Featured
2025
Technical Whitepaper · v2.4
Open Source
Financial Health Barometer: 2025 Methodology & Data Architecture
FinMango Research Team
FinMango Technical Whitepaper (v2.4)
The whitepaper documents the data pipeline behind the Financial Health Barometer — a composite index combining Google Health Trends conditional probabilities, BLS and Census administrative data, and state-level housing and credit signals. We detail indicator construction, normalization choices, and the reasoning behind four composite tiers (Low → High).
2023
Am. J. of Health Education
7 authors
Peer-reviewed
The Mango Model: Best Practices in the Creation of a COVID-19 Open Data Project Through a Partnership with Google Health and the Non-Profit FinMango
Oscar Wahltinez, Scott Glasgow, Aurora Cheung, James F. Glasgow, Martin Noguera, James W. Glasgow & Pamela Neidert Hoalt
American Journal of Health Education
A practitioner's account of how a nonprofit-tech partnership can produce globally useful public-health data. We describe the decisions, missteps, and governance structures behind a dataset that ultimately spanned 22,579 locations across 190+ countries — and argue that the partnership model, not the tooling, is what made it scale.
2022
Nature · Scientific Data
12 authors
Open Access
COVID-19 Open-Data: A global-scale spatially granular meta-dataset for coronavirus disease
Oscar Wahltinez, Aurora Cheung, Ruth Alcantara, Donny Cheung, Mayank Daswani, Anthony Erlinger, Matt Lee, Pranali Yawalkar, Paula Lê, Ofir Picazo Navarro, Michael P. Brenner & Kevin Murphy
Nature (Scientific Data)
A harmonized, spatially granular meta-dataset covering epidemiology, hospitalization, mobility, policy, and demographic data across 190+ countries — updated daily throughout the pandemic. The paper documents the schema, sourcing strategy, and reconciliation logic used to merge thousands of heterogeneous government feeds into a single, queryable resource.
