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11/25/2021 2:47:03 AM | Browse: 93 | Download: 264
Publication Name World Journal of Psychiatry
Manuscript ID 64269
Country China
Category Psychiatry
Manuscript Type Observational Study
Article Title Prevalence and clinical characteristics of COVID-19 in inpatients with schizophrenia in Wuhan, China
Manuscript Source Unsolicited Manuscript
All Author List Hong-Wei Sheng, Hong-Gang Wang, Chun-Zhi Wang, Jiang Wu, Li-Jian Huo, Ruo-Xi Wang, Yong-Jie Zhou and Xiang-Yang Zhang
Funding Agency and Grant Number
Corresponding Author Xiang-Yang Zhang, MD, PhD, N/A, N/A, CAS Key Laboratory of Mental Health, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing 10000, China. zhangxy@psych.ac.cn
Key Words Mental health; Schizophrenia; Inpatient; Epidemiology
Core Tip In contrast to many Western countries, China has maintained its large psychiatric hospitals. The prevalence and clinical characteristics of coronavirus disease 2019 (COVID-19) in inpatients with schizophrenia (SCZ) are unclear. Our aim was to assess the prevalence of COVID-19 among inpatients with SCZ and compare the infected to uninfected SCZ patients in a Wuhan psychiatric hospital. Two unexpected protective factors for COVID-19 among SCZ inpatients are smoking and clozapine treatment.
Citation Sheng HW, Wang HG, Wang CZ, Wu J, Huo LJ, Wang RX, Zhou YJ, Zhang XY. Prevalence and clinical characteristics of COVID-19 in inpatients with schizophrenia in Wuhan, China. World J Psychiatr 2022; 12(1): 140-150
Received
2021-02-13 17:32
Peer-Review Started
2021-02-13 17:37
To Make the First Decision
Return for Revision
2021-03-16 00:42
Revised
2021-03-29 00:43
Second Decision
2021-11-22 03:35
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2021-11-25 02:47
Articles in Press
2021-11-25 02:47
Publication Fee Transferred
Edit the Manuscript by Language Editor
2021-11-07 10:25
Typeset the Manuscript
2021-12-31 03:00
ISSN 2220-3206 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
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