How does the CDC’s PulseNet system primarily track foodborne illnesses?
Answer
Using DNA fingerprinting of isolated bacteria
The CDC's PulseNet system functions based on the principles of molecular epidemiology. Its core mechanism involves collecting biological samples from sick individuals, isolating bacteria from those samples, and then performing DNA fingerprinting, which often involves whole-genome sequencing. This precise molecular data allows investigators to establish definitive links between seemingly disparate cases, confirming connections retrospectively after lab confirmation and sequencing protocols have been completed. This process contrasts sharply with proactive detection systems that aim to identify the initial cluster before sufficient samples are even available for molecular analysis.

Related Questions
What primary data source powers the University of Pittsburgh's Outbreak Detection System (ODS)?How does the CDC’s PulseNet system primarily track foodborne illnesses?What detection goal distinguishes modern systems like Pitt ODS from CDC PulseNet?Which individual was part of the team implementing the Pitt ODS utilizing EHR data?What generally triggers an alarm in a statistical outbreak detection system?Which three classic epidemiological characteristics do computer models check in real-time data streams?Beyond the algorithm, what engineering challenge is critical for successful deployment of systems like ODS?What complementary operational invention is required alongside algorithmic triggers for ODS success?What key capability do modern AI/ML systems offer that simpler, rule-based systems might miss?What does the text suggest is the true 'invention' regarding systems processing high volumes of healthcare data?