Pasuparthi Uday

Master’s candidate in Health Economics with extensive experience in health economic research. Developed decision-analytic Markov models and contributed to HTA reports for the INSPIRE project, focusing on cost-effectiveness evaluations. Passionate about leveraging evidence synthesis to influence market access and healthcare decision-making.

• Certificate of short course on Universal Health Coverage, WHO
• Certificate from ISPOR of learning what is HEOR and HTA role in Health economics
• Systematic Reviews 101 Certificate of Completion, Elsevier Researcher Academy
• Presented on Economic Burden of Diabetes in Low-Income Populations in India, ICHTR, MAHE
• Certified in Systematic Review and Meta-Analysis, Johns Hopkins University (Coursera)
• Certified in Excel Basics for Data Analysis, IBM (Coursera)
• Certified in SQL: Practical Introduction for Querying Databases, IBM (Coursera)
• Certified in R programming for Economic Decision modelling, IBM (Coursera)

• Cost effectiveness and applications of Precision Medicine in LMICs: A Systematic review, Drafted a Systematic Review Protocol and conducted advanced database searches for relevant literature and used citation managers such as Zotero for screening and removal of duplicates. Completed data extraction in a custom developed domain-based template in Microsoft Excel.
• Epidemiological and economical Transitions in India- A Two-decade perspective on global burden of Non communicable diseases 2000-2024, Epidemiological Transition: Analyses the shift in India’s disease burden from communicable to non-communicable diseases between 2000–2024. Economic Impact: Evaluates how rising NCDs have influenced healthcare costs and economic productivity over the two decades.