About
I am a public health researcher with more than fifteen years of experience applying epidemiological and biostatistical methods across academia, research, and national public health programs. My current work centers on mathematical modeling of infectious diseases, epidemic forecasting, and excess mortality estimation. Earlier in my career I worked on maternal and child health, health disparities, and program evaluation, often with multidisciplinary teams across several countries.
Education
Experience
Excess mortality estimation, mathematical modeling of infectious disease, and geospatial analysis.
Analysis of intervention study data and co-authorship of resulting publications.
Coordinated two school-based public health interventions.
Led monitoring and evaluation across the organization's public health projects.
Patient outcomes, claims data, client satisfaction surveys, and grant writing support.
Taught undergraduate epidemiology, biostatistics, and research methods.
Selected publications
- 2026 Subedi RK, Mamelund SE, Delgado I, Matute I, Laborde CC, Joaquin-Damas E, Chowell G. Poverty and ethnic patterns in COVID-19 excess mortality: evidence from Chile, 2020–2022. American Journal of Epidemiology, 195(4):1136–1146.
- 2024 Subedi RK, VanderZanden A, Adhikari K, Bastola S, Hirschhorn LR, Binagwaho A, Maskey M. Integrated Management of Childhood Illness implementation in Nepal: understanding strategies, context, and outcomes. BMC Pediatrics, 23(Suppl 1):645.
- 2024 Ntawukuriryayo JT, VanderZanden A, Amberbir A, Teklu A, Huda FA, Maskey M, Sall M, Garcia PJ, Subedi RK, Sayinzoga F, Hirschhorn LR. Inequity in the face of success: understanding geographic and wealth-based equity in success of facility-based delivery for under-5 mortality reduction in six countries. BMC Pediatrics, 23(Suppl 1):651.
- 2024 Binagwaho A, VanderZanden A, Garcia PJ, Huda FA, Maskey M, Sall M, Sayinzoga F, Subedi RK, Teklu AM, Donahoe K, Frisch M. Cross-country analysis of contextual factors and implementation strategies in under-5 mortality reduction in six low- and middle-income countries, 2000–2015. BMC Pediatrics, 23(Suppl 1):652.
- 2023 Vatsa R, Ghimire U, Sapkota S, Subedi RK. Spatial distribution of stunting and wasting in 6–59 month children in Nepal: analysis using a Bayesian distributional bivariate probit model. Journal of Nutritional Science, 12:e25.
- 2022 Acharya K, Dharel D, Subedi RK, Bhattarai A, Paudel YR. Inequalities in full vaccination coverage based on maternal education and wealth quintiles among children aged 12–23 months: further analysis of national cross-sectional surveys of six South Asian countries. BMJ Open, 12(2):e046971.
- 2021 Dahal S, Luo R, Subedi RK, Dhimal M, Chowell G. Transmission dynamics and short-term forecasts of COVID-19: Nepal 2020/2021. Epidemiologia, 2(4):639–659.
- 2021 Acharya K, Subedi RK, Dahal S, Karkee R. Basic emergency obstetric and newborn care service availability and readiness in Nepal: analysis of the 2015 Nepal Health Facility Survey. PLOS ONE, 16(7):e0254561.
- 2021 Lama Yonzon C, Padmawati RS, Subedi RK, Paudel S, Ghimire A, Murhandarwati EH. Exploring determinants of hydrocele surgery coverage related to lymphatic filariasis in Nepal: an implementation research study. PLOS ONE, 16(2):e0244664.
- 2020 Conway K, Akseer N, Subedi RK, Brar S, Bhattarai B, Dhungana RR, Islam M, Mainali A, Pradhan N, Tasic H, Thakur DN. Drivers of stunting reduction in Nepal: a country case study. The American Journal of Clinical Nutrition, 112:844S–859S.
Open-source software
Estimation and short-term forecasting of the time-varying reproduction number.
Epidemiologic measures that show every intermediate step, so students can check work done by hand. Covers 2×2 measures, stratified analysis, and Mantel–Haenszel adjustment.
Phenomenological growth-model fitting for outbreak data, with parametric bootstrap uncertainty, forecast scoring, and identifiability screening.
Complex survey analysis with Taylor-linearization variance — means, totals, domain estimation, regression, and survival models. Validated against R's survey package on NHANES and DHS designs.
Interactive tools
Draw a causal diagram in the browser and export dagitty code.
doi:10.5281/zenodo.20058009Direct and indirect age standardization with editable age groups.
doi:10.5281/zenodo.20068581Upload data, fit a model, and read the output alongside a plain-English reading of it.
doi:10.5281/zenodo.20148664Fit outbreak data to growth models and explore R₀, serial interval, and doubling time.
doi:10.5281/zenodo.20138554Languages
R, Python, SAS, MATLAB, Julia, QGIS