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Multivariate time-series analysis of biomarkers from a dengue cohort offers new approaches for diagn...

Multivariate time-series analysis of biomarkers from a dengue cohort offers new approaches for diagn...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2424467757

Multivariate time-series analysis of biomarkers from a dengue cohort offers new approaches for diagnosis and prognosis

About this item

Full title

Multivariate time-series analysis of biomarkers from a dengue cohort offers new approaches for diagnosis and prognosis

Publisher

United States: Public Library of Science

Journal title

PLoS neglected tropical diseases, 2020-06, Vol.14 (6), p.e0008199-e0008199

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Dengue is a major public health problem worldwide with distinct clinical manifestations: an acute presentation (dengue fever, DF) similar to other febrile illnesses (OFI) and a more severe, life-threatening form (severe dengue, SD). Due to nonspecific clinical presentation during the early phase of dengue infection, differentiating DF from OFI has...

Alternative Titles

Full title

Multivariate time-series analysis of biomarkers from a dengue cohort offers new approaches for diagnosis and prognosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2424467757

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2424467757

Other Identifiers

ISSN

1935-2735,1935-2727

E-ISSN

1935-2735

DOI

10.1371/journal.pntd.0008199

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