scholarly journals Major Coping-behavior and Risk-perception Factors for the COVID-19 Pandemic and their Psychobehavioral Characteristics

2022 ◽  
Author(s):  
Yi Ding ◽  
Ryo Ishibashi ◽  
Tsuneyuki Abe ◽  
Akio Honda ◽  
Motoaki Sugiura

Coronavirus disease 2019 (COVID-19) has dramatically changed people’s behavior, to prevent infection and overcome the general adversity caused by the implementation of infection-prevention measures. Here, we investigated the main coping-behavior and risk-perception factors, and the underlying psychological mechanisms (e.g., psychobehavioral characteristics) of coping behavior. We recruited 2,885 Japanese participants (1,524 women, ages 20–91 years). First, we identified four coping-behavior factors (two related to infection and two related to general adversity) and three risk-perception factors (one related to medical aspects and two related to society). Second, we demonstrated that infection prevention was promoted by female sex and etiquette in the Power to Live scale. General-adversity coping behavior was facilitated by shortages of daily necessities. Thus, we identified four parsimonious coping-behavior factors, as well as the risk-perception factors and demographic and psychobehavioral characteristics that influenced them. These results will benefit strategic approaches to optimize the social response to the pandemic.

Author(s):  
Franziska Hommes ◽  
Welmoed van Loon ◽  
Marlene Thielecke ◽  
Igor Abramovich ◽  
Sascha Lieber ◽  
...  

Briefly before the first peak of the COVID-19 pandemic in Berlin, Germany, schools closed in mid-March 2020. Following re-opening, schools resumed operation at a reduced level for nine weeks. During this phase, we aimed at assessing, among students and teachers, infection status, symptoms, individual behaviour, and institutional infection prevention measures. Twenty-four primary and secondary school classes, randomly selected across Berlin, were examined. Oro-nasopharyngeal swabs and capillary blood samples were collected to determine SARS-CoV-2 infection (PCR) and specific IgG (ELISA), respectively. Medical history, household characteristics, leisure activities, fear of infection, risk perception, hand hygiene, facemask wearing, and institutional preventive measures were assessed. Descriptive analysis was performed. Among 535 participants (385 students, 150 staff), one teenager was found to be infected with SARS-CoV-2 (0.2%), and seven individuals exhibited specific IgG (1.3%). Compared to pre-pandemic times, screen time (e.g., TV, gaming, social media) increased, and the majority of primary school students reported reduced physical activity (42.2%). Fear of infection and risk perception were relatively low, acceptance of adapted health behaviors was high. In this post-lockdown period of low SARS-CoV-2 incidence in Berlin, individual and school-level infection prevention measures were largely adhered to. Nevertheless, vigilance and continued preventive measures are essential to cope with future pandemic activity.


2020 ◽  
Author(s):  
Ying Yan

UNSTRUCTURED The ongoing outbreak of SARS-CoV-2 infection was first identified in Wuhan, China at the late of 2019. Following the acceleration of the novel coronavirus spreading, person-person transmissions in family residences, hospitals and other public environments have led to a major public hazard in China. Currently, the SARS-CoV-2 outbreak has been further developed into a public health emergency of international concern. In response to an occurring pandemic, hospitals need an emergency strategy and plan to manage their space, staff, and other essential resources, therefore, to provide optimum care to patients involved. In addition, infection prevention measures urgently need to be implemented to reduce in-hospital transmission and avoid the occurrence of virus super-spreading. For hospitals without capacity to manage severe patients, a referral network is often needed. We present our successful field experience regarding hospital emergency management and local hospitals network model in response to SARS-CoV-2 emerging epidemic.


Author(s):  
Hui Liu ◽  
Jie Li ◽  
Hongyang Li ◽  
He Li ◽  
Peng Mao ◽  
...  

To reduce harm caused by occupational health risks of construction workers exposed to working environments, especially those for interior decoration, it is crucial for them to actively recognize and prevent these risks. Therefore, how to improve their occupational health risks perception and regulate their coping behaviors should be of great concern. However, most prior studies target construction worker safety, and little research focuses on risk analysis from the psychological level of workers. Hence, construction workers’ occupational health risk perception level and coping behavior level in Nanjing and the influencing factors were analyzed through statistical analysis with 341 valid questionnaires. Bootstrapping was applied to test the mediating effects of risk perception on the proposed factors and coping behaviors. This study revealed that construction workers have a high-level of occupational health risk perception, yet low-level coping behavior. Gender, age, education level, and unit qualification cause differences in individual risk perception level. Personal knowledge and group effects significantly affect the level of risk perception, which subsequently affect coping behavior. Education level, monthly income, and personal knowledge influence the coping behavior through risk perception. Recommendations were put forward for risk perception and coping behavior improvement from the perspectives of construction workers themselves, enterprises, and governments. This study sheds new light for research areas of occupational health and risk management and provides beneficial practice for improving construction workers’ responses to occupational health risks.


Author(s):  
Eliza R. Thompson ◽  
Faith S. Williams ◽  
Pat A. Giacin ◽  
Shay Drummond ◽  
Eric Brown ◽  
...  

Abstract Objective: To assess extent of a healthcare-associated outbreak of SARS-CoV-2 and evaluate effectiveness of infection control measures, including universal masking Design: Outbreak investigation including 4 large-scale point-prevalence surveys Setting: Integrated VA Health Care System with 2 facilities and 330 beds Participants: Index patient and 250 exposed patients and staff Methods: We identified exposed patients and staff and classified them as probable and confirmed cases based on symptoms and testing. We performed a field investigation and assessment of patient and staff interactions to develop probable transmission routes. Infection prevention interventions implemented included droplet and contact precautions, employee quarantine, and universal masking with medical and cloth facemasks. Four point-prevalence surveys of patient and staff subsets were conducted using real-time reverse-transcriptase polymerase chain reaction for SARS-CoV-2. Results: Among 250 potentially exposed patients and staff, 14 confirmed cases of Covid-19 were identified. Patient roommates and staff with prolonged patient contact were most likely to be infected. The last potential date of transmission from staff to patient was day 22, the day universal masking was implemented. Subsequent point-prevalence surveys in 126 patients and 234 staff identified 0 patient cases and 5 staff cases of Covid-19, without evidence of healthcare-associated transmission. Conclusions: Universal masking with medical facemasks was effective in preventing further spread of SARS-CoV-2 in our facility in conjunction with other traditional infection prevention measures.


Author(s):  
Elad Keren ◽  
Abraham Borer ◽  
Lior Nesher ◽  
Tali Shafat ◽  
Rivka Yosipovich ◽  
...  

Abstract Objective: To determine whether a multifaceted approach effectively influenced antibiotic use in an orthopedics department. Design: Retrospective cohort study comparing the readmission rate and antibiotic use before and after an intervention. Setting: A 1,000-bed, tertiary-care, university hospital. Patients: Adult patients admitted to the orthopedics department between January 2015 and December 2018. Methods: During the preintervention period (2015–2016), 1 general orthopedic department was in operation. In the postintervention period (2017–2018), 2 separate departments were created: one designated for elective “clean” surgeries and another that included a “complicated wound” unit. A multifaceted strategy including infection prevention measures and introducing antibiotic stewardship practices was implemented. Admission rates, hand hygiene practice compliance, surgical site infections, and antibiotic treatment before versus after the intervention were analyzed. Results: The number of admissions and hospitalization days in the 2 periods did not change. Seven-day readmissions per annual quarter decreased significantly from the preintervention period (median, 7 days; interquartile range [IQR], 6–9) to the postintervention period (median, 4 days; IQR, 2–7; P = .038). Hand hygiene compliance increased and surgical site infections decreased in the postintervention period. Although total antibiotic use was not reduced, there was a significant change in the breakdown of the different antibiotic classes used before and after the intervention: increased use of narrow-spectrum β-lactams (P < .001) and decreased use of β-lactamase inhibitors (P < .001), third-generation cephalosporins (P = .044), and clindamycin (P < .001). Conclusions: Restructuring the orthopedics department facilitated better infection prevention measures accompanied by antibiotic stewardship implementation, resulting in a decreased use of broad-spectrum antibiotics and a significant reduction in readmission rates.


