scholarly journals Risk Perception Measurement and Influencing Factors of COVID-19 in Medical College Students

2021 ◽  
Vol 9 ◽  
Author(s):  
Shangren Qin ◽  
Mengqiu Zhou ◽  
Ye Ding
Keyword(s):  
College Students ◽  
Risk Perception ◽  
Influencing Factors ◽  
Prevention And Control ◽  
Clinical Medicine ◽  
Control Measure ◽  
Content Structure ◽  
Factors Affecting ◽  
Medical College ◽  
And Control

Purpose: In China, the coronavirus disease 2019 (COVID-19) pandemic has been under control and entered the normal prevention and control stage. For medical college students, many studies have analyzed their knowledge, risk perception, and prevention behaviors of COVID-19, but only a few pieces of research explore the content structure of COVID-19 risk perception and the influencing factors. This study measured the students' risk perception of COVID-19 and its dimensions and analyzed the influencing factors of risk perception among them.Methods: The online questionnaire survey was conducted at Hangzhou Medical College in Zhejiang Province among undergraduates and junior college students. A scale was formulated to precisely measure and analyze the COVID-19 risk perception among medical college students. The factors affecting the COVID-19 risk perception in medical college students were analyzed using the multivariate linear regression model.Results: A total of 810 medical students participated in the survey. Results show that COVID-19 risk perception among medical college students was divided into four dimensions: perceived health threat, perceived severity, perceived controllability, and perceived infection possibility. The results showed that income, education, major, and COVID-19 knowledge were the important factors affecting the COVID-19 risk perception of medical college students. Related factors have different influences on the various dimensions of COVID-19 risk perception. COVID-19 knowledge was significantly related to all dimensions of risk perception.Conclusion: This study evaluates the content structure of medical college students' risk perception of COVID-19 precisely and related influencing factors. It is necessary to grasp the risk perception, prevention, and control behaviors of medical college students of different backgrounds, education levels, and majors. Further knowledge training should be conducted for students majoring in clinical medicine, especially the pandemic prevention and control measure training to enhance their sense of security at work.

scholarly journals Network-Based Online Survey Exploring Self-Reported Depression Among University and College Students During the Early Days of the COVID-19 Outbreak

2021 ◽  
Vol 12 ◽  
Author(s):  
Yurong Jing ◽  
Wantong Han ◽  
Yali Wang ◽  
Jiao Zhang ◽  
Wenzhe Qin ◽  
...  
Keyword(s):  
College Students ◽  
Influencing Factors ◽  
Prevention And Control ◽  
Online Survey ◽  
Univariate Analysis ◽  
Depression Scale ◽  
Junior College ◽  
The Self ◽  
Depression Symptoms ◽  
And Control

Background: The psychology of university and college students is immature, they are thus more likely to suffer from depression due to the COVID-19 pandemic. The present study aims to investigate the self-reported depression status of Chinese university and college students and explore its influencing factors.Methods: We conducted a network-based online survey, and a total of 17,876 participants completed the questionnaire. Depression was measured by the Self-Rating Depression Scale (SDS). Univariate analysis and multivariate logistic analysis were performed to explore the influencing factors of self-reported depression symptoms.Results: The proportion of self-reported depression symptoms, mild self-reported depression symptoms, and moderate to severe (M/S) self-reported depression symptoms was 65.2, 53.7, and 11.5%, respectively. The mean score of self-reported depression was 54.8 ± 9.0. Female, personality type of partial introversion, junior college educational level, “moderate” or “high” self-perceived risk of infection, “moderately” or “highly” impacted by the outbreak, and being eager to go back to school were risk factors for M/S self-reported depression symptoms (p < 0.05). While, “moderate” or “high” concern about the outbreak, “moderate” or “high” satisfaction with pandemic prevention and control measures, and having health literacy on communicable diseases were protective factors for M/S self-reported depression symptoms (p < 0.05).Conclusion: The status of self-reported depression symptoms among university and college students was severer than expected, and the influencing factors were multifaceted. Government and school administrators should strengthen the dissemination of knowledge on disease prevention and control. Moreover, much attention should be paid to female and junior college students.

scholarly journals The Evolution Model of Public Risk Perception Based on Pandemic Spreading Theory under Perspective of COVID-19

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yi-Cheng Zhang ◽  
Zhi Li ◽  
Guo-Bing Zhou ◽  
Nai-Ru Xu ◽  
Jia-Bao Liu
Keyword(s):  
Public Health ◽  
Risk Perception ◽  
Social Order ◽  
Prevention And Control ◽  
Negative Impact ◽  
Control Measures ◽  
The Public ◽  
Public Health Emergencies ◽  
Public Risk ◽  
And Control

After the occurrence of public health emergencies, due to the uncertainty of the evolution of events and the asymmetry of pandemic information, the public’s risk perception will fluctuate dramatically. Excessive risk perception often causes the public to overreact to emergencies, resulting in irrational behaviors, which have a negative impact on economic development and social order. However, low-risk perception will reduce individual awareness of prevention and control, which is not conducive to the implementation of government pandemic prevention and control measures. Therefore, it is of great significance to accurately evaluate public risk perception for improving government risk management. This paper took the evolution of public risk perception based on the COVID-19 region as the research object. First, we analyze the characteristics of infectious diseases in the evolution of public risk perception of public health emergencies. Second, we analyze the characteristics of risk perception transmission in social networks. Third, we establish the dynamic model of public risk perception evolution based on SEIR, and the evolution mechanism of the public risk perception network is revealed through simulation experiments. Finally, we provide policy suggestions for government departments to deal with public health emergencies based on the conclusions of this study.

scholarly journals Prevalence of and Factors Associated With Depressive Symptoms Among College Students in Wuhan, China During the Normalization Stage of COVID-19 Prevention and Control

2021 ◽  
Vol 12 ◽  
Author(s):  
Jincong Yu ◽  
Ziyun Yang ◽  
Yuqin Wu ◽  
Ming Ge ◽  
Xuemei Tang ◽  
...  
Keyword(s):  
College Students ◽  
Logistic Regression ◽  
Online Learning ◽  
Depressive Symptoms ◽  
Prevention And Control ◽  
Psychological Intervention ◽  
Binary Logistic Regression ◽  
Factors Associated ◽  
And Control ◽  
At Home

Objectives: The 2019 coronavirus disease (COVID-19) epidemic has led to persistent negative psychological effects on the general public, especially on college students, who are highly susceptible to psychological difficulties, such as fear, anxiety, and depression. Little information is known about depressive symptoms among college students during the normalization stage of COVID-19 prevention and control in China. This study aimed to understand the prevalence of and factors associated with depressive symptoms after a long quarantine time and online learning at home among college students in Wuhan, China.Materials and Methods: A web-based survey was conducted from July to August 2020 during the Chinese summer holiday to collect data on sociodemographic variables, depressive symptoms, and their potential associated factors using an electronic questionnaire among college students in Wuhan, China. The Patient Health Questionnaire-9 (PHQ-9) was used to measure depressive symptoms. Binary logistic regression was used to explore the factors associated with depressive symptoms.Results: A total of 9,383 college students were included in the analysis. The prevalence of depressive symptoms was 15.8% (1,486/9,383) among college students. The binary logistic regression showed that the experience of being quarantined for observation or treatment, family members or friends dying of COVID-19, rarely or never seeking help from others, fewer supportive relatives or friends, less support from family in the past month, a worse relationship with parents at home, a longer time spent daily on electronic devices except for online learning, and feeling anxious in the face of returning to school were independently associated with a higher risk of depressive symptoms. Academic stress and concern about the epidemic were the main reasons for their anxiety.Conclusions: Targeted psychological intervention measures are recommended for college students to improve their mental health during the normalization stage of COVID-19 prevention and control.

Prevention and control of exposure

2013 ◽  
Author(s):  
Julia Smedley ◽  
Finlay Dick ◽  
Steven Sadhra
Keyword(s):  
Prevention And Control ◽  
Factors Affecting ◽  
Local Exhaust Ventilation ◽  
Exhaust Ventilation ◽  
Exposure Prevention ◽  
Factors Affecting Performance ◽  
And Control ◽  
Control Hierarchy ◽  
Ventilation Systems

Exposure prevention and control 634Control hierarchy: source, transmission, and individual 636Software/organizational solutions 638Hardware/engineering solutions 640General (dilution) ventilation 642Factors affecting performance of ventilation systems 643Local exhaust ventilation: assessing performance 646Recording the examination and testing of local exhaust ventilation plant ...

scholarly journals Can elevated concentrations of ALT and AST predict the risk of ‘recurrence’ of COVID-19?

2020 ◽  
Vol 148 ◽  
Author(s):  
L. Z. Chen ◽  
Z. H. Lin ◽  
J. Chen ◽  
S. S. Liu ◽  
T. Shi ◽  
...  
Keyword(s):  
Subgroup Analysis ◽  
Aspartate Aminotransferase ◽  
Alanine Aminotransferase ◽  
Prevention And Control ◽  
Clinical Symptoms ◽  
Concomitant Disease ◽  
Risk Of Recurrence ◽  
Tongji Medical College ◽  
Medical College ◽  
And Control

Abstract ‘Recurrence’ of coronavirus disease 2019 (COVID-19) has triggered numerous discussions of scholars at home and abroad. A total of 44 recurrent cases of COVID-19 and 32 control cases admitted from 11 February to 29 March 2020 to Guanggu Campus of Tongji Hospital affiliated to Tongji Medical College Huazhong University of Science and Technology were enrolled in this study. All the 44 recurrent cases were classified as mild to moderate when the patients were admitted for the second time. The gender and mean age in both cases (recurrent and control) were similar. At least one concomitant disease was observed in 52.27% recurrent cases and 34.38% control cases. The most prevalent comorbidity among them was hypertension. Fever and cough being the most prevalent clinical symptoms in both cases. On comparing both the cases, recurrent cases had markedly elevated concentrations of alanine aminotransferase (ALT) (P = 0.020) and aspartate aminotransferase (AST) (P = 0.007). Moreover, subgroup analysis showed mild to moderate abnormal concentrations of ALT and AST in recurrent cases. The elevated concentrations of ALT and AST may be recognised as predictive markers for the risk of ‘recurrence’ of COVID-19, which may provide insights into the prevention and control of COVID-19 in the future.

Cypermethrin induced toxicities in fish and adverse health outcomes: Its prevention and control measure adaptation

2018 ◽  
Vol 206 ◽  
pp. 863-871 ◽  
Author(s):  
Sana Ullah ◽  
Amina Zuberi ◽  
Mahmoud Alagawany ◽  
Mayada Ragab Farag ◽  
Maryam Dadar ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Prevention And Control ◽  
Control Measure ◽  
Adverse Health ◽  
Adverse Health Outcomes ◽  
And Control
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