Evidence-Based Prediction of COVID-19 Severity in Hospitalized Children
Evidence-Based Prediction of COVID-19 Severity in Hospitalized Children
About this item
Full title
Author / Creator
Armin, Shahnaz , Mirkarimi, Mohammadreza , Pourmoghaddas, Zahra , Tariverdi, Marjan , Shamsizadeh, Ahmad , Alisamir, Mohsen , Mohammadian, Maryam , Rahmati, Mohammad Bagher , Rafiei Tabatabaei, Sedigheh , Mansour Ghanaiee, Roxana , Fahimzad, Seyed Alireza , Yaraghi, Ayeh , Hoseini-Alfatemi, Seyedeh Mahsan , Marhamati, Noushin , Esmaeili Tarki, Farzad , Shirvani, Armin and Karimi, Abdollah
Publisher
India: Hindawi
Journal title
Language
English
Formats
Publication information
Publisher
India: Hindawi
Subjects
More information
Scope and Contents
Contents
Objective. In this study, by using clinical and paraclinical characteristics, we have aimed to predict the severity of the disease in hospitalized COVID-19 children. Method. This cross-sectional study was conducted on medical records about epidemiologic data, underlying diseases, symptoms, and laboratory tests from March to October, 2020, on 238 ho...
Alternative Titles
Full title
Evidence-Based Prediction of COVID-19 Severity in Hospitalized Children
Authors, Artists and Contributors
Author / Creator
Mirkarimi, Mohammadreza
Pourmoghaddas, Zahra
Tariverdi, Marjan
Shamsizadeh, Ahmad
Alisamir, Mohsen
Mohammadian, Maryam
Rahmati, Mohammad Bagher
Rafiei Tabatabaei, Sedigheh
Mansour Ghanaiee, Roxana
Fahimzad, Seyed Alireza
Yaraghi, Ayeh
Hoseini-Alfatemi, Seyedeh Mahsan
Marhamati, Noushin
Esmaeili Tarki, Farzad
Shirvani, Armin
Karimi, Abdollah
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9159143
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9159143
Other Identifiers
ISSN
1368-5031
E-ISSN
1742-1241
DOI
10.1155/2022/1918177
