Dr Anna Bowring
Senior Research Officer
Working groups
Background
Dr Anna Bowring is a public health researcher committed to informing impactful health programs serving vulnerable and marginalised populations in resource-limited settings. In particular, her work supports data use for program learning and impact with a focus on community-based interventions for HIV and blood-borne viruses among key populations.
During her postdoctoral fellowship she worked with partners from Johns Hopkins School of Public Health, CARE and community-based organisations to support the implementation of evidence-based HIV prevention, testing and treatment services for female sex workers and men who have sex with men in Cameroon.
Currently Anna supports Burnet Institute's Optima group on HIV and TB modelling applications and research.
Qualifications
- 2016: PhD, Monash University, Australia
- 2010: MPH, Monash University, Victoria, Australia
- 2007: BBiomedSci, Monash University, Australia
Positions
- 2021-present: Research Officer, Optima
- 2020: Optimise Project Manager (Data Collection), Burnet Institute
- 2019-2020: Technical advisor, CT2 Study extension, Burnet Institute
- 2016: coEC Project Manager, Burnet Institute
- 2010-2011, 2015-2016: ACCESS Coordinator (Primary Health Care Network), Burnet Institute
- 2010-2011: "Sex, drugs and rock’n’roll” Study coordinator, Burnet Institute
Burnet publications
View 43 moreEstablishing HIV transmission pathways in Bhutan: a modelling study
The Lancet Regional Health - Southeast Asia
Nisaa Wulan et al
Optimising TB investments in Belarus, Moldova, Kyrgyz Republic, Tajikistan and Uzbekistan: An allocative efficiency analysis
PLOS Global Public Health
Anna L. Bowring et al
Impact of an international HIV funding crisis on HIV infections and mortality in low-income and middle-income countries: a modelling study
The Lancet HIV
Debra Ten Brink et al
Current projects
Optima HIV modelling
Optima HIV is an open source mathematical modelling tool to help countries respond effectively to HIV.
Optima Tuberculosis modelling
Optima Tuberculosis is an open-source model to aid the fight against TB. It combines epidemiological and economic algorithms to find the best ways to optimise resources and reduce disease.
Hepatitis C modelling
Our modelling aims to help countries identify the most effective and cost-effective ways to eliminate hepatitis C as a public health threat.
