Dr. Anamika Pandey is a Research Scientist at the Public Health Foundation of India with about 15 years of experience in health research. Dr. Pandey is passionate about conducting impactful research that provides robust evidence and recommendations to strengthen public health policies and practices addressing critical public health issues.
Her main research areas of interest include sub-national disease burden estimation, inequality analysis, ageing, malnutrition, and air pollution. She is proficient in managing large-scale data, utilising advanced analytical techniques for quantitative analysis, and interpreting complex health data. Dr. Pandey has made significant contributions to data scrutiny, methods examination, and review of findings for various topics as part of the Global Burden of Disease (GBD) work in India under the India State-level Disease Burden Initiative, including air pollution, child and maternal malnutrition, child growth failure, and child mortality.
Dr. Pandey was awarded the GBD Emerging Researcher Award in 2021 for her work on disease burden research in India and was featured in the Institute for Health Metrics and Evaluation GBD collaborator spotlight video and interview in 2023. She has published in various peer-reviewed journals and is listed in the Stanford Mendeley Database of the top 2% most cited global scientists.
Dr. Pandey obtained her PhD in Epidemiology and Population Health from the London School of Hygiene and Tropical Medicine, as part of the PHFI-UKC Wellcome Trust Capacity Building Programme. She holds a master’s degree in Economics from Banaras Hindu University and in Population Studies from the International Institute for Population Sciences, Mumbai, India. Previously, she has served as a Research Officer at the International Institute for Population Sciences, Mumbai.
PHFI
- PHFI
Ageing, air pollution, disease burden estimation, geospatial mapping, child and maternal malnutrition, child mortality, disability, gender disparity in health, and inequality analysis.
- Adolescent Health
- Neonatal Health and Child Health
- Ageing
- Research Methods
- Statistical Modelling