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Comparison of predictive models for hepatitis C co-infection among HIV patients in Cambodia

Comparison of predictive models for hepatitis C co-infection among HIV patients in Cambodia

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b912cf1a63d407c8309de5526c6eb4a

Comparison of predictive models for hepatitis C co-infection among HIV patients in Cambodia

About this item

Full title

Comparison of predictive models for hepatitis C co-infection among HIV patients in Cambodia

Publisher

England: BioMed Central Ltd

Journal title

BMC infectious diseases, 2020-03, Vol.20 (1), p.209-7, Article 209

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Hepatitis C virus (HCV) infection is a major global health problem. WHO guidelines recommend screening all people living with HIV for hepatitis C. Considering the limited resources for health in low and middle income countries, targeted HCV screening is potentially a more feasible screening strategy for many HIV cohorts. Hence there is an interest...

Alternative Titles

Full title

Comparison of predictive models for hepatitis C co-infection among HIV patients in Cambodia

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8b912cf1a63d407c8309de5526c6eb4a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b912cf1a63d407c8309de5526c6eb4a

Other Identifiers

ISSN

1471-2334

E-ISSN

1471-2334

DOI

10.1186/s12879-020-4909-z

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