The Effect of the Covid-19 Pandemic on Mental Health (Children, Adolescents, Young Adults) and Mental Health Service: Systematic Review

The impact of the COVID-19 pandemic on mental health in young age groups (chil-dren, adolescents, and young adults) has a higher prevalence than individuals at other stages of the lifecycle. The implementation of mental health services faces more barriers to professional care than in the pre-pandemic period. This study aims to identify the effect of sociodemographic and Public Health and Sosial Measures on the mental health of young age groups and mental health services during the COV-ID-19 pandemic. We conducted a mixed-methods-integrated approach to synthesize the findings and drew results using mixed-methods analysis. Literature finding was conducted in seven databases. The selection procedure followed the f low diagram of the Preferred Reporting Items for Systematic Review and Meta-Analyses. Inclusion criteria included all types of research that looked at the impact of COVID-19 on mental health and mental health services. There are 44 articles included, and the quality assessment shows that the study was evaluated as 80% and 100% quality criteria met. During the implementation of Public Health and Social Measures, the young age group experienced mental health problems, including stress, depression, anxiety, sleeping disorder, eating disorder, and post-traumatic stress disorder related to socioeconomic status, academic, and social factors. This systematic review proves that the COVID-19 pandemic affects the mental health of the young age group and mental health services. © 2022, Universitas Negeri Semarang. All rights reserved.

Public Health Information Seeking, Trust, and COVID-19 Prevention Behaviors: Cross-sectional Study.

BACKGROUND: Preventative health measures such as shelter in place and mask wearing have been widely encouraged to curb the spread of the COVID-19 disease. People's attitudes toward preventative behaviors may be dependent on their sources of information and trust in the information. OBJECTIVE: The aim of this study was to understand the relationship between trusting in COVID-19 information and preventative behaviors in a racially and politically diverse metropolitan area in the United States. METHODS: We conducted a web-based cross-sectional survey of residents in St. Louis City and County in Missouri. Individuals aged ≥18 years were eligible to participate. Participants were recruited using a convenience sampling approach through social media and email. The Health Belief Model and the Socioecological Model informed instrument development, as well as COVID-19-related questions from the Centers for Disease Control and Prevention. We performed an ordinary least squares linear regression model to estimate social distancing practices, perceptions, and trust in COVID-19 information sources. RESULTS: Of the 1650 eligible participants, the majority (n=1381, 83.7%) had sought or received COVID-19-related information from a public health agency, the Centers for Disease Control and Prevention, or both. Regression analysis showed a 1% increase in preventative behaviors for every 12% increase in trust in governmental health agencies. At their lowest levels of trust, women were 68% more likely to engage in preventative behaviors than men. Overall, those aged 18-45 years without vulnerable medical conditions were the least likely to engage in preventative behaviors. CONCLUSIONS: Trust in COVID-19 information increases an individual's likelihood of practicing preventative behaviors. Effective health communication strategies should be used to effectively disseminate health information during disease outbreaks.

Factors Related to Non-compliance With Non-pharmaceutical Interventions to Mitigate the Spread of SARS-CoV-2: Results From a Survey in the Swiss General Adult Population.

Background: Non-pharmaceutical interventions (NPI) play an important role in national efforts to control and contain the spread of SARS-CoV-2, but some people do not comply with these public health measures. The aim of this study was thus to describe this group of noncompliant people. Methods: A random sample of 1,157 people was drawn from the adult general population of Switzerland based on a three-stepped quota scheme considering the variables age (18-31, 32-45, 46-59, and ≥60 years), sex (male and female), and language region (German-, French-, and Italian-speaking Switzerland). We assessed a global scale of non-compliance with NPI based on several individual measures such as wearing face masks and social distancing. As predictor variables we included objective sociodemographic variables (e.g., age, sex) and easy measurable constructs (e.g., fears and worries about COVID-19, trust in medical experts). Results: Out of 14 predictor variables tested, seven were statistically significantly associated with increased non-compliance with NPI: male sex, younger age, self-identification as low-risk group, judging the consequences of an infection with SARS-CoV-2 as non-serious, less worries and fears about the pandemic, not obtaining regular information from health authorities, and not trusting in medical experts. The most parsimonious multivariable prediction model included the variables younger age, low appraisal of negative consequences, less fear and worries, not obtaining regular information from health authorities, and not trusting in medical experts. The model accounted for 27.9% of variance explained in non-compliance with NPI. Conclusion: Young adults who perceive COVID-19 as mostly harmless/inconsequential and who ignore and/or mistrust information from health authorities and medical experts, are the population most likely to be noncompliant with NPI. These findings may help to target a group of people at high risk of infection and to efficiently concentrate educational and interventional public health measures.

