied in order to understand the ecology of diseases. Population modelling is concerned with the changes in parameters such as population size and age distribution within a population. This might be due to interactions with the environment, individuals of their own species, or other species

Population Modelling

Population modelling use mathematical models to help us better understand the dynamics of how complex interactions and biological processes work. For example, modeling of vectors and hosts dynamic interactions can provide a manageable way of understanding how their numbers change over time or in relation to each other as well as infection transfer between populations. Population models are used to understand the spread of parasites, viruses, and disease.

Course Content

Lecture on Basic Applied Mathematics Refresher course, Introduction to Population Modelling Concepts, Bacteria Growth Model, Single Species Population Model,  Lotka-Volterra competition Model, 2 or more species, with harvesting, Prey Predator Model, Leslie Matrices and Age-structured Models, Epidemiological SIR Models (Modelling wildlife diseases), Project approach: Ecological Niche Models for Biodiversity conservation.

Practical sessions on MatLab installation and testing, quick start with programming in MatLab, R installation and testing, quick start with programming in R, Practical on modelling using difference equations in Excel, Practical on ENM using MAXENT as well as Practical on introduction to QGIS