Journal Description
COVID
COVID
is an international, peer-reviewed, open access journal on the study of coronaviruses, coronavirus-related diseases and global impact, published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within ESCI (Web of Science), Scopus, CAPlus / SciFinder, and other databases.
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 16.8 days after submission; acceptance to publication is undertaken in 1.9 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: APC discount vouchers, optional signed peer review, and reviewer names published annually in the journal.
- COVID is a companion journal of Viruses.
Latest Articles
Mutation Trajectory of Omicron SARS-CoV-2 Virus, Measured by Principal Component Analysis
COVID 2024, 4(4), 571-581; https://doi.org/10.3390/covid4040038 - 22 Apr 2024
Abstract
Since 2019, the SARS-CoV-2 virus has caused a global pandemic, resulting in widespread infections and ongoing mutations. Analyzing these mutations is essential for predicting future impacts. Unlike influenza mutations, SARS-CoV-2 mutations displayed distinct selective patterns that were concentrated in the spike protein and
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Since 2019, the SARS-CoV-2 virus has caused a global pandemic, resulting in widespread infections and ongoing mutations. Analyzing these mutations is essential for predicting future impacts. Unlike influenza mutations, SARS-CoV-2 mutations displayed distinct selective patterns that were concentrated in the spike protein and small ORFs. In contrast to the gradual accumulation seen in influenza mutations, SARS-CoV-2 mutations lead to the abrupt emergence of new variants and subsequent outbreaks. This phenomenon may be attributed to their targeted cellular substances; unlike the influenza virus, which has mutated to evade acquired immunity, SARS-CoV-2 appeared to mutate to target individuals who have not been previously infected. The Omicron variant, which emerged in late 2021, demonstrates significant mutations that set it apart from previous variants. The rapid mutation rate of SARS-CoV-2 has now reached a level comparable to 30 years of influenza variation. The most recent variant, JN.1, exhibits a discernible trajectory of change distinct from previous Omicron variants.
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(This article belongs to the Special Issue Analysis of Modeling and Statistics for COVID-19)
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Open AccessSystematic Review
COVID-19 Vaccine Acceptance and Hesitancy among Teachers and Students: A Scoping Review of Prevalence and Risk Factors
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Jacob Owusu Sarfo, Mustapha Amoadu, Edward Wilson Ansah and John Elvis Hagan Jnr
COVID 2024, 4(4), 557-570; https://doi.org/10.3390/covid4040037 - 19 Apr 2024
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Students’ and teachers’ acceptance of the COVID-19 vaccination may help boost the uptake of the vaccines in the general population because teachers and students serve as a source of information and campaign mechanisation for vaccination. This review aimed to map evidence on the
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Students’ and teachers’ acceptance of the COVID-19 vaccination may help boost the uptake of the vaccines in the general population because teachers and students serve as a source of information and campaign mechanisation for vaccination. This review aimed to map evidence on the prevalence and predictors of COVID-19 vaccine acceptance and hesitancy among teachers and students. After removing duplicates, a search in several databases (Dimensions, PubMed Central, JSTOR, Google Scholar, Google, the WHO Library, and HINARI) produced 2060 records. Through screening based on the inclusion criteria, 27 records were used for this review. A relatively high prevalence of vaccine hesitancy was found among teachers and students. Teachers and students in countries such as China, Egypt, the USA, and India however, reported relatively low levels of COVID-19 vaccine acceptance. Vaccine hesitancy depends on perceived adverse effects, safety, efficacy, and benefits among teachers and students, with male teachers and male students being more likely to accept the COVID-19 vaccine than their female counterparts. Moreover, we found that vaccine acceptance could result from trust in the healthcare system and pharmaceutical companies, sources of COVID-19 information, and trust in healthcare providers. Public health experts, academics, other scientists, and health practitioners are required to take a more distinctive, multidisciplinary, and structured approach that focused on communicating effective evidence-based information to combat misinformation concerning COVID-19 vaccines.
