Jorge Luis Batista-Roche, Marian Mirabent-Casals, Dahis Manzanares, Gertrud Lund, A. García‐Gasca
Post-COVID syndrome, also known as long COVID, includes a range of symptoms that persist for months or even years after initial infection such as fatigue, shortness of breath, joint pain, chest pain, muscle aches, and heart palpitations, among others. In addition, long COVID is related with new-onset diseases such as diabetes mellitus. The association between SARS-CoV-2 infections and the development of diabetes mellitus is complex and not fully understood. Therefore, the objective of this article was to summarize the state of the art in possible mechanisms involved in the development of diabetes mellitus in the post-COVID-19 era, particularly the impact of SARS-CoV-2 variants on molecular mimicry, the role of viral m6A RNA methylation, and the potential associations between these factors. A better understanding of the combinatorial effects of these mechanisms is paramount for both clinicians and researchers alike because it could help tailor more effective treatment strategies, enhance patient care, and guide future research efforts.
{"title":"New-Onset Diabetes Mellitus after COVID-19: Combined Effects of SARS-CoV-2 Variants, Molecular Mimicry, and m6A RNA Methylation","authors":"Jorge Luis Batista-Roche, Marian Mirabent-Casals, Dahis Manzanares, Gertrud Lund, A. García‐Gasca","doi":"10.3390/covid4040032","DOIUrl":"https://doi.org/10.3390/covid4040032","url":null,"abstract":"Post-COVID syndrome, also known as long COVID, includes a range of symptoms that persist for months or even years after initial infection such as fatigue, shortness of breath, joint pain, chest pain, muscle aches, and heart palpitations, among others. In addition, long COVID is related with new-onset diseases such as diabetes mellitus. The association between SARS-CoV-2 infections and the development of diabetes mellitus is complex and not fully understood. Therefore, the objective of this article was to summarize the state of the art in possible mechanisms involved in the development of diabetes mellitus in the post-COVID-19 era, particularly the impact of SARS-CoV-2 variants on molecular mimicry, the role of viral m6A RNA methylation, and the potential associations between these factors. A better understanding of the combinatorial effects of these mechanisms is paramount for both clinicians and researchers alike because it could help tailor more effective treatment strategies, enhance patient care, and guide future research efforts.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140706202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Liege Cheung, Adela S. M. Lau, K. F. Lam, P. Y. Ng
Contact tracing is a method used to control the spread of a pandemic. The objectives of this research are to conduct an empirical review and content analysis to identify the environmental factors causing the spread of the pandemic and to propose an ontology-based big data architecture to collect these factors for prediction. No research studies these factors as a whole in pandemic prediction. The research method used was an empirical study and content analysis. The keywords contact tracking, pandemic spread, fear, hygiene measures, government policy, prevention programs, pandemic programs, information disclosure, pandemic economics, and COVID-19 were used to archive studies on the pandemic spread from 2019 to 2022 in the EBSCOHost databases (e.g., Medline, ERIC, Library Information Science & Technology, etc.). The results showed that only 84 of the 588 archived studies were relevant. The risk perception of the pandemic (n = 14), hygiene behavior (n = 7), culture (n = 12), and attitudes of government policies on pandemic prevention (n = 25), education programs (n = 2), business restrictions (n = 2), technology infrastructure, and multimedia usage (n = 24) were the major environmental factors influencing public behavior of pandemic prevention. An ontology-based big data architecture is proposed to collect these factors for building the spread prediction model. The new method overcomes the limitation of traditional pandemic prediction model such as Susceptible-Exposed-Infected-Recovered (SEIR) that only uses time series to predict epidemic trend. The big data architecture allows multi-dimension data and modern AI methods to be used to train the contagion scenarios for spread prediction. It helps policymakers to plan pandemic prevention programs.
{"title":"A Review of Environmental Factors for an Ontology-Based Risk Analysis for Pandemic Spread","authors":"Liege Cheung, Adela S. M. Lau, K. F. Lam, P. Y. Ng","doi":"10.3390/covid4040031","DOIUrl":"https://doi.org/10.3390/covid4040031","url":null,"abstract":"Contact tracing is a method used to control the spread of a pandemic. The objectives of this research are to conduct an empirical review and content analysis to identify the environmental factors causing the spread of the pandemic and to propose an ontology-based big data architecture to collect these factors for prediction. No research studies these factors as a whole in pandemic prediction. The research method used was an empirical study and content analysis. The keywords contact tracking, pandemic spread, fear, hygiene measures, government policy, prevention programs, pandemic programs, information disclosure, pandemic economics, and COVID-19 were used to archive studies on the pandemic spread from 2019 to 2022 in the EBSCOHost databases (e.g., Medline, ERIC, Library Information Science & Technology, etc.). The results showed that only 84 of the 588 archived studies were relevant. The risk perception of the pandemic (n = 14), hygiene behavior (n = 7), culture (n = 12), and attitudes of government policies on pandemic prevention (n = 25), education programs (n = 2), business restrictions (n = 2), technology infrastructure, and multimedia usage (n = 24) were the major environmental factors influencing public behavior of pandemic prevention. An ontology-based big data architecture is proposed to collect these factors for building the spread prediction model. The new method overcomes the limitation of traditional pandemic prediction model such as Susceptible-Exposed-Infected-Recovered (SEIR) that only uses time series to predict epidemic trend. The big data architecture allows multi-dimension data and modern AI methods to be used to train the contagion scenarios for spread prediction. It helps policymakers to plan pandemic prevention programs.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"26 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140713440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mariana Boulos, Moeen Sbeit, Maamoun Basheer, Guy Ben Arie, Yuval Mirkin, Nimer Assy
SARS-CoV-2 damages not only the lungs, but also the liver and kidney. Most critically ill COVID-19 patients have liver and kidney dysfunctions. The early identification of patients with COVID-19 who will develop severe or critical disease symptoms is important for delivering proper and early treatment. This research studies the correlation of liver and kidney function indexes and COVID-19 outcomes. Electronic medical record data from 391 patients diagnosed with COVID-19 in the COVID-19 Department, Galilee Medical Center, Nahariya, Israel were collected. Epidemiological, clinical, laboratory, and imaging variables were analyzed. The liver and kidney enzyme indexes were measured upon admission and discharge. A correlation between laboratory levels and severity and mortality of COVID-19 patients was undertaken. This study included 391 COVID-19 patients, 258 mild patients and 133 severe patients. Multivariate stepwise regression analyses and discriminant analyses were used to identify and validate powerful predictors. The main outcome was death or invasive ventilation. Three factors, namely higher urea nitrogen (BUN) and IL-6, and lower albumin levels, were the most powerful predictors of mortality, and classified the results (survival vs. death) correctly in 85% of cases (diagnostic accuracy) with a sensitivity of 88% and a specificity 55%. Compared with mild patients, severe patients had lower albumin (ALB), higher alanine aminotransferase (ALT), aspartate aminotransferase (AST) and BUN (all p < 0.001). COVID-19 patients, especially severe patients, have damage to liver and kidney function. BUN, IL-6 and albumin are factors predicting mortality while fibrinogen and AST could be independent factors for predicting the severity of COVID-19.
{"title":"Kidney and Liver Predictors of Adults Hospitalized with COVID-19 Infection","authors":"Mariana Boulos, Moeen Sbeit, Maamoun Basheer, Guy Ben Arie, Yuval Mirkin, Nimer Assy","doi":"10.3390/covid4040030","DOIUrl":"https://doi.org/10.3390/covid4040030","url":null,"abstract":"SARS-CoV-2 damages not only the lungs, but also the liver and kidney. Most critically ill COVID-19 patients have liver and kidney dysfunctions. The early identification of patients with COVID-19 who will develop severe or critical disease symptoms is important for delivering proper and early treatment. This research studies the correlation of liver and kidney function indexes and COVID-19 outcomes. Electronic medical record data from 391 patients diagnosed with COVID-19 in the COVID-19 Department, Galilee Medical Center, Nahariya, Israel were collected. Epidemiological, clinical, laboratory, and imaging variables were analyzed. The liver and kidney enzyme indexes were measured upon admission and discharge. A correlation between laboratory levels and severity and mortality of COVID-19 patients was undertaken. This study included 391 COVID-19 patients, 258 mild patients and 133 severe patients. Multivariate stepwise regression analyses and discriminant analyses were used to identify and validate powerful predictors. The main outcome was death or invasive ventilation. Three factors, namely higher urea nitrogen (BUN) and IL-6, and lower albumin levels, were the most powerful predictors of mortality, and classified the results (survival vs. death) correctly in 85% of cases (diagnostic accuracy) with a sensitivity of 88% and a specificity 55%. Compared with mild patients, severe patients had lower albumin (ALB), higher alanine aminotransferase (ALT), aspartate aminotransferase (AST) and BUN (all p < 0.001). COVID-19 patients, especially severe patients, have damage to liver and kidney function. BUN, IL-6 and albumin are factors predicting mortality while fibrinogen and AST could be independent factors for predicting the severity of COVID-19.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"55 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140733688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daliha Aqbal, Mariam Zakher, Sophie Nicolich-Henkin, Dajana Alku, Paula Choi, Neha Bansal, Shahidul Islam
Introduction: COVID-19, in combination with steroid treatment, is known to propagate hyperglycemia in diabetic patients. The purpose of this study was to establish a new insulin protocol for diabetic patients with COVID-19 on the dexamethasone protocol for better glycemic control. Research Design and Methods: This was a retrospective cohort study conducted at NYU Langone Long Island Hospital from 1 July 2020 to 1 July 2021. Eligible cases had to meet the following inclusion criteria: age of 18 years or greater, history of or new-onset diabetes, diagnosis of COVID-19 and receiving the 10 day dexamethasone treatment, length of stay of at least 3 days with a minimum of 48 h of glucose monitoring, and requiring basal and prandial insulin with correction during hospital stay. Data were collected using the hospital’s electronic record system. The total basal, prandial, and daily doses of insulin on the day at which glycemic control was achieved, or if glycemic control was not achieved by the discharge date, then on the completion date of the dexamethasone treatment, were collected and assessed. Results: A total of 145 patient cases were analyzed. About 46% of patients achieved glycemic control. The average insulin dose required was 0.67 (0.61–0.74) unit/kg. The mean total dose of insulin was 59 units. The mean total basal dose was 21 units. The mean total prandial dose was 38 units. The average prandial doses were higher than the basal doses for all participants. Conclusions: Diabetic patients with COVID-19 on dexamethasone should be initiated on at least 0.6–0.7 u/kg of insulin to achieve glycemic control.
{"title":"Insulin Adjustments for Hospitalized COVID-19 Patients on a Fixed Dexamethasone Protocol","authors":"Daliha Aqbal, Mariam Zakher, Sophie Nicolich-Henkin, Dajana Alku, Paula Choi, Neha Bansal, Shahidul Islam","doi":"10.3390/covid4040029","DOIUrl":"https://doi.org/10.3390/covid4040029","url":null,"abstract":"Introduction: COVID-19, in combination with steroid treatment, is known to propagate hyperglycemia in diabetic patients. The purpose of this study was to establish a new insulin protocol for diabetic patients with COVID-19 on the dexamethasone protocol for better glycemic control. Research Design and Methods: This was a retrospective cohort study conducted at NYU Langone Long Island Hospital from 1 July 2020 to 1 July 2021. Eligible cases had to meet the following inclusion criteria: age of 18 years or greater, history of or new-onset diabetes, diagnosis of COVID-19 and receiving the 10 day dexamethasone treatment, length of stay of at least 3 days with a minimum of 48 h of glucose monitoring, and requiring basal and prandial insulin with correction during hospital stay. Data were collected using the hospital’s electronic record system. The total basal, prandial, and daily doses of insulin on the day at which glycemic control was achieved, or if glycemic control was not achieved by the discharge date, then on the completion date of the dexamethasone treatment, were collected and assessed. Results: A total of 145 patient cases were analyzed. About 46% of patients achieved glycemic control. The average insulin dose required was 0.67 (0.61–0.74) unit/kg. The mean total dose of insulin was 59 units. The mean total basal dose was 21 units. The mean total prandial dose was 38 units. The average prandial doses were higher than the basal doses for all participants. Conclusions: Diabetic patients with COVID-19 on dexamethasone should be initiated on at least 0.6–0.7 u/kg of insulin to achieve glycemic control.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140385246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Catherine T. Lowe, Cheryl M. Trask, Maliha Rafiq, L. Mackay, Nicole Letourneau, Cheuk F. Ng, Janine Keown-Gerrard, Trevor Gilbert, K. Ross
The COVID-19 pandemic prompted global public health restrictions that impacted Canadians in multiple ways. The effects of the pandemic are well examined in specific populations and in researcher-defined areas (e.g., mental health, physical activity, social connections, and financial impacts). Few studies explore the complex perspectives of adults who experienced and were impacted by the pandemic. The purpose of this study was to understand Canadian adults’ perspectives of pandemic impacts over time. Methods: A sample of 347 Canadian adults were recruited during the first six months of the COVID-19 pandemic to respond to open-ended questions about the pandemic’s impacts, administered every two weeks between April 2020 and January 2021. The responses were amalgamated into epochs, defined by dates that paralleled infection rates and public health responses in Canada. Qualitative thematic analysis identified major themes for each epoch and changes in themes over time. Results: The participants predominately reported adverse impacts of the pandemic during each epoch assessed, particularly with respect to mental health, future-oriented worry, activity restrictions, and social, and employment disruptions. Key concerns were potentially driven by changes in infection rates and public health policy changes. Conclusions: The COVID-19 pandemic impacted individuals in predominantly negative and complex ways that varied over time with public health responses. Findings from the present study may direct future pandemic responses to mitigate adverse effects to best prevent infection while preserving wellbeing.
{"title":"Experiences and Impacts of the COVID-19 Pandemic: A Thematic Analysis","authors":"Catherine T. Lowe, Cheryl M. Trask, Maliha Rafiq, L. Mackay, Nicole Letourneau, Cheuk F. Ng, Janine Keown-Gerrard, Trevor Gilbert, K. Ross","doi":"10.3390/covid4040028","DOIUrl":"https://doi.org/10.3390/covid4040028","url":null,"abstract":"The COVID-19 pandemic prompted global public health restrictions that impacted Canadians in multiple ways. The effects of the pandemic are well examined in specific populations and in researcher-defined areas (e.g., mental health, physical activity, social connections, and financial impacts). Few studies explore the complex perspectives of adults who experienced and were impacted by the pandemic. The purpose of this study was to understand Canadian adults’ perspectives of pandemic impacts over time. Methods: A sample of 347 Canadian adults were recruited during the first six months of the COVID-19 pandemic to respond to open-ended questions about the pandemic’s impacts, administered every two weeks between April 2020 and January 2021. The responses were amalgamated into epochs, defined by dates that paralleled infection rates and public health responses in Canada. Qualitative thematic analysis identified major themes for each epoch and changes in themes over time. Results: The participants predominately reported adverse impacts of the pandemic during each epoch assessed, particularly with respect to mental health, future-oriented worry, activity restrictions, and social, and employment disruptions. Key concerns were potentially driven by changes in infection rates and public health policy changes. Conclusions: The COVID-19 pandemic impacted individuals in predominantly negative and complex ways that varied over time with public health responses. Findings from the present study may direct future pandemic responses to mitigate adverse effects to best prevent infection while preserving wellbeing.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140387022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dario Iljkić, Olgica Klepac, Dubravka Užar, I. Samfira, Dušan Dunđerski, Daniel Haman, Catalin Zoican, Ivana Majić, Ivana Varga
The COVID-19 pandemic affected many aspects of human life including consumer behavior. The main aim of this paper was to identify basic patterns of changes in consumer attitudes towards agri-food products under the influence of the 2020 pandemic and to better understand to what extent and what kind of food market problems appeared for the inhabitants of the Danube microregion. For this purpose, an explorative study was elaborated. Assuming that the experience of COVID-19 affected consumer attitudes and sense of food security, a hybrid survey was conducted in the Danube microregion (Croatia, Serbia and Romania) during 2022. Data collected from a total of 903 respondents were statistically analyzed in SPSS. Descriptive statistics, PCA, ANOVA and t-Test were employed. The main results have shown that although the surveyed population of the Danube microregion during the pandemic in 2020 was generally not afraid of food shortages, food was in most part available for their families and their shopping habits have not changed to a large degree, the experience of the pandemic has raised the level of awareness about some issues related to food and specifically the prices of food products. Also, three different patterns of attitude and behavior towards food and agriculture, which emerged as a result of the experience of the pandemic in 2020, were identified. These patterns also proved to be different for different segments of the population. The findings suggest the need for stronger support for the development of locally affordable food systems with the use of ICT as a coping mechanism in crises.
{"title":"A Case Study of Consumer’s Attitudes towards Agro-Food Markets in Danube Microregion in COVID-19 Pandemic","authors":"Dario Iljkić, Olgica Klepac, Dubravka Užar, I. Samfira, Dušan Dunđerski, Daniel Haman, Catalin Zoican, Ivana Majić, Ivana Varga","doi":"10.3390/covid4030027","DOIUrl":"https://doi.org/10.3390/covid4030027","url":null,"abstract":"The COVID-19 pandemic affected many aspects of human life including consumer behavior. The main aim of this paper was to identify basic patterns of changes in consumer attitudes towards agri-food products under the influence of the 2020 pandemic and to better understand to what extent and what kind of food market problems appeared for the inhabitants of the Danube microregion. For this purpose, an explorative study was elaborated. Assuming that the experience of COVID-19 affected consumer attitudes and sense of food security, a hybrid survey was conducted in the Danube microregion (Croatia, Serbia and Romania) during 2022. Data collected from a total of 903 respondents were statistically analyzed in SPSS. Descriptive statistics, PCA, ANOVA and t-Test were employed. The main results have shown that although the surveyed population of the Danube microregion during the pandemic in 2020 was generally not afraid of food shortages, food was in most part available for their families and their shopping habits have not changed to a large degree, the experience of the pandemic has raised the level of awareness about some issues related to food and specifically the prices of food products. Also, three different patterns of attitude and behavior towards food and agriculture, which emerged as a result of the experience of the pandemic in 2020, were identified. These patterns also proved to be different for different segments of the population. The findings suggest the need for stronger support for the development of locally affordable food systems with the use of ICT as a coping mechanism in crises.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"34 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140239949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Srem-Sai, F. Quansah, E. K. Agormedah, J. Hagan, Thomas Schack
The COVID-19 disease affected the school workplace climate for teachers and led to psychological consequences. However, it is not clear how the workplace climate affected the anxiety levels of teachers. This study assessed the connection between workplace climate and COVID-19-related anxiety among senior high school (SHS) teachers during the COVID-19 pandemic. This study further examined the moderating role of professional and social media platform use on the relationship between workplace climate and COVID-19-related anxiety among teachers. Through a cross-sectional survey design, 395 high school teachers were conveniently sampled from various schools in the Central Region of Ghana. A questionnaire was used to survey participants, and the obtained data were analysed using descriptive statistics as well as simple linear regression and moderation analyses with Hayes’ PROCESS. This study revealed a negative association between workplace climate and anxiety. The relationship between workplace climate and anxiety was contingent on social media use but not professional platform use. Therefore, the consumption of unscrutinised COVID-19-related information on social media heightened fear and anxiety among teachers, even in the midst of a safe workplace environment. An effective strategy against teachers’ COVID-19-related anxiety required the provision of accurate science-driven information about the virus. School counselling psychologists, school welfare officers, and school health coordinators are encouraged to collaborate towards designed interventions that promote a safe working environment and the mental health of teachers.
{"title":"Evaluating Teachers’ Workplace Climate and Anxiety Response during the COVID-19 Pandemic: The Role of Information Seeking Platforms","authors":"M. Srem-Sai, F. Quansah, E. K. Agormedah, J. Hagan, Thomas Schack","doi":"10.3390/covid4030025","DOIUrl":"https://doi.org/10.3390/covid4030025","url":null,"abstract":"The COVID-19 disease affected the school workplace climate for teachers and led to psychological consequences. However, it is not clear how the workplace climate affected the anxiety levels of teachers. This study assessed the connection between workplace climate and COVID-19-related anxiety among senior high school (SHS) teachers during the COVID-19 pandemic. This study further examined the moderating role of professional and social media platform use on the relationship between workplace climate and COVID-19-related anxiety among teachers. Through a cross-sectional survey design, 395 high school teachers were conveniently sampled from various schools in the Central Region of Ghana. A questionnaire was used to survey participants, and the obtained data were analysed using descriptive statistics as well as simple linear regression and moderation analyses with Hayes’ PROCESS. This study revealed a negative association between workplace climate and anxiety. The relationship between workplace climate and anxiety was contingent on social media use but not professional platform use. Therefore, the consumption of unscrutinised COVID-19-related information on social media heightened fear and anxiety among teachers, even in the midst of a safe workplace environment. An effective strategy against teachers’ COVID-19-related anxiety required the provision of accurate science-driven information about the virus. School counselling psychologists, school welfare officers, and school health coordinators are encouraged to collaborate towards designed interventions that promote a safe working environment and the mental health of teachers.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"2012 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140246289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The current study investigates the peritraumatic distress of Chinese residents living in Canada and identifies the associated sociodemographic and pandemic-related predictors during the initial phases of the Coronavirus Disease 2019 (COVID-19) pandemic lockdown (i.e., from April 2020 to June 2020). A final sample of 457 valid participants aged 18 or older completed an online survey in which peritraumatic distress was assessed with the COVID-19 Peritraumatic Distress Index (CPDI). The results showed 32.76% of the sample was in the mild to moderate range (i.e., 28–51) and 5.03% in the severe range (i.e., 52 to higher) for peritraumatic distress. The hierarchical regression models on the continuous CPDI score identified life satisfaction as a consistent protector for the CPDI (absolute values of βs = −1.21 to −0.49, ps < 0.001). After controlling for life satisfaction, the following sociodemographic risk factors were identified: being middle-aged, being employed (relative to retired people/students), living in Ontario (rather than elsewhere), and a poor health status. Furthermore, the following pandemic-related risk factors were identified: a higher self-contraction worry, more of a COVID-19 information authenticity concern, a higher future infection rate prediction, and a higher personal health hygiene appraisal. The results of our study shed light on cognitive, experiential, behavioural, and sociodemographic factors associated with peritraumatic distress for Chinese residents living in Canada during the early outbreak stage of the pandemic.
{"title":"Peritraumatic Distress among Chinese Canadians during the Early Lockdown Stage of the COVID-19 Pandemic: Sociodemographic and Pandemic-Related Predictors","authors":"Alexandra Katsiris, Kesaan Kandasamy, Lixia Yang","doi":"10.3390/covid4030026","DOIUrl":"https://doi.org/10.3390/covid4030026","url":null,"abstract":"The current study investigates the peritraumatic distress of Chinese residents living in Canada and identifies the associated sociodemographic and pandemic-related predictors during the initial phases of the Coronavirus Disease 2019 (COVID-19) pandemic lockdown (i.e., from April 2020 to June 2020). A final sample of 457 valid participants aged 18 or older completed an online survey in which peritraumatic distress was assessed with the COVID-19 Peritraumatic Distress Index (CPDI). The results showed 32.76% of the sample was in the mild to moderate range (i.e., 28–51) and 5.03% in the severe range (i.e., 52 to higher) for peritraumatic distress. The hierarchical regression models on the continuous CPDI score identified life satisfaction as a consistent protector for the CPDI (absolute values of βs = −1.21 to −0.49, ps < 0.001). After controlling for life satisfaction, the following sociodemographic risk factors were identified: being middle-aged, being employed (relative to retired people/students), living in Ontario (rather than elsewhere), and a poor health status. Furthermore, the following pandemic-related risk factors were identified: a higher self-contraction worry, more of a COVID-19 information authenticity concern, a higher future infection rate prediction, and a higher personal health hygiene appraisal. The results of our study shed light on cognitive, experiential, behavioural, and sociodemographic factors associated with peritraumatic distress for Chinese residents living in Canada during the early outbreak stage of the pandemic.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"30 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140247657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Given the plentitude of messages in the public arena that promote vaccination against different diseases or raise the possibility of vaccine mandates, we asked whether message effects in one disease domain might spill over into other domains. Our experiment exposed individuals (N = 1755) recruited from an opt-in online panel (Qualtrics) on influenza or COVID-19 pro-vaccination messages then measured intentions to vaccinate for each disease and intentions to support a vaccine mandate for each disease. Messages that targeted flu (vs. COVID-19) exhibited stronger effects on intentions to vaccinate for corresponding (vs. noncorresponding) disease. We observed positive spillover from intention to vaccinate against one disease to intention to vaccinate against the other disease, as well as from vaccination intention type to support for corresponding and noncorresponding vaccine mandates. Although pro-vaccination flu and COVID-19 messages have multiple effects, those effects are congenial. The results adjudicate differences in spillover theory and suggest synergistic effects between pro-vaccination campaigns.
{"title":"Pro-Vaccination Flu and COVID-19 Messages: Evidence of Congenial Targeted and Spillover Effects","authors":"J. Dillard, Lijiang Shen","doi":"10.3390/covid4030024","DOIUrl":"https://doi.org/10.3390/covid4030024","url":null,"abstract":"Given the plentitude of messages in the public arena that promote vaccination against different diseases or raise the possibility of vaccine mandates, we asked whether message effects in one disease domain might spill over into other domains. Our experiment exposed individuals (N = 1755) recruited from an opt-in online panel (Qualtrics) on influenza or COVID-19 pro-vaccination messages then measured intentions to vaccinate for each disease and intentions to support a vaccine mandate for each disease. Messages that targeted flu (vs. COVID-19) exhibited stronger effects on intentions to vaccinate for corresponding (vs. noncorresponding) disease. We observed positive spillover from intention to vaccinate against one disease to intention to vaccinate against the other disease, as well as from vaccination intention type to support for corresponding and noncorresponding vaccine mandates. Although pro-vaccination flu and COVID-19 messages have multiple effects, those effects are congenial. The results adjudicate differences in spillover theory and suggest synergistic effects between pro-vaccination campaigns.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"33 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140253437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Margaret F. Sloan, Tina Switzer, L. Trull, Claire Switzer, Melody Eaton, Kelly Atwood, Emily Akerson
Due to the variance in community infrastructure and resources, COVID-19 impacted rural communities differently than their urban counterparts. This study examines two waves of data from a survey of rural residents in the Shenandoah Valley of Virginia regarding how community organizations responded to the pandemic, what strategies were most successful, and where needs shifted. The findings demonstrate that organizations with deeply embedded community leaders achieve higher levels of collaborative change in a timely manner. Additionally, mental health services have become a more pronounced need as a result of the pandemic. The interdependence of community needs, recognized by community members, calls for collaborative strategies for the future.
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