2021 ◽  
Vol 6 (1) ◽  
pp. e004068
Author(s):  
Po Man Tsang ◽  
Audrey Prost

BackgroundMany countries aiming to suppress SARS-CoV-2 recommend the use of face masks by the general public. The social meanings attached to masks may influence their use, but remain underinvestigated.MethodsWe systematically searched eight databases for studies containing qualitative data on public mask use during past epidemics, and used meta-ethnography to explore their social meanings. We compared key concepts within and across studies, then jointly wrote a critical synthesis.ResultsWe found nine studies from China (n=5), Japan (n=1), Mexico (n=1), South Africa (n=1) and the USA (n=1). All studies describing routine mask use during epidemics were from East Asia. Participants identified masks as symbols of solidarity, civic responsibility and an allegiance to science. This effect was amplified by heightened risk perception (eg, during SARS in 2003), and by seeing masks on political leaders and in outdoor public spaces. Masks also acted as containment devices to manage threats to identity at personal and collective levels. In China and Japan, public and corporate campaigns framed routine mask use as individual responsibility for disease prevention in return for state- or corporate-sponsored healthcare access. In most studies, mask use waned as risk perception fell. In contexts where masks were mostly worn by patients with specific diseases (eg, for patients with tuberculosis in South Africa), or when trust in government was low (eg, during H1N1 in Mexico), participants described masks as stigmatising, uncomfortable or oppressive.ConclusionFace masks can take on positive social meanings linked to solidarity and altruism during epidemics. Unfortunately, these positive meanings can fail to take hold when risk perception falls, rules are seen as complex or unfair, and trust in government is low. At such times, ensuring continued use is likely to require additional efforts to promote locally appropriate positive social meanings, simplifying rules for use and ensuring fair enforcement.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Maria Chiara De Nardo ◽  
Anna Rita Bellomo ◽  
Francesca Perfetti ◽  
Francesco Antonino Battaglia ◽  
Miriam Lichtner ◽  
...  

Abstract Background Since last year, COVID-19, the disease caused by the novel Sars-Cov-2 virus, has been globally spread to all the world. COVID-19 infection among pregnant women has been described. However, transplacental transmission of Sars-Cov-2 virus from infected mother to the newborn is not yet established. The appropriate management of infants born to mothers with confirmed or suspected COVID-19 and the start of early breastfeeding are being debated. Case presentation We report a case of the joint management of a healthy neonate with his mother tested positive for Covid-19 before the delivery and throughout neonatal follow-up. The infection transmission from the mother to her baby is not described, even after a long period of contact between them and breastfeeding. Conclusion It may consider an appropriate practice to keep mother and her newborn infant together in order to facilitate their contact and to encourage breastfeeding, although integration with infection prevention measures is needed.


2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Yuling Hong ◽  
Qishan Zhang

Purpose. The purpose of this article is to predict the topic popularity on the social network accurately. Indicator selection model for a new definition of topic popularity with degree of grey incidence (DGI) is undertook based on an improved analytic hierarchy process (AHP). Design/Methodology/Approach. Through screening the importance of indicators by the deep learning methods such as recurrent neural networks (RNNs), long short-term memory (LSTM), and gated recurrent unit (GRU), a selection model of topic popularity indicators based on AHP is set up. Findings. The results show that when topic popularity is being built quantitatively based on the DGI method and different weights of topic indicators are obtained from the help of AHP, the average accuracy of topic popularity prediction can reach 97.66%. The training speed is higher and the prediction precision is higher. Practical Implications. The method proposed in the paper can be used to calculate the popularity of each hot topic and generate the ranking list of topics’ popularities. Moreover, its future popularity can be predicted by deep learning methods. At the same time, a new application field of deep learning technology has been further discovered and verified. Originality/Value. This can lay a theoretical foundation for the formulation of topic popularity tendency prevention measures on the social network and provide an evaluation method which is consistent with the actual situation.


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