An Algorithmic Approach to Children's Gastroenteritis in SARS-CoV-2 Epidemic: Iranian Expert's Consensus Statement

(2021) An Algorithmic Approach to Children's Gastroenteritis in SARS-CoV-2 Epidemic: Iranian Expert's Consensus Statement. Archives of Pediatric Infectious Diseases. ISSN 2322-1828

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Abstract

Diarrhea and vomiting with or without fever are common symptoms in children, while one of the most common clinical findings of Coronavirus disease 2019 (COVID-19) is gastrointestinal symptoms. Therefore, there is a need to develop an algorithm for dealing with a patient with gastroenteritis in the SARS-CoV-2 epidemic.

Item Type: Article
Keywords: SARS-Cov-2 Gastroenteritis Algorithmic Approach Children COVID-19
Subjects: WS Pediatrics
Divisions: Research Institute for Primordial Prevention of Non-communicable Disease > Child Growth and Development Research Center
Journal or Publication Title: Archives of Pediatric Infectious Diseases
Journal Index: ISI
Volume: 9
Number: 3
Identification Number: https://doi.org/10.5812/pedinfect.108635
ISSN: 2322-1828
Depositing User: Zahra Otroj
URI: http://eprints.mui.ac.ir/id/eprint/14585

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