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AI-Assisted COVID-19 Variant Detection in Wastewater

Accountable
Department of Health and Mental Hygiene (DOHMH)
Functional Modes
Deciding (Analytical AI)
Human decides
Purpose
Environmental Health
Input Dataset
About a measurement Anonymized data
Algorithm or Model
Clustering & Segmentation
Output Dataset
About a measurement Anonymized data
Details

This tool analyzes nucleotide sequences extracted from wastewater samples to identify and track COVID-19 variants circulating in New York City. It uses a sequence-alignment algorithm to merge, compare, and cluster genetic material, helping public health scientists detect emerging variants without collecting information about any individual. No personal or identifying information is used at any stage of the process.

Sources for this disclosure

This disclosure was drafted with AI assistance.

Schema: ai@2026-05-06-beta

NYC - DTPR AI Register

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