microscopIA will provide participants with structured training in the data dictionary, data-source hierarchy, extraction procedures, source documentation, quality-control workflow, data-quality flags, and project database architecture.
Participants are nevertheless expected to self-manage routine operational work. The five-member participant team will distribute countries, territories, data domains, validation tasks, and quality-control responsibilities internally.
The participant team must select one member as Team Leader. The Team Leader will coordinate task distribution, monitor progress, consolidate unresolved issues, and present periodic progress reports to the Principal Investigators.
Participant activities will include:
extracting country-year sociodemographic data;
extracting macroeconomic indicators;
extracting health-expenditure and financing indicators;
extracting population-health and mortality indicators;
extracting DALY, YLL, YLD, and related disease-burden variables where permitted;
extracting health-system indicators;
extracting selected inequality and social-context variables for secondary analyses;
documenting every source, year, unit, definition, transformation, currency, price year, and access date;
maintaining source provenance;
applying standardized data-quality flags;
identifying unavailable observations without inventing values;
independently verifying critical variables;
resolving discrepancies between independent extractions;
maintaining source, change, and quality-control logs;
supporting reproducible acquisition through official APIs or structured downloads where available;
contributing to database cleaning and validation;
contributing to methodological interpretation;
contributing to preparation of scientific outputs and manuscripts according to documented contribution.
Critical country-level variables should undergo independent verification by two researchers, with discrepancies formally resolved and recorded.
The project is expected to generate:
A longitudinal country × year global database.
A harmonized economic dataset.
A harmonized health-expenditure dataset.
A sociodemographic dataset.
A health-outcomes dataset.
A DALY/GBD dataset where data-use conditions permit.
A health-system indicators dataset.
A selected inequality and social-context dataset.
Complete source provenance for every variable.
Data-quality flags distinguishing observed, source-modeled, interpolated, study-imputed, and unavailable observations.
A reproducible source hierarchy and data dictionary.
Country-level quality grades.
A global master results table.
Country-specific decision-threshold profiles.
Separate QALY and DALY-averted monetary threshold estimates with uncertainty.
Clinical-priority threshold analyses.
Country and global maps.
A monetary net benefit calculator or equivalent decision-support specification.
Reproducible R and/or Python code.
Scientific manuscripts addressing the methodological framework, global thresholds, clinical-priority framework, and translational NMB approach.
The methodological programme anticipates outputs including a primary methods paper, a global country-specific threshold paper, a clinical-priority framework, and a translational NMB framework.
Health Economics
Methodological Investigation
Jorge Racedo at microscopIA
Applicants may include physicians, medical students, biomedical or health researchers, epidemiologists, and other candidates with a relevant clinical or research background.
Applicants must:
Be fluent in Spanish.
Have documented training or formal coursework in biostatistics.
Be able to contribute to statistical analysis under Jorge Racedo's supervision.
Have strong attention to research documentation and participant confidentiality.
Be available during the protocol-development phase and the prospective data-collection period.
Be able to collaborate with pediatric ophthalmology and retina specialists.
Have reliable internet access for remote project activities.
Availability for approximately 3–5 hours per week.
Experience in neonatology, pediatrics, ophthalmology, clinical epidemiology, nutrition, or clinical trials is desirable.
Any Country
Data Collection, Data Curation, Data Validation, Database Development, Data Quality Control, Literature Review, Conference Presentation, Poster Preparation
5
English
The project will critically reproduce and extend the international framework developed by Pichon-Riviere and colleagues for country-specific cost-effectiveness thresholds.
The methodological programme requires replication of selected published country estimates before introducing extensions, and explicitly evaluates limitations including macro-level aggregation, endogeneity, omitted-variable bias, health-system inefficiency, temporal instability, health-expenditure composition, health-output measurement, intervention heterogeneity, equity, affordability, and opportunity cost.
Core reference
Pichon-Riviere A, Drummond M, Palacios A, Garcia-Marti S, Augustovski F. Determining the efficiency path to universal health coverage: cost-effectiveness thresholds for 174 countries based on growth in life expectancy and health expenditures. The Lancet Global Health. 2023.- microscopIA will provide structured training in the tasks required to conduct the study.
28 de septiembre de 2026 a las 0:00:00
30 de septiembre de 2026
1 de octubre de 2026
20 de diciembre de 2026
Each participant may declare a maximum of two institutional affiliations.
Every affiliation must follow:
Department, Organization (Hospital, University, Company), City, Country.microscopIA will cover approved publication fees associated with the anticipated regional manuscript.
Participants will not be required to personally pay approved article-processing charges.
Memberships are reinvested to pay microscopIA staff (epidemiologists, engineers, data scientists) salaries and to cover the publication fees for the resulting manuscripts. This maintain our work neutral, financially self-sustainable, and without any existing conflict of interest to maintain rigor and integrity in evidence generation.