Public health researcher

Suman Sapkota, epidemiology and health statistics.

I design studies, analyze complex health datasets, and translate findings into policy-ready evidence for maternal, neonatal, equity, and health systems work.

Focus Maternal and neonatal health
Methods Survey analytics and field studies
Output Policy-ready evidence
Research profile Nepal-focused public health
Suman Sapkota
Field epidemiology Kathmandu, Nepal
Verified focus areas
  • Maternal and neonatal health DHS and MICS analyses in Nepal
  • Health service equity Wealth, caste/ethnicity, province, and access
  • Research reporting tools Forest plot and PRISMA/CONSORT generators
Publication focus Neonatal mortality stagnation

PLOS ONE (2025) study analyzing Nepal DHS 2016 and 2022 data on trends and underlying drivers of neonatal mortality stagnation.

01

Survey architecture

KoBo tools, facility data, field team training, and data quality assurance for maternal and newborn health studies.

02

Equity analytics

National survey analyses focused on antenatal care, institutional delivery, child nutrition, and health service access.

03

Publication tools

Browser-based forest plot and PRISMA/CONSORT tools for publication-ready research reporting.

How the work moves

From study question to usable evidence

01

Design the study

Develop research proposals, literature reviews, mixed-methods designs, survey tools, and field protocols.

02

Analyze the data

Work with complex survey and facility datasets using R, Stata, SPSS, Epidata, KoBo Toolbox, and visualization workflows.

03

Report the evidence

Translate findings into manuscripts, policy-ready summaries, reports, visuals, and stakeholder-facing outputs.