HHS · no agency ID · record R0673

Genetic distance computation method for comparing complex multi-locus parasite (Cyclospora) genotypes

Department of Health and Human Services · HHS/CDC

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2019-09 (month precision)Source: Sep-19
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Health and Medical
Operational functions: Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

Investigating the similarity of infections for epidemiologic investigations of cyclosporiasis outbreaks. The method enables clustering and comparison of complex genotypes, which are too large and complex for traditional methods, to identify related infections during outbreak tracking.

Expected benefits

The AI enables analysis of massive genotype datasets, facilitating rapid and accurate identification of infection clusters. This supports epidemiologic investigations and traceback for cyclosporiasis and other parasites, improving outbreak response and public health interventions.

System outputs

The system outputs genetic distance matrices and clusters of closely related infections, based on comparisons of haplotypes from clinical samples. These outputs are used to complement epidemiologic investigations and traceback activities.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): AMD (Advanced Molecular Detection Scientific Computing Platform)
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: Cyclospora sequence data generated by CDC, State Public Health Labs, and the Public Health Agency of Canada, following a CDC-developed protocol for 8 genotyping markers. All CDC and State Public Health Labs sequence data are publicly available via NCBI (see below).
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported