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Characteristics and symptoms of false-negative and false-po..:

Leila F. Dantas (6482738) ; Igor T. Peres (6482744) ; Leonardo S. L. Bastos (10044482)...
https://figshare.com/articles/dataset/Characteristics_and_symptoms_of_false-negative_and_false-positive_users_predicted_from_our_model_/14310277. , 2021

Link: https://doi.org/10.1371/journal.pone.0248920.t002

RT Journal
T1 <Title>Characteristics and symptoms of false-negative and false-positive users predicted from our model</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14310277&Exemplar=1&LAN=DE
				
A1 Leila F. Dantas (6482738)
A1 Igor T. Peres (6482744)
A1 Leonardo S. L. Bastos (10044482)
A1 Janaina F. Marchesi (6482741)
A1 Guilherme F. G. de Souza (10451266)
A1 João Gabriel M. Gelli (10451269)
A1 Fernanda A. Baião (10451272)
A1 Paula Maçaira (10437858)
A1 Silvio Hamacher (2101099)
A1 Fernando A. Bozza (109324)
YR 2021
K1 Medicine
K1 Infectious Diseases
K1 Virology
K1 Computational Biology
K1 Biological Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 disease control
K1 testing programs
K1 SARS-CoV -2 testing strategy
K1 NPV
K1 SARS-Cov -2 infection
K1 false-negative users
K1 App-based symptom
K1 disease control strategies
K1 SARS-CoV -2 infection risk map
K1 prioritize users
K1 Background Tests
K1 retrospective analysis
K1 Brazilian app-based symptom tracker
K1 April 28
K1 self-reported symptoms
K1 Janeiro city
K1 model
K1 screening tool
JF https://figshare.com/articles/dataset/Characteristics_and_symptoms_of_false-negative_and_false-positive_users_predicted_from_our_model_/14310277
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0248920.t002
DO https://doi.org/10.1371/journal.pone.0248920.t002
SF ELIB - SuUB Bremen

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