Allocative efficiency modelling to support National TB programs (Old ID 25074)
Role
Principal Investigator
Description
Tuberculosis (TB) has now been unequivocally identified as the world's leading infectious killer, with global control failing to make significant inroads into the huge burden of disease. TB in Australia is driven by this huge global burden, with around 60% of all TB cases occurring in our region and nearly 90% of Australia's cases occurring in the overseas born. Our group has an established track record of undertaking country-level simulations to better understand TB epidemiology and predict the effectiveness of programmatic interventions in the local context. These applications are linked to a program of theoretical and epidemiological research to improve understanding of TB transmission and strengthen model underpinnings. Recently, we have been working to develop our model into a flexible and robust platform by using principles of software engineering, including object-oriented and modular programming. This approach allows rapid adaptation of our tool ("AuTuMN") to new objectives without the need to modify many of the constituent modules. In this project, we will extend the AuTuMN structures to undertake country implementations in up to six additional countries, funded by The Global Fund Against AIDS, Malaria and tuberculosis (TGF). These countries are: Myanmar Timor L'este The Kingdom of Bhutan Cambodia The Philippines Sri Lanka This RFAF is an indicative budget, as airfares and other direct costs will only be paid upon submission of receipts. Additionally, TGF produces contracts in US dollar amounts so amounts below are subject to change. Which of the above countries elect to undertake this work has not yet been determineJCU will administer the grant but University of Melbourne and Monash University will send invoices for work undertaken as part of this grant.
Date
01 Dec 2017 - 30 Nov 2021
Project Type
CONTRACT_RESEARCH
Keywords
Tuberculosis;mathematical modelling;international health;disease simulation
Funding Body
The Global Fund
Amount
191260
Project Team
Steph Topp;Tanya Diefenbach-Elstob;Bosco Ho;Damon Eisen