Last Updated: 01/09/2020
To screen or not to screen: an interactive framework for comparing costs of mass malaria treatment interventions
Objectives
The main goal is to outline a conceptual framework for comparing costs associated with mass drug administrations and mass screen and treat, based on the possible outcomes of each intervention and the costs associated with each outcome.
Once the comparative framework is validated by using hypothetical scenarios and probabilistic models, we aim to build an interactive web application which allows end-users to compare the expected intervention costs in each region within each country based on the inputted economic values, thereby extending these models into decision support tools which allow implementers to interact with the data and models directly.
Publicly available data from six countries in western Africa will be used to develop spatial-explicit probabilistic models to estimate intervention costs based on baseline malaria prevalence, diagnostic performance, and sociodemographic factors (age and urbanicity). In addition to comparing specific scenarios, we will develop interactive web applications which allow managers to select data sources and model parameters, and directly input their own cost values.
Jan 2020 — Jun 2020
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