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Computational study of a co-infection model of HIV/AIDS and hepatitis C virus models

Computational study of a co-infection model of HIV/AIDS and hepatitis C virus models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_edbbf8995e554b5da2b2e04af618690e

Computational study of a co-infection model of HIV/AIDS and hepatitis C virus models

About this item

Full title

Computational study of a co-infection model of HIV/AIDS and hepatitis C virus models

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-12, Vol.13 (1), p.21938-21938, Article 21938

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Hepatitis C infection and HIV/AIDS contaminations are normal in certain areas of the world, and because of their geographic overlap, co-infection can’t be precluded as the two illnesses have a similar transmission course. This current work presents a co-infection model of HIV/AIDS and Hepatitis C virus with fuzzy parameters. The application of fuzz...

Alternative Titles

Full title

Computational study of a co-infection model of HIV/AIDS and hepatitis C virus models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_edbbf8995e554b5da2b2e04af618690e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_edbbf8995e554b5da2b2e04af618690e

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-48085-6

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