Dr Rima Shretta
Honorary Visiting Research Fellow
Dr Rima Shretta is an experienced global health expert, with over 20 years of experience in developing effective health system strategies to improve access to essential public health services.
Rima has widespread experience in providing technical assistance to over 25 countries in Africa and Asia in the areas of health systems strengthening, pharmaceutical management, economics and financing. She has extensive experience in measuring efficiency and cost-effectiveness of service delivery platforms, at various levels of the health system including developing methodologies for measuring value for money in healthcare service delivery.
She has worked with a range of donors, multilateral organizations, international NGOs, academia, country governments and other relevant stakeholders in the health sector.
Her current work focusses on using using real-world epidemiological and economic and financial evidence to support integrated strategies for multiple diseases to strengthen health systems, optimize efficiency and inform policy, .
Rima is a currently an Honorary Visiting Research Fellow collaborating closely with the Oxford Modelling for Global Health group based at the Big Data Big Data Institute, Li Ka Shing Centre for Health Information and Discovery at the University of Oxford. She is also a member of the recently created consortium of international modelers to address urgent in-country requests for modelling support to address the COVID-19 pandemic.
Potential health and economic impacts of dexamethasone treatment for patients with COVID-19
Águas R. et al, (2021), Nature Communications, 12
An analysis of the potential global impact of dosing regimen and rollout options for the ChAdOx1 nCoV-19 vaccine
Aguas R. et al, (2021)
Author Correction: Potential health and economic impacts of dexamethasone treatment for patients with COVID-19.
Águas R. et al, (2021), Nature communications, 12
Vaccinating the world against COVID-19: getting the delivery right is the greatest challenge.
Shretta R. et al, (2021), BMJ global health, 6
Modelling the COVID-19 pandemic in context: an international participatory approach.
Aguas R. et al, (2020), BMJ global health, 5