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Open AccessArticle
A Sequential Explanatory Study Examining the Buffering Effects of Human–Animal Interaction on Stress and Quality of Life among Work-from-Home Employees during the COVID-19 Pandemic in the Philippines
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Karen Anne C. Quing, Jomar Saif P. Baudin and Renato R. Maaliw III
COVID 2024, 4(4), 531-556; https://doi.org/10.3390/covid4040036 - 17 Apr 2024
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The sudden lockdown and social isolation caused by the COVID-19 pandemic substantially affected the physical and psychological aspects of our lives. This study used a sequential explanatory research design to explore how human–animal interactions (HAI) can reduce stress and improve quality of life
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The sudden lockdown and social isolation caused by the COVID-19 pandemic substantially affected the physical and psychological aspects of our lives. This study used a sequential explanatory research design to explore how human–animal interactions (HAI) can reduce stress and improve quality of life (QOL) for employees working from home during the period. A total of 770 respondents took part in the quantitative portion of this study, comprised of 385 pet owners and 385 non-pet owners, with ten individuals randomly selected for the qualitative phase. The pet owners group was predominantly female, with 28.57% of the total sample with a mean age of 33.67 and a standard deviation (SD) of 9.46. In contrast, the majority of non-pet owners were male, making up 32.46% of the group with an average age of 29.57 and SD of 6.42. The HAI scale, work stress questionnaire, and the WHOQOL-BREF tests were utilized to evaluate the variables of this research. The results indicated significant differences in stress levels between the two independent groups. However, there were no significant differences in the overall QOL within the groups, except in the social domain. More importantly, our research showed that HAI had a buffering effect on stress and QOL among pet owners. Our research has important implications for understanding the importance of owning pets in enhancing personal welfare. These results are helpful for public health policies and endeavors to aid individuals and communities during periods of crises such as a pandemic.
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Open AccessArticle
Belief in Conspiracy Theories about COVID-19 Vaccines among Brazilians: A National Cross-Sectional Study
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Emerson Lucas Silva Camargo, Caíque Jordan Nunes Ribeiro, Guilherme Reis de Santana Santos, Valdemar Silva Almeida, Herica Emilia Félix de Carvalho, Guilherme Schneider, Leticia Genova Vieira, André Luiz Silva Alvim, Fabiana Guerra Pimenta, Liliane Moretti Carneiro, Odinéa Maria Amorim Batista, Anderson Reis de Sousa, Álvaro Francisco Lopes de Sousa and Carla Aparecida Arena Ventura
COVID 2024, 4(4), 518-530; https://doi.org/10.3390/covid4040035 - 17 Apr 2024
Abstract
Background: Vaccine hesitancy is a complex challenge that demands a comprehensive approach, one that not only acknowledges legitimate concerns within communities but also actively confronts misinformation. In this context, this study aimed to investigate the prevalence of belief in conspiracy theories about COVID-19
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Background: Vaccine hesitancy is a complex challenge that demands a comprehensive approach, one that not only acknowledges legitimate concerns within communities but also actively confronts misinformation. In this context, this study aimed to investigate the prevalence of belief in conspiracy theories about COVID-19 vaccines among Brazilians, seeking to understand the factors associated with this behavior. Method: Utilizing a national online survey conducted between May and August 2020, with a sample of 4247 participants, we conducted multivariate analysis to identify the independent determinants of this adherence, calculating adjusted prevalence ratios (APRs) and their 95% confidence intervals. Results: It was revealed that 27.7% of participants believed in at least one conspiracy theory. Factors associated with a higher level of adherence included agreement with at least one piece of COVID-19 misinformation on social media (APR: 3.65; 95% CI: 3.07–4.34), lack of difficulty accessing leisure activities during the pandemic (APR: 3.11; 95% CI: 1.85–5.24), age 50 years or older (APR: 1.70; 95% CI: 1.49–1.94), absence of difficulty accessing protective measures (APR: 1.47; 95% CI: 1.26–1.72), use of face masks (APR: 1.62; 95% CI: 1.33–1.97), non-use of at least one traditional media source for information (APR: 1.47; 95% CI: 1.26–1.72), female gender (APR: 1.41; 95% CI: 1.25–1.60), and age between 30 and 49 years (APR: 1.35; 95% CI: 1.19–1.52). Conclusions: Our findings highlight that it is crucial to recognize that vaccine hesitancy is not merely an isolated phenomenon but often rooted in a complex interplay of social, cultural, psychological, and political factors. There is a need for multifaceted strategies to combat vaccine hesitancy, effectively address conspiracy theories, and consider the various factors associated with their prevalence.
