The dynamic model to infection rate based on pooled samples

Abstract

In this thesis we will work on the real time estimation of infection rates in vectors. It uses the dynamic generalized linear model to estimate the rate of infection of theses vector that are put in different pools sizes. The proposed methodology used the data of the mosquitoes tested weekly during the months of June through October referring to the period of 2012 to 2019. These mosquitoes were taken from the Department of Health from Rhode Island, in the United States. The model found had a good adherence to the aforementioned data.