Predicting the cost of malaria elimination in the Asia-Pacific

Rima Shretta; Sheetal Silal; Lisa J White; Richard J Maude

doi:10.12688/wellcomeopenres.15166.1

Predicting the cost of malaria elimination in the Asia-Pacific

Wellcome Open Res. 2019 Apr 24:4:73. doi: 10.12688/wellcomeopenres.15166.1. eCollection 2019.

Authors

Rima Shretta^{1

2

3}, Sheetal Silal^{4

5

6}, Lisa J White^{6

7}, Richard J Maude^{6

7

8}

Affiliations

¹ Global Health Group, University of California, San Francisco, San Francisco, CA 94158, USA.
² Swiss Tropical and Public Health Institute, Basel 4002, Switzerland.
³ University of Basel, Basel 4001, Switzerland.
⁴ Modelling and Simulation Hub, Africa (MASHA), Department of Statistical Sciences, University of Cape Town, Rondebosch, Cape Town 7700, South Africa.
⁵ South African DST-NRF Centre of Excellence in Epidemiological Modelling and Analysis, Stellenbosch University, Cape Town, South Africa.
⁶ Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK.
⁷ Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Bangkok 10400, Thailand.
⁸ Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA.

Abstract

Over the past decade, the countries of the Asia-Pacific region have made significant progress towards the goal of malaria elimination by the year 2030. It is widely accepted that for the region to meet this goal, an intensification of efforts supported by sustained funding is required. However, robust estimates are needed for the optimal coverage and components of malaria elimination packages and the resources required to implement them. In this collection, a multispecies mathematical and economic modelling approach supported by the estimated burden of disease is used to make preliminary estimates for the cost of elimination and develop an evidence-based investment case for the region.

Keywords: Asia-Pacific; economics; elimination; investment case; malaria.

Publication types

Editorial

Grants and funding

This work was supported by the Wellcome Trust [106698]; the Asian Development Bank [TA-8763]; the Bill and Melinda Gates Foundation (BMGF) [OPP1089413]; and the Department of Foreign Affairs and Trade, Australian Government [71215].