Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Development and validation of a vero cell-based suspension method for the detection of Zika virus

Bibliographic Data

ID15533954
AuthorsDina Popuche (0000-0002-4729-7599, United States Naval Medical Research Unit SOUTH, corresponding author), Alfredo Huaman (0000-0003-3491-2318, United States Naval Medical Research Unit SOUTH), Steev Loyola (0000-0001-5455-2423, Universidad Peruana Cayetano Heredia), M E V Silva (0000-0003-4310-2173, United States Naval Medical Research Unit SOUTH), S Jenkins (0000-0002-4696-285X, Naval Medical Research Command), Carolina Guevara (0000-0001-5112-6074, United States Naval Medical Research Unit SOUTH)
Year2023
Volume40
Issue3
Pages297-306
Publication date2023-09-26
Open AccessYes
TypeARTICLE
VenueRevista Peruana de Medicina Experimental y Salud Pública (JOURNAL)
Journal identifiersISSN: 1726-4634 • E-ISSN: 1726-4642
PublisherNational Institute of Health of Peru (PUBLISHER • PE)
DOI10.17843/rpmesp.2023.403.12606
PMID37991033
OpenAlexW4387398599
LanguageEN
Citations received1
References cited2

The cell suspension method has the potential to be an effective method for cultivating and isolating ZIKV and its application is potentially useful in both research and clinical settings

Biology · Suspension (topology · Vero cell · Virus · Zika virus · Mathematics · Mosquito-borne diseases and control · Viral Infections and Outbreaks Research · Virology and Viral Diseases · Virology

  • Development and validation of a vero cell-based suspension method for the detection of Zika virus

    Open Access•Dina Popuche, Alfredo Huaman et al.•Revista Peruana de Medicina…•2023

  • Development and validation of a vero cell-based suspension method for the detection of Zika virus

    Open Access•Dina Popuche, Alfredo Huaman et al.•Revista Peruana de Medicina…•2023

Citations per year0.33
Citation span2023 - 2023 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae