Flávia Fonseca Bagno

Author

Universidade Federal de Minas Gerais ORCID

Also Known As

F. F. Bagno, Flavia F Bagno, Flavia F. Bagno, Flavia Fonseca Bagno, Flávia Bagno, Flávia F Bagno, Flávia F. Bagno, Flávia Fonseca Bagno

Publications

184

Citations

H-Index

Concepts

All Affiliations

Universidade Federal de Minas Gerais Fundação Oswaldo Cruz Universidade de São Paulo

About

Flávia Fonseca Bagno is an author at Universidade Federal de Minas Gerais specializing in medicine, virology, and immunology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	2	2	55
2	Immunology	1	1	33
3	Covid-19	1	1	33
4	Flavivirus	1	1	22
5	Vaccination	1	1	33

Flávia Fonseca Bagno

Publications

116

Citations

H-Index

Page 1

	Year	Citations
Detecting anti–SARS-CoV-2 antibodies in urine samples: A noninvasive and sensitive way to assay COVID-19 immune conversion Fernanda Ludolf, Fernanda F. Ramos, Flávia Fonseca Bagno, Science Advances VaccinationViral DiagnosticsCovid-19 Immune ConversionDiagnostic TestPaired Serum-based Elisa	2022	33
Chikungunya E2 Protein Produced in E. coli and HEK293-T Cells—Comparison of Their Performances in ELISA Flávia Fonseca Bagno, Lara Carvalho Godói, Maria Marta Figueiredo, Viruses	2020	23
Undetected Chikungunya virus co-infections in a Brazilian region presenting hyper-endemic circulation of Dengue and Zika Flávia Fonseca Bagno, Maria Marta Figueiredo, Jannely Villarreal, Journal of Clinical Virology Vector-borne PathogenVirus EpidemiologyBrazilian RegionHyper-endemic CirculationVirology	2019	22
The use of denaturing solution as collection and transport media to improve SARS-CoV-2 RNA detection and reduce infection of laboratory personnel Alex F. Carvalho, Raíssa Prado Rocha, Andreza Parreiras Gonçalves, Brazilian Journal of Microbiology	2021	15
Development and validation of an enzyme-linked immunoassay kit for diagnosis and surveillance of COVID-19 Flávia Fonseca Bagno, Sarah Aparecida Rodrigues Sérgio, Maria Marta Figueiredo, Journal of Clinical Virology Plus	2022	13
New, fast, and precise method of COVID-19 detection in nasopharyngeal and tracheal aspirate samples combining optical spectroscopy and machine learning Denny M. Ceccon, P. H. R. Amaral, Lídia M. Andrade, Brazilian Journal of Microbiology	2023	10

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