P-562. Tracking the Increase: Diagnostic Trends in Infectious Disease Among New Patients at a Large Urban Safety Net Health System, New York City (NYC) 2021-2023
Eliana Jacobson, Zeyu Li, Remle Newton-Dame, Coral Naomi Vargas-Pena, Maurice Policar, Christina Coyle, Justin Chan

TL;DR
This study tracks rising infectious disease diagnoses among new patients at NYC's largest public health system from 2021 to 2023.
Contribution
The paper identifies specific infectious diseases with increased diagnosis rates in vulnerable populations, highlighting potential public health needs.
Findings
Tuberculosis, strongyloidiasis, and malaria diagnoses increased significantly from 2021 to 2023.
Among children under 18, tuberculosis, lice, and pinworm diagnoses rose sharply.
Pregnant patients showed increased diagnoses of chlamydia, syphilis, and trichomonas.
Abstract
NYC Health + Hospitals (H+H), the nation’s largest municipal health system, provides healthcare to a large proportion of uninsured and socially vulnerable persons, including those newly arrived to the city. Diagnostic trends among new H+H patients can reveal insights in emerging demands on primary and specialty healthcare services. We aim to describe recent trends in infectious disease diagnoses among patients who recently initiated care at H+H.Table 1:Characteristics of annual cohorts of patients new to NYC Health + Hospitals, New York City 2021-2023Table 2a:Frequency of infectious diseases diagnoses (by ICD-10-CM codes) made in the 12 months after new engagement with NYC Health + Hospitals, New York City 2021-2023Overall cohort Characteristics of annual cohorts of patients new to NYC Health + Hospitals, New York City 2021-2023 Frequency of infectious diseases diagnoses (by ICD-10-CM…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData-Driven Disease Surveillance · Zoonotic diseases and public health · Emergency and Acute Care Studies
