Nikita Nekliudov

I turn messy real-world data into impactful, policy-relevant insights and Lancet-level publications

Physician · RWE/HEOR Analyst · Senior Research Scientist

0 countries modeled

0M+ claims observations

0 publications

0+ citations

What I Do

RWE Study Design & Analysis

Turning fragmented claims and EHR data into defensible, decision-ready evidence

Global Health Modeling & Evidence Synthesis

Synthesizing multilingual, nonstandard data into policy-ready evidence

Cross-Functional & Cross-Cultural Communication

Translating complex epidemiology for diverse teams, markets, and stakeholders

Selected Publications

The Lancet

Inpatient hospital admission rates for 204 countries and territories, 1990–2023

Under Review · First Author

A systematic analysis for the Global Burden of Disease Study: age–sex–location–year estimates with full uncertainty intervals across 34 years and every major world region.

Stop COVID Cohort: Observational Study of 3,480 Patients (Sechenov University Hospital Network)

*Clinical Infectious Diseases · 2021 · Co-first Author
Directed a 50-person team building a 5,000-patient ICD-10-coded analytical database during COVID contributing individual-level effectiveness data to ISARIC and two international consortia.

Global age-sex-specific all-cause mortality and life expectancy, 1950–2023

The Lancet · 2025 · Contributing Collaborator (GBD 2023 Demographics Collaborators)
Part of the flagship Global Burden of Disease demographic estimation effort producing all-cause mortality and life expectancy estimates spanning 73 years and the full global population.

Experience & Education

Institute for Health Metrics and Evaluation (IHME), University of Washington

Postdoctoral Research Scientist, Clinical Informatics

Led global inpatient utilization modeling across 204 countries (1990–2023, by age and sex) from protocol to publication, integrating 1,315 data sources and a systematic review of 8,000+ government reports with six Bayesian modeling tools delivering the team’s first capstone paper (under review, The Lancet).
Owned the pipeline step producing modeled adjustments for 275 diseases and risk factors, processing 70M+ inpatient and claims observations across nine data sources in six countries (incl. CMS Medicare), introducing new validations, quality checks, and dashboard visualizations that improved disease burden estimate accuracy from hospital data across 60+ countries for the Global Burden of Disease Study (GBD) 2025 reducing anomalous estimates for 15 diseases.
Designed a novel healthcare system metric using stochastic frontier meta-analysis to quantify the efficiency of inpatient utilization in minimizing amenable mortality across 204 countries (1990–2023) enabling first-of-kind cross country efficiency benchmarking.

I.M. Sechenov First Moscow State Medical University

Project Coordinator, StopCOVID Longitudinal Cohort Study

Led electronic data capture of 3,480 EHR records from COVID-19 wards, mapping to ICD-10 per CDISC standards in collaboration with two global consortia (ISARIC, GBD) — producing the largest hospitalized COVID-19 cohort in Russia and a co-first-author publication in Clinical Infectious Diseases
Directed 90+ MD/PhD students and physicians to build EHR extraction and telephone-survey follow-up, generating 2,000+ patient records with 6- and 12-month longitudinal follow-up that underpinned two studies with 450+ combined citations.
Led Russia’s largest national cross-sectional survey on lockdown mental health 23,756 respondents, authoring a first-author JMIR publication (150+ citations) that identified vulnerable groups and effects of mitigation measures.

COMFA Consortium (Core Outcome Measures for Food Allergy)

Project Coordinator & Virtual Networking Support Manager

Authored a global consensus study protocol to establish a core outcome set harmonizing food allergy studies reducing research waste and resulting in the published COMFA core outcome set (Allergy, 2024).
Coordinated a 103 member global consortium across 43 countries, assisting with €500,000 grant reporting and convening meetings that drove 2-round Delphi consensus across
Led the systematic evidence synthesis, developing two search strategies and overseeing screening/extraction for two systematic reviews informing the Delphi process.

Education

Erasmus University Rotterdam

PhD Candidate, Public Health

University of Oxford

MSc, Global Health Science & Epidemiology

I.M. Sechenov First Moscow State Medical University

Doctor of Medicine (MD)

Philipps-University Marburg

DAAD Exchange Student, Universitätsklinikum Marburg-Gießen

Available for consulting engagements

Real-World Evidence Study Design & Analysis

Observational study design, claims/EHR/survey data analysis, survival/longitudinal analysis, inferential analyses, interactive dashboards, regulatory-grade population estimates. Relevant for RWE/HEOR pharmaepidemiology/biotech teams.

Global Health Modeling & Evidence Synthesis

Systematic reviews, meta-analyses, Delphi consensus processes, core outcome set development, and population-level modeling for policy-facing organizations and health agencies.

Analytical Infrastructure & Reproducible Workflows

Building or auditing R/Python analytical pipelines, implementing reproducible workflows (Git-based), and translating large-scale data into publication-ready or regulatory-ready outputs.

I work with pharma, biotech, and health-policy clients on a project basis, on problems that need someone who can hold both the clinical reasoning and the statistical rigor in the same conversation. I am direct about what I can deliver and transparent about the strengths and limitations of any approach, and my focus is on producing evidence that is reproducible and actually used.