Full article
(This article belongs to the Special Issue How COVID-19 and Long COVID Changed Individuals and Communities 2.0)
Open AccessArticle
The Psychosocial Health of Black/African Americans Compared with People of Other Races/Ethnic Origins during the COVID-19 Pandemic
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Daicia Price, Tore Bonsaksen, Janni Leung, Mary Ruffolo, Gary Lamph, Karis Hawkins and Amy Østertun Geirdal
COVID 2024, 4(4), 506-517; https://doi.org/10.3390/covid4040034 - 17 Apr 2024
Abstract
This study compared the psychosocial health between Black/African Americans and other ethnic groups during the COVID-19 pandemic. Using self-report questionnaires, data were collected at three time points from April 2020 to January 2022, controlling for education and employment status. Surprisingly, Black/African American participants
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This study compared the psychosocial health between Black/African Americans and other ethnic groups during the COVID-19 pandemic. Using self-report questionnaires, data were collected at three time points from April 2020 to January 2022, controlling for education and employment status. Surprisingly, Black/African American participants consistently reported lower psychological distress compared to their counterparts. However, they initially reported lower quality of life, which improved over time, eventually surpassing that of the other groups by January 2022. These findings suggest resilience among Black/African Americans despite historical marginalization. Socioeconomic factors and historical context may have influenced these disparities, highlighting the need for targeted interventions to support marginalized communities during crises.
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Open AccessArticle
Identifying the Predictors of Pediatric Vaccine Uptake during the COVID-19 Pandemic
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Colleen Phan, Brandon Mercado, Justin Travis and Ginny Webb
COVID 2024, 4(4), 495-505; https://doi.org/10.3390/covid4040033 - 16 Apr 2024
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Identifying determinants of vaccination uptake is critical for public and community health. The population became divided in regard to preventative measures and vaccinations during the COVID-19 pandemic. In addition, there are varying opinions on decisions to vaccinate children against childhood diseases and COVID-19.
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Identifying determinants of vaccination uptake is critical for public and community health. The population became divided in regard to preventative measures and vaccinations during the COVID-19 pandemic. In addition, there are varying opinions on decisions to vaccinate children against childhood diseases and COVID-19. Recent findings suggest that the COVID-19 pandemic has exacerbated existing vaccine hesitancy. Here, we assess vaccine hesitancy in parents by identifying predictors of vaccine acceptance by parents during the COVID-19 pandemic using a survey given to parents in South Carolina. Knowledge about COVID-19 and vaccinations affects vaccination intentions. Age, education, gender, and politics were also found to predict parents’ decisions about vaccinating their kids. Understanding potential barriers to vaccine acceptance will aid healthcare providers and public health entities to better reach the community.
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Open AccessReview
New-Onset Diabetes Mellitus after COVID-19: Combined Effects of SARS-CoV-2 Variants, Molecular Mimicry, and m6A RNA Methylation
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Jorge Luis Batista-Roche, Marian Mirabent-Casals, Dahis Manzanares, Gertrud Lund and Alejandra García-Gasca
COVID 2024, 4(4), 481-494; https://doi.org/10.3390/covid4040032 - 14 Apr 2024
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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
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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.
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Open AccessReview
A Review of Environmental Factors for an Ontology-Based Risk Analysis for Pandemic Spread
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Liege Cheung, Adela S. M. Lau, Kwok Fai Lam and Pauline Yeung Ng
COVID 2024, 4(4), 466-480; https://doi.org/10.3390/covid4040031 - 11 Apr 2024
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
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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.
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(This article belongs to the Special Issue Artificial Intelligence and Machine Learning Applications for Developing the Diagnosis of COVID-19)
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Open AccessArticle
Kidney and Liver Predictors of Adults Hospitalized with COVID-19 Infection
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Mariana Boulos, Moeen Sbeit, Maamoun Basheer, Guy Ben Arie, Yuval Mirkin and Nimer Assy
COVID 2024, 4(4), 452-465; https://doi.org/10.3390/covid4040030 - 07 Apr 2024
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
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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.
Full article
(This article belongs to the Special Issue COVID-19 in Nephrology)
Open AccessArticle
Insulin Adjustments for Hospitalized COVID-19 Patients on a Fixed Dexamethasone Protocol
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Daliha Aqbal, Mariam Zakher, Sophie Nicolich-Henkin, Dajana Alku, Paula Choi, Neha Bansal and Shahidul Islam
COVID 2024, 4(4), 443-451; https://doi.org/10.3390/covid4040029 - 24 Mar 2024
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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
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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.
