Machine learning on opioid-related data from Denver paramedics for improved surveillance

My contribution to the book “Public Health Informatics and Information Systems”

Monitoring opioid addiction and treatment: Do you know if your population is engaged?

A summer 2018 presentation at the Department of Biomedical Informatics, Emory University

Performance of a Large-Scale Implementation of a Participatory Influenza-Like-Illness Surveillance System in Guatemala

Tracking the opioid epidemic: novel data sources for monitoring and evaluation in Denver, Colorado

Will Participatory Syndromic Surveillance Work in Latin America? Piloting a Mobile Approach to Crowdsource Influenza-Like Illness Data in Guatemala

Modeling and testing maternal and newborn care mHealth interventions: a pilot impact evaluation and follow-up qualitative study in Guatemala.

Unaddressed privacy risks in accredited health and wellness apps: a cross-sectional systematic assessment

Smartphone apps for calculating insulin dose: a systematic assessment