Evaluation of the Strategies to Control COVID-19 Pandemic in Four European Countries.

On March 11, 2020, the World Health Organization (WHO) has officially declared the novel coronavirus outbreak a pandemic. The national governments deployed a series of severe control measures and a set of public health policies in order to stop the spread of COVID-19 pandemic. The aim of this study is to investigate the correlation between specific interventions and incident cases during the second wave in multiple and specific countries. The observational study was based on data from the Oxford COVID-19 Government Response Tracker (OxCGRT) source retrieved from October 1st, 2020 to January 10, 2021. Thirteen specific indicators related to measures adopted were considered. Four European countries were taken into account: Italy, German, Spain and UK. A vector autoregression (VAR) model and the Granger Causality test were performed to allow for an assessment of any possible effect induced by each control measure against the overall pandemic growth. Wald test was conducted to compute p-values. No correlation between the applied measures and incident cases in the four countries was shown by the Granger causality test. Only closings of workplaces (C2) and limits on private gatherings showed (C4) a significant correlation with incident cases in UK and restrictions on internal movement between cities/regions in Germany. The Granger causality also tested that C2 and C4 forecasted the decrease of incident cases after a time lag of 6-30 days in UK and Germany, respectively. Policy makers must analyze the context in which policies are set because of effectiveness of interventions can be influenced by local context and, especially, by socio-economic and demographic characteristics, and make a proper communication to support the resilience of the population capable of guaranteeing adherence to the interventions implemented.

Decreased Use of Broad-Spectrum Antibiotics During the Coronavirus Disease 2019 Epidemic in South Korea.

BACKGROUND: Early in the coronavirus disease 2019 (COVID-19) pandemic, there was a concern over possible increase in antibiotic use due to coinfections among COVID-19 patients in the community. Here, we evaluate the changes in nationwide use of broad-spectrum antibiotics during the COVID-19 epidemic in South Korea. METHODS: We obtained national reimbursement data on the prescription of antibiotics, including penicillin with ß-lactamase inhibitors, cephalosporins, fluoroquinolones, and macrolides. We examined the number of antibiotic prescriptions compared with the previous 3 years in the same period from August to July. To quantify the impact of the COVID-19 epidemic on antibiotic use, we developed a regression model adjusting for changes of viral acute respiratory tract infections (ARTIs), which are an important factor driving antibiotic use. RESULTS: During the COVID-19 epidemic in South Korea, the broad-spectrum antibiotic use dropped by 15%-55% compared to the previous 3 years. Overall reduction in antibiotic use adjusting for ARTIs was estimated to be 14%-30%, with a larger impact in children. CONCLUSIONS: Our study found that broad-spectrum antibiotic use was substantially reduced during the COVID-19 epidemic in South Korea. This reduction can be in part due to reduced ARTIs as a result of stringent public health interventions including social distancing measures.

COVID-19 Epidemic and Public Health Measures in China.

OBJECTIVES: The study aims to analyze the status quo of public health emergency measures taken in China in dealing with the spread of new coronavirus pneumonia (COVID-19), and to put forward policy suggestions for system construction and improvement. METHODS: According to the official data released by the National Health Commission, the epidemic data of infected people from 0:00 on January 24, 2020 to 24:00 on February 23, 2020 were quantitatively analyzed through statistical analysis. We used EXCEL software to draw the overall epidemic trend chart and Statistical Product and Service Solutions (SPSS) to carry out descriptive statistical analysis of mortality and cure rate. We made qualitative analysis on the emergency measures implemented by national administrative departments and provincial governments to work on controlling and monitoring COVID-19 nationwide spread. RESULTS: The number of patients diagnosed showed a linear increasing trend, with the slope increasing first and decreasing later. Suspected and new cases showed an inverted V pattern, with the peak occurring on February 8 and 12, respectively. There was a linear increase in the number of deaths and an exponential increase in the number of cures. Over the 31-day study period, the mortality rate fluctuated between 2.0% and 3.4%. The mean cure rate was 10.03%, the minimum value was 1.33%, and the maximum value was 32.05%. The quantitative and qualitative analysis shows that the public health emergency response system constructed in China plays a significant role in controlling the epidemic in a certain period of time. DISCUSSION: The four-tier emergency management system and the joint prevention mechanism established in China have provided various resources to control the epidemic, but there are still weakness in dealing with the spread of COVID-19. It is suggested to improve and strengthen the emergency management system, public health service system, health legal system, citizen health education, and international exchange and cooperation.