Accounting for regional transmission variability and the impact of malaria control interventions in Ghana: a population level mathematical modelling approach.

ABSTRACT:

Background

This paper investigates the impact of malaria preventive interventions in Ghana and the prospects of achieving programme goals using mathematical models based on regionally diverse climatic zones of the country.

Methods

Using data from the District Health Information Management System of the Ghana Health Service from 2008 to 2017, and historical intervention coverage levels, ordinary non-linear differential equations models were developed. These models incorporated transitions amongst various disease compartments for the three main ecological zones in Ghana. The Approximate Bayesian Computational sampling approach, with a distance based rejection criteria, was adopted for calibration. A leave-one-out approach was used to validate model parameters and the most sens

SUBMITTER: Awine T 

PROVIDER: S-EPMC7684904 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature