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COVID-19 case selection flowchart:

Wendy Nieto-Gutierrez ; Jaid Campos-Chambergo ; Enrique Gonzalez-Ayala...
https://figshare.com/articles/figure/COVID-19_case_selection_flowchart_/25105041. , 2024

Link: https://doi.org/10.1371/journal.pgph.0002854.s004

RT Journal
T1 <Title>COVID-19 case selection flowchart</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25105041&Exemplar=1&LAN=DE
				
A1 Wendy Nieto-Gutierrez
A1 Jaid Campos-Chambergo
A1 Enrique Gonzalez-Ayala
A1 Oswaldo Oyola-Garcia
A1 Alberti Alejandro-Mora
A1 Eliana Luis-Aguirre
A1 Roly Pasquel-Santillan
A1 Juan Leiva-Aguirre
A1 Cesar Ugarte-Gil
A1 Steev Loyola
YR 2024
K1 Biotechnology
K1 Ecology
K1 Science Policy
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 three previous strategies
K1 enabling targeted interventions
K1 87 &# 8211
K1 86 &# 8211
K1 variables consistently included
K1 previously analyzed variables
K1 study offers insights
K1 retrospective cohort study
K1 machine learning models
K1 19 fatality within
K1 19 cases reported
K1 four prediction models
K1 develop prediction models
K1 validate using data
K1 19 fatality models
K1 study population consisted
K1 selected models derived
K1 models performed adequately
K1 nine peruvian provinces
K1 19 fatality
K1 prediction models
K1 nine provinces
K1 select variables
K1 study population
K1 study aimed
K1 models described
K1 peruvian population
K1 098 cases
K1 xlink ">
K1 world conditions
K1 surveillance system
K1 successfully created
K1 sensitivity analyses
K1 secondary analysis
K1 remaining 20
K1 random sample
K1 may aid
K1 lasso method
K1 increased risk
K1 identifying individuals
K1 hoc approach
K1 future studies
K1 findings contribute
JF https://figshare.com/articles/figure/COVID-19_case_selection_flowchart_/25105041
LK http://dx.doi.org/https://doi.org/10.1371/journal.pgph.0002854.s004
DO https://doi.org/10.1371/journal.pgph.0002854.s004
SF ELIB - SuUB Bremen

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