Preparedness. Detection. Response. Seven and a half weeks to learn how outbreaks are found, managed, and communicated — from IHR protocols to AI-driven epidemic intelligence.
Open to both undergraduate and graduate students. No prerequisites required — previous experience in public health and emergencies is an asset but not a requirement. Graduate students (HPS 559) complete additional analytic deliverables.
Nine capabilities — from mapping global health architecture to deploying AI for epidemic intelligence. Each one grounded in real operational frameworks.
Map roles, authorities, and data flows across IHR (2005), the 2024 amendments, JEE/SPAR, GHSA, and GOARN for a concrete jurisdiction.
Apply the 7-1-7 framework and outbreak timeliness metrics to compute detection, notification, and early-response intervals. Identify bottlenecks and propose fixes.
Run an end-to-end OSINT workflow — ingest, triage, verify — using platforms like EpiCore, EIOS, BEACON, HealthMap, and Global Flu View.
Integrate multimodal data through a One Health lens into decision briefs that recommend proportionate actions and the next best data source.
Design audience-specific message maps, maintain a rumor log, craft corrective messages, and track reach, comprehension, behavior uptake, and rumor-closure time.
Evaluate AI/ML opportunities and limits for public health emergencies — priority use cases, data needs, bias, privacy, and safety considerations.
Apply a One Health perspective specifying cross-sector roles (human, animal, environment) and information-sharing mechanisms for joint operations.
Write a proportionate risk-mitigation plan for a hypothetical study or response activity, mapping risks to safeguards consistent with IHR.
Communicate clearly with incident leadership, clinicians, media, and community using concise briefs, visuals, and plain-language summaries.
From global health architecture to your final emergency response plan — compressed, intensive, and built to mirror real operational tempo.
Three quizzes track your grasp of frameworks. The policy paper — your capstone — is where you prove you can build an emergency response plan.
Same core competencies. Graduate students go deeper — with analytic deliverables and an expanded policy paper scope.
Assistant Research Professor in Epidemiology and Biostatistics at the University of Arizona's Zuckerman College of Public Health. Leads the AI for Public Health Initiative and directs the Global Flu View participatory surveillance platform.
His work spans digital surveillance systems, proximity sensor networks in healthcare facilities, and AI-driven epidemic intelligence — the same tools and frameworks you will study in this course.
HPS 459/559 opens for registration on UAccess. Online, intensive, and built for people who want to be ready when it matters.