HHS · no agency ID · record R0658

Malaria parasites DNA barcode geography classification

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: 2023-07 (month precision)Source: Jul-23
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Health and Medical
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

To complement epidemiologic investigations of domestic malaria cases by determining the geographic origin of malaria parasite strains, helping to understand how the strain entered the US.

Expected benefits

This AI supports epidemiological investigations by providing rapid, automated classification of malaria parasite genotypes to geographic origins. This enhances the ability to track and respond to malaria cases, especially those domestically acquired, and supports public health interventions. For more information, see the manuscript:?https://journals.asm.org/doi/full/10.1128/aac.01203-24

System outputs

The AI examines a sequence barcode/genotype and assigns the malaria parasite genotype to a geographic origin (e.g., continent or subregion).

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: Data used are a mixture of data generated at CDC and other data available publicly. CDC data: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA428490/ https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1092573/ https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1110244 Non-CDC data: https://apps.malariagen.net/apps/pf7/ Travel histories from case patients were used to assess model performance (see manuscript:?https://journals.asm.org/doi/full/10.1128/aac.01203-24)
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