Mental State of Inpatients With COVID-19: A Computational Psychiatry Approach.

ABSTRACT:

Background

The overload of healthcare systems around the world and the danger of infection have limited the ability of researchers to obtain sufficient and reliable data on psychopathology in hospitalized patients with coronavirus disease 2019 (COVID-19). The relationship between severe acute respiratory syndrome with the coronavirus 2 (SARS-CoV-2) infection and specific mental disturbances remains poorly understood.

Aim

To reveal the possibility of identifying the typology and frequency of psychiatric syndromes associated with acute COVID-19 using cluster analysis of discrete psychopathological phenomena.

Materials and methods

Descriptive data on the mental state of 55 inpatients with COVID-19 were obtained by young-career physicians. Classification of observed clini

SUBMITTER: Sorokin MY 

PROVIDER: S-EPMC9021726 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature