631 10 20655 https://www.socictopen.socict.org/files/original/615fcd6c46d6baa9cf8599cd3acfe802.pdf 4475cf34dd22b823d33605d1a8033b2d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource SOCIO-ECONOMIC VULNERABILITY TO URBAN HEAT IN PHOENIX, ARIZONA AND DALLAS, TEXAS DURING JUNE 2020 Creator An entity primarily responsible for making the resource T. Moss, B. Kar Description An account of the resource Urban expansion compounded by climate change appears to exacerbate the temperature difference between urban and rural areas. This temperature difference, known as the urban heat island (UHI) effect, results from lack of vegetation, increased impervious surfaces, excess heat released from human activities, and changing radiation and wind dynamics due to urban morphology. UHI has been found to increase heat-related illnesses, and in some instances, mortalities among vulnerable populations. Heat exposure is particularly pertinent in 2020, as stay-at-home orders and higher unemployment rates due to the COVID-19 pandemic have further exposed urban residents to local temperatures. Certain socio-economic groups that are more affected by COVID-19 are disproportionately exposed to high urban temperatures. We investigated the relationships between urban heat island intensity (UHII), normalized difference vegetation index (NDVI), and selected socio-economic factors for Dallas, TX and Phoenix, AZ for June 2020. We used an equal-weighting approach to combine socio-economic factors obtained from 2018 US Census Bureau data to determine socio-economic vulnerability, and used Landsat 8 imagery to derive NDVI and land surface temperature. Pearson’s correlation, hot spot analysis, and Moran’s I tests revealed that socio-economic vulnerability was higher in areas with high urban temperatures and decreased vegetation. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.5194/isprs-annals-VI-3-W1-2020-59-2020 Source A related resource from which the described resource is derived ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Publisher An entity responsible for making the resource available Copernicus Publications Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Engineering (General). Civil engineering (General), Technology, Applied optics. Photonics https://www.socictopen.socict.org/files/original/88d39d7ceb461f55f6f68788f7e48610.pdf d0e1638e2b4f613ad82e5c0f8f14e7cd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Clarification of Misleading Perceptions of COVID-19 Fatality and Testing Rates in Italy: Data Analysis Creator An entity primarily responsible for making the resource Tosi, Davide, Verde, Alessandro, Verde, Manuela Description An account of the resource BackgroundThe fatality rate of coronavirus disease (COVID-19) in Italy is controversial and is greatly affecting discussion on the impact of containment measures that are straining the world’s social and economic fabric, such as instigating large-scale isolation and quarantine, closing borders, imposing limits on public gatherings, and implementing nationwide lockdowns. ObjectiveThe scientific community, citizens, politicians, and mass media are expressing concerns regarding data suggesting that the number of COVID-19–related deaths in Italy is significantly higher than in the rest of the world. Moreover, Italian citizens have misleading perceptions related to the number of swab tests that have actually been performed. Citizens and mass media are denouncing the coverage of COVID-19 swab testing in Italy, claiming that it is not in line with that in other countries worldwide. MethodsIn this paper, we attempt to clarify the aspects of COVID-19 fatalities and testing in Italy by performing a set of statistical analyses that highlight the actual numbers in Italy and compare them with official worldwide data. ResultsThe analysis clearly shows that the Italian COVID-19 fatality and mortality rates are in line with the official world scenario, as are the numbers of COVID-19 tests performed in Italy and in the Lombardy region. ConclusionsThis up-to-date analysis may elucidate the evolution of the COVID-19 pandemic in Italy. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.2196/19825 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine, Computer applications to medicine. Medical informatics https://www.socictopen.socict.org/files/original/6db3133326973bfd52b5e93bc0ed5ff4.pdf 20b8212560e920ac3700c36ffcd2ec47 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Online Information Exchange and Anxiety Spread in the Early Stage of the Novel Coronavirus (COVID-19) Outbreak in South Korea: Structural Topic Model and Network Analysis Creator An entity primarily responsible for making the resource Jo, Wonkwang, Lee, Jaeho, Park, Junli, Kim, Yeol Description An account of the resource BackgroundIn case of a population-wide infectious disease outbreak, such as the novel coronavirus disease (COVID-19), people’s online activities could significantly affect public concerns and health behaviors due to difficulty in accessing credible information from reliable sources, which in turn causes people to seek necessary information on the web. Therefore, measuring and analyzing online health communication and public sentiment is essential for establishing effective and efficient disease control policies, especially in the early stage of an outbreak. ObjectiveThis study aimed to investigate the trends of online health communication, analyze the focus of people’s anxiety in the early stages of COVID-19, and evaluate the appropriateness of online information. MethodsWe collected 13,148 questions and 29,040 answers related to COVID-19 from Naver, the most popular Korean web portal (January 20, 2020, to March 2, 2020). Three main methods were used in this study: (1) the structural topic model was used to examine the topics in the online questions; (2) word network analysis was conducted to analyze the focus of people’s anxiety and worry in the questions; and (3) two medical doctors assessed the appropriateness of the answers to the questions, which were primarily related to people’s anxiety. ResultsA total of 50 topics and 6 cohesive topic communities were identified from the questions. Among them, topic community 4 (suspecting COVID-19 infection after developing a particular symptom) accounted for the largest portion of the questions. As the number of confirmed patients increased, the proportion of topics belonging to topic community 4 also increased. Additionally, the prolonged situation led to a slight increase in the proportion of topics related to job issues. People’s anxieties and worries were closely related with physical symptoms and self-protection methods. Although relatively appropriate to suspect physical symptoms, a high proportion of answers related to self-protection methods were assessed as misinformation or advertisements. ConclusionsSearch activity for online information regarding the COVID-19 outbreak has been active. Many of the online questions were related to people’s anxieties and worries. A considerable portion of corresponding answers had false information or were advertisements. The study results could contribute reference information to various countries that need to monitor public anxiety and provide appropriate information in the early stage of an infectious disease outbreak, including COVID-19. Our research also contributes to developing methods for measuring public opinion and sentiment in an epidemic situation based on natural language data on the internet. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.2196/19455 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine, Computer applications to medicine. Medical informatics https://www.socictopen.socict.org/files/original/5431e9f9c3e9a93cb948ce079dd5e5c2.pdf 03b4c5e8e8ed9cb4e6ad6e2d7e4af0c3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study Creator An entity primarily responsible for making the resource Janmohamed, Kamila, Soale, Abdul-Nasah, Forastiere, Laura, Tang, Weiming, Sha, Yongjie, Demant, Jakob, Airoldi, Edoardo, Kumar, Navin Description An account of the resource BackgroundThe COVID-19 outbreak was designated a global pandemic on March 11, 2020. The relationship between vaping and contracting COVID-19 is unclear, and information on the internet is conflicting. There is some scientific evidence that vaping cannabidiol (CBD), an active ingredient in cannabis that is obtained from the hemp plant, or other substances is associated with more severe manifestations of COVID-19. However, there is also inaccurate information that vaping can aid COVID-19 treatment, as well as expert opinion that CBD, possibly administered through vaping, can mitigate COVID-19 symptoms. Thus, it is necessary to study the spread of inaccurate information to better understand how to promote scientific knowledge and curb inaccurate information, which is critical to the health of vapers. Inaccurate information about vaping and COVID-19 may affect COVID-19 treatment outcomes. ObjectiveUsing structural topic modeling, we aimed to map temporal trends in the web-based vaping narrative (a large data set comprising web-based vaping chatter from several sources) to indicate how the narrative changed from before to during the COVID-19 pandemic. MethodsWe obtained data using a textual query that scanned a data pool of approximately 200,000 different domains (4,027,172 documents and 361,100,284 words) such as public internet forums, blogs, and social media, from August 1, 2019, to April 21, 2020. We then used structural topic modeling to understand changes in word prevalence and semantic structures within topics around vaping before and after December 31, 2019, when COVID-19 was reported to the World Health Organization. ResultsBroadly, the web-based vaping narrative can be organized into the following groups or archetypes: harms from vaping; Vaping Regulation; Vaping as Harm Reduction or Treatment; and Vaping Lifestyle. Three archetypes were observed prior to the emergence of COVID-19; however, four archetypes were identified post–COVID-19 (Vaping as Harm Reduction or Treatment was the additional archetype). A topic related to CBD product preference emerged after COVID-19 was first reported, which may be related to the use of CBD by vapers as a COVID-19 treatment. ConclusionsOur main finding is the emergence of a vape-administered CBD treatment narrative around COVID-19 when comparing the web-based vaping narratives before and during the COVID-19 pandemic. These results are key to understanding how vapers respond to inaccurate information about COVID-19, optimizing treatment of vapers who contract COVID-19, and possibly minimizing instances of inaccurate information. The findings have implications for the management of COVID-19 among vapers and the monitoring of web-based content pertinent to tobacco to develop targeted interventions to manage COVID-19 among vapers. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.2196/21743 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine, Computer applications to medicine. Medical informatics https://www.socictopen.socict.org/files/original/668e50a7f47abeba9865a59cbd06216a.pdf 4e3a4cb83e74becb98b812f3b62a7a71 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Inpatient antibiotic utilization in the Veterans' Health Administration during the coronavirus disease 2019 (COVID-19) pandemic. Creator An entity primarily responsible for making the resource Thomas D Dieringer, Daisuke Furukawa, Christopher J Graber, Vanessa W Stevens, Makoto M Jones, Michael A Rubin, Matthew Bidwell Goetz Description An account of the resource Antibiotic prescribing practices across the Veterans' Health Administration (VA) experienced significant shifts during the coronavirus disease 2019 (COVID-19) pandemic. From 2015 to 2019, antibiotic use between January and May decreased from 638 to 602 days of therapy (DOT) per 1,000 days present (DP), while the corresponding months in 2020 saw antibiotic utilization rise to 628 DOT per 1,000 DP. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1017/ice.2020.1277 Source A related resource from which the described resource is derived Infection control and hospital epidemiology https://www.socictopen.socict.org/files/original/9bd3e8bd42372828b703f2e3735462da.pdf 1ace6e5b1b1fba5cc467ec89e3a8b78e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Simulation in Neurosurgical Education During the COVID-19 Pandemic and Beyond. Creator An entity primarily responsible for making the resource Faizal A Haji Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, simulation, postgraduate education, neurosurgery Identifier An unambiguous reference to the resource within a given context 10.1017/cjn.2020.234 Source A related resource from which the described resource is derived The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques https://www.socictopen.socict.org/files/original/a397ddf9462834f3796c6bbf6b3ace72.pdf ac0f7e6c41960c53236d6f848b23dee8 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Psycho-Emotional Approach to the Psychological Distress Related to the COVID-19 Pandemic in Spain: A Cross-Sectional Observational Study Creator An entity primarily responsible for making the resource Juan Gómez-Salgado, Montserrat Andrés-Villas, Diego Díaz-Milanés, Carlos Ruiz-Frutos, Macarena Romero-Martín, Sara Domínguez-Salas Description An account of the resource Anxiety, depression, and stress are common and expected reactions to the coronavirus disease (COVID-19) pandemic. The objective of this study is to analyze psychological distress in a sample of Spanish population, identifying the predictive nature of the information received, the preventive measures taken, level of concern, beliefs, and knowledge about the infection. A cross-sectional observational study was conducted on a sample of 4615 participants. Data were collected through a self-prepared questionnaire and the general health questionnaire (GHQ-12). Bivariate analyses and logistic regressions were performed. Of the total participants, 71.98% presented psychological distress. The study population actively sought information about coronavirus, expressed a high level of concern and knowledge, and the most frequent preventive behavior was hand washing. As predictive factors, the degree of concern for COVID-19 was identified (odds ratio (OR) = 1.244, 95% confidence interval (CI) = [1.179, 1.312]), the number of hours spent consulting information on COVID-19 (OR = 1.038, 95% CI = [1.009, 1.068]), or the need for psychological support (OR = 1.135, 95% CI = [1.094, 1.177]), among others. These results could help design more effective strategies towards a psycho-emotional approach for the population when in similar health crisis situations. There is a need for interventions aimed at the psychological well-being of the population that meet the needs of their reality. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource mental health, Public health, covid-19, psychological distress, Pandemic, disease prevention Identifier An unambiguous reference to the resource within a given context 10.3390/healthcare8030190 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/04753a44f87df91dde134908efdb4dfd.pdf f97cd05f13d8c0a0da019848224c377e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study Creator An entity primarily responsible for making the resource Low, Daniel M, Rumker, Laurie, Talkar, Tanya, Torous, John, Cecchi, Guillermo, Ghosh, Satrajit S Description An account of the resource BackgroundThe COVID-19 pandemic is impacting mental health, but it is not clear how people with different types of mental health problems were differentially impacted as the initial wave of cases hit. ObjectiveThe aim of this study is to leverage natural language processing (NLP) with the goal of characterizing changes in 15 of the world’s largest mental health support groups (eg, r/schizophrenia, r/SuicideWatch, r/Depression) found on the website Reddit, along with 11 non–mental health groups (eg, r/PersonalFinance, r/conspiracy) during the initial stage of the pandemic. MethodsWe created and released the Reddit Mental Health Dataset including posts from 826,961 unique users from 2018 to 2020. Using regression, we analyzed trends from 90 text-derived features such as sentiment analysis, personal pronouns, and semantic categories. Using supervised machine learning, we classified posts into their respective support groups and interpreted important features to understand how different problems manifest in language. We applied unsupervised methods such as topic modeling and unsupervised clustering to uncover concerns throughout Reddit before and during the pandemic. ResultsWe found that the r/HealthAnxiety forum showed spikes in posts about COVID-19 early on in January, approximately 2 months before other support groups started posting about the pandemic. There were many features that significantly increased during COVID-19 for specific groups including the categories “economic stress,” “isolation,” and “home,” while others such as “motion” significantly decreased. We found that support groups related to attention-deficit/hyperactivity disorder, eating disorders, and anxiety showed the most negative semantic change during the pandemic out of all mental health groups. Health anxiety emerged as a general theme across Reddit through independent supervised and unsupervised machine learning analyses. For instance, we provide evidence that the concerns of a diverse set of individuals are converging in this unique moment of history; we discovered that the more users posted about COVID-19, the more linguistically similar (less distant) the mental health support groups became to r/HealthAnxiety (ρ=–0.96, P Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.2196/22635 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine, Computer applications to medicine. Medical informatics https://www.socictopen.socict.org/files/original/b2bfb4d5ea4647842af810416edfec79.pdf 3b6526db34e83a0e823249583fb124fc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource COVID-19: Further evidence of no transfusion transmission. Creator An entity primarily responsible for making the resource José Roberto Luzzi, Roberta Navarro, Carla Luana Dinardo Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1016/j.transci.2020.102961 Source A related resource from which the described resource is derived Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis https://www.socictopen.socict.org/files/original/ba3f3744d49e81f51b723652e5211a13.pdf f75e6d95235202570068cc1869f706a6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource COVID-19: Are School Counseling Services Ready? Students' Psychological Symptoms, School Counselors' Views, and Solutions Creator An entity primarily responsible for making the resource Mehmet Akif Karaman, Hasan Eşici, İsmail Hakkı Tomar, Ramin Aliyev Description An account of the resource The purpose of the current study was to investigate the effects of COVID-19 on high school students' psychological symptoms and to understand how ready counselors and school counseling services are based on the data we have. Therefore, this research is designed under two different studies: (A) Study 1: Effects of COVID-19 pandemic on students' psychological symptoms and (B) Study 2: Views and expectations of students and school counselors about school counseling services. The first study was a quantitative study and included 549 high school students (398 female, 151 male). A structural equation model (SEM) was created to examine the effects of COVID-19 pandemic on participants' psychological symptoms. The Impact of Event Scale-Revised (IES-R) scores showed that 107 (19.50%) individuals had a score of 50 and above pointing out that individuals in this group had severe impact of event/trauma symptomologies. The SEM analysis indicated that IES-R scores had a total effect of 0.79 on anxiety, 0.75 on depression, 0.74 on negative self-concept, 0.68 on somatization, and 0.66 on hostility scores. Furthermore, female students had significantly higher scores on anxiety, depression, negative self-concept, somatization, hostility, and impact of events variables than male students. Study 2 was a qualitative design and consisted of five school counselors and five students from different schools. The results indicated that students' difficulties during the coronavirus disease 2019 (COVID-19) outbreak were educational, cognitive, emotional, physiological, relational, technological, and related to routines. Academic, social, emotional, and behavioral issues came to the fore among the difficulties that can be experienced if students start face-to-face education. On the other hand, the school counselors listed that family relations, personal–social, emotional, and academic themes were the difficulties experienced by the students at the beginning of the COVID-19. In addition, when COVID-19 started, the services offered by school counselors were discussed under (1) services for the student, (2) services for the family, and (3) services for the teacher. Finally, according to the opinions of the school counselors, if students start face-to-face education, they may experience emotional, academic, and relational difficulties. In summary, it is vital that student personality services be prepared and implemented by school counseling services for schools based on the results. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, psychological symptoms, high school students, Counseling services, school counselors Identifier An unambiguous reference to the resource within a given context 10.3389/fpsyg.2021.647740 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Psychology