A prediction model of risk factors for complications among SARS-CoV2 positive patients: Cases from Jordan | Zendy

Mohanad Odeh | Zendy; Rami Al Qaissieh | Zendy; Amjed A. Tarifi | Zendy; Muna Kilani | Zendy; Ramzy Tadros | Zendy; Abedrazzaq I. Al khashman | Zendy; Karem H. Alzoubi | Zendy

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A prediction model of risk factors for complications among SARS-CoV2 positive patients: Cases from Jordan

Author(s) -

Mohanad Odeh,

Rami Al Qaissieh,

Amjed A. Tarifi,

Muna Kilani,

Ramzy Tadros,

Abedrazzaq I. Al khashman,

Karem H. Alzoubi

Publication year - 2021

Publication title -

journal of infection and public health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.983

H-Index - 35

eISSN - 1876-035X

pISSN - 1876-0341

DOI - 10.1016/j.jiph.2021.02.010

Subject(s) - medicine , logistic regression , intensive care unit , body mass index , pneumonia , septic shock , mechanical ventilation , statistical significance , covid-19 , diabetes mellitus , sepsis , emergency medicine , disease , infectious disease (medical specialty) , endocrinology

The number of COVID-19 infected patients has been soaring in the Middle East countries. The disease poses a significant threat, decisions about prioritizing care should be made in accordance with the proven risk factors for complications.

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