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Open AccessArticle
Experiences and Impacts of the COVID-19 Pandemic: A Thematic Analysis
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Catherine T. Lowe, Cheryl M. Trask, Maliha Rafiq, Lyndsay Jerusha MacKay, Nicole Letourneau, Cheuk F. Ng, Janine Keown-Gerrard, Trevor Gilbert and Kharah M. Ross
COVID 2024, 4(4), 429-442; https://doi.org/10.3390/covid4040028 - 23 Mar 2024
Cited by 1
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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
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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.
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Open AccessArticle
A Case Study of Consumer’s Attitudes towards Agro-Food Markets in Danube Microregion in COVID-19 Pandemic
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Dario Iljkić, Olgica Klepač, Dubravka Užar, Ionel Samfira, Dušan Dunđerski, Daniel Haman, Catalin Zoican, Ivana Majić and Ivana Varga
COVID 2024, 4(3), 409-428; https://doi.org/10.3390/covid4030027 - 15 Mar 2024
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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
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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.
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Open AccessArticle
Peritraumatic Distress among Chinese Canadians during the Early Lockdown Stage of the COVID-19 Pandemic: Sociodemographic and Pandemic-Related Predictors
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Alexandra Katsiris, Kesaan Kandasamy and Lixia Yang
COVID 2024, 4(3), 391-408; https://doi.org/10.3390/covid4030026 - 13 Mar 2024
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
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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.
Full article
(This article belongs to the Special Issue How COVID-19 and Long COVID Changed Individuals and Communities 2.0)
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Open AccessArticle
Evaluating Teachers’ Workplace Climate and Anxiety Response during the COVID-19 Pandemic: The Role of Information Seeking Platforms
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Medina Srem-Sai, Frank Quansah, Edmond Kwesi Agormedah, John Elvis Hagan, Jr. and Thomas Schack
COVID 2024, 4(3), 378-390; https://doi.org/10.3390/covid4030025 - 13 Mar 2024
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
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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.
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(This article belongs to the Special Issue How COVID-19 and Long COVID Changed Individuals and Communities 2.0)
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Open AccessArticle
Pro-Vaccination Flu and COVID-19 Messages: Evidence of Congenial Targeted and Spillover Effects
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James Price Dillard and Lijiang Shen
COVID 2024, 4(3), 363-377; https://doi.org/10.3390/covid4030024 - 11 Mar 2024
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
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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.
Full article
(This article belongs to the Special Issue How COVID-19 and Long COVID Changed Individuals and Communities 2.0)
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Open AccessArticle
Changes in Need, Changes in Infrastructure: A Comparative Assessment of Rural Nonprofits Responding to COVID-19
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Margaret F. Sloan, Tina Switzer, Laura Hunt Trull, Claire Switzer, Melody Eaton, Kelly Atwood and Emily Akerson
COVID 2024, 4(3), 349-362; https://doi.org/10.3390/covid4030023 - 10 Mar 2024
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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
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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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Open AccessArticle
What Was It like to Learn or Teach in the Health Professions during the COVID-19 Pandemic? Sombre and Tough: A Duoethnography
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Daniela Ruiz Cosignani and Tanisha Jowsey
COVID 2024, 4(3), 334-348; https://doi.org/10.3390/covid4030022 - 08 Mar 2024
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The 2020 COVID-19 pandemic proved challenging for people working and teaching in the health professions. What was it like to learn or teach in the health professions during the pandemic? What challenges were experienced, and how were these navigated? We undertook duoethnography to
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The 2020 COVID-19 pandemic proved challenging for people working and teaching in the health professions. What was it like to learn or teach in the health professions during the pandemic? What challenges were experienced, and how were these navigated? We undertook duoethnography to provide answers to these questions. The authors are an endodontist from Chile who undertook her Master of Clinical Education in New Zealand during the COVID-19 pandemic and one of her postgraduate supervisors. A dataset of 40 photo-reflection dyads and duoethnographic text are presented. We experienced this pandemic as isolating, sombre and tough, albeit for different reasons. Managing relationships and family needs from a distance or in the same space in which work was to occur proved difficult. Postgraduