Journal article

Modelling the impact of an HIV testing intervention on HIV transmission among men who have sex with men in China

Ross D Booton, Jason J Ong, Amy Lee, Aifeng Liu, Wenting Huang, Chongyi Wei, Weiming Tang, Wei Ma, Peter Vickerman, Joseph D Tucker, Kate M Mitchell

HIV MEDICINE | WILEY | Published : 2021

Abstract

OBJECTIVES: An intervention developed through participatory crowdsourcing methods increased HIV self-testing among men who have sex with men [MSM; relative risk (RR) = 1.89]. We estimated the long-term impact of this intervention on HIV transmission among MSM in four cities (Guangzhou, Shenzhen, Jinan and Qingdao). METHODS: A mathematical model of HIV transmission, testing and treatment among MSM in China was parameterized using city-level demographic and sexual behaviour data and calibrated to HIV prevalence, diagnosis and antiretroviral therapy (ART) coverage data. The model was used to project the HIV infections averted over 20 years (2016-2036) from the intervention to increase self-test..

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University of Melbourne Researchers

Grants

Awarded by National Key Research and Development Program of China


Awarded by NIH


Awarded by European Union


Awarded by Australian National Health and Medical Research Council


Funding Acknowledgements

This work was funded by the National Key Research and Development Program of China (2017YFE0103800) and the NIH (NIAID 1R01AI114310). RDB and KMM also acknowledge the MRC Centre for Global Infectious Disease Analysis, which is jointly funded by the UK Medical Research Council (MRC) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement and is also part of the EDCTP2 programme supported by the European Union (MR/R015600/1). JJO was funded by the Australian National Health and Medical Research Council (APP1104781). PV also acknowledges the UK National Institute of Health Research-funded Health Protection Research Unit in Evaluation of Interventions at the University of Bristol.