US CDC COVID-19 data-reporting system delays
US public-health officials struggled throughout 2020 to get timely, complete COVID-19 case and testing data, with some jurisdictions still relying on fax machines and incompatible legacy systems to report data to the CDC.
The damage was public. The root cause was preventable.
US public-health officials struggled throughout 2020 to get timely, complete COVID-19 case and testing data, with some jurisdictions still relying on fax machines and incompatible legacy systems to report data to the CDC.
What the software actually got wrong
GAO found the nation's disease-surveillance data infrastructure had for years relied on outdated, fragmented state and local systems that were never modernized to exchange data quickly or in standardized formats, so the CDC's own systems could not compile a fast, complete national picture during the pandemic surge.
GAO found the nation's disease-surveillance data infrastructure had for...
GAO found the nation's disease-surveillance data infrastructure had for years relied on outdated, fragmented state and local systems that were never modernized to exchange data quickly or in standardized formats, so the CDC's own systems could not compile a fast, complete national picture during the pandemic surge.
Requs AI Edge Case flags this exact pattern at the requirements and architecture stage — before a single line of code implementing it exists — so the assumption behind it gets challenged while it is still cheap to fix.
Beyond code coverage and "shall" testing
Root causes like this one rarely show up in code coverage or requirements-compliance testing, because nobody wrote a requirement anticipating the specific edge case that broke. Requs AI Edge Case and Requs AI Software FMEA are built to surface exactly this class of overlooked failure mode — before the software is written.
Surfaces this before code exists
Identifies edge cases like this one at requirements and architecture time, using the Common Defect Enumeration to catalog failure patterns seen across hundreds of real-world software failures — including this one.
Connects the failure mode to the hazard
Traces this class of root cause directly to the system-level hazard it can produce, so a defect pattern like this one gets flagged during design review instead of after it ships.
Find the overlooked root causes before they ship.
Schedule a demonstration, or explore how Requs AI Edge Case and Software FMEA use the Common Defect Enumeration.