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Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Usi...

Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Usi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_51a0fe50d697498fb7009b37ce20e5e2

Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Using Machine Learning Methods and Statewide Surveillance Data in Washington State

About this item

Full title

Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Using Machine Learning Methods and Statewide Surveillance Data in Washington State

Publisher

Switzerland: MDPI

Journal title

Viruses, 2020-01, Vol.12 (2), p.142

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI

More information

Scope and Contents

Contents

Molecular cluster detection can be used to interrupt HIV transmission but is dependent on identifying clusters where transmission is likely. We characterized molecular cluster detection in Washington State, evaluated the current cluster investigation criteria, and developed a criterion using machine learning. The population living with HIV (PLWH) i...

Alternative Titles

Full title

Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Using Machine Learning Methods and Statewide Surveillance Data in Washington State

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_51a0fe50d697498fb7009b37ce20e5e2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_51a0fe50d697498fb7009b37ce20e5e2

Other Identifiers

ISSN

1999-4915

E-ISSN

1999-4915

DOI

10.3390/v12020142

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