While working at a state health department, our existing influenza surveillance relied on passive reporting, leading to delayed outbreak detection.

I was tasked with proposing an active, electronic reporting system and securing buy‑in from hospital administrators, clinicians, and the state health director.

I gathered data on timeliness gaps, built a cost‑benefit model, presented pilot results from a neighboring county, and organized workshops to address concerns about workflow and data privacy.

The stakeholders approved a phased rollout; within six months, reporting lag dropped from 14 days to 3 days, and we identified two seasonal spikes earlier, enabling timely public health interventions.

During a multi‑state measles outbreak, I was the lead epidemiologist coordinating case‑finding while the lab was overwhelmed with COVID‑19 testing.

Balance rapid case verification, contact tracing, and public communication without compromising data integrity or ethical standards.

I instituted a triage protocol prioritizing high‑risk contacts, delegated data entry to trained interns, secured an emergency IRB amendment for expedited data sharing, and held daily briefings with the lab and communications team to align expectations.

We confirmed 87% of suspected cases within 48 hours, traced 1,200 contacts, and reduced secondary transmission by 30% compared with the previous year’s outbreak.