NEWS not generally know-developing
Presyndromic surveillance for improved detection of emerging public health threats
Abstract: Existing public health surveillance systems that rely on predefined symptom categories, or syndromes, are effective
at monitoring known illnesses, but there is a critical need for innovation in “presyndromic” surveillance that de-
tects biothreats with rare or previously unseen symptomology. We introduce a data-driven, automated machine
learning approach for presyndromic surveillance that learns newly emerging syndromes from free-text emergency
department chief complaints, identifies localized case clusters among subpopulations, and incorporates practi-
tioner feedback to automatically distinguish between relevant and irrelevant clusters, thus providing personal-
ized, actionable decision support. Blinded evaluations by New York City’s Department of Health and Mental
Hygiene demonstrate that our approach identifies more events of public health interest and achieves a lower
false-positive rate compared to a state-of-the-art baseline.
PDF link below
Measles, Mumps, Rubella Immunization and the Resurgence of Measles in America
Dr. Hotez shares his view of the current outbreak and the possible future of American vaccination standing.
https://www.acpjournals.org/doi/10.7326/ANNALS-25-01730
Weekly I.D. Updates
Dr. James Lawler weekly update on various infectious disease issues. Worth the listen.
https://www.unmc.edu/healthsecurity/health-emergencies/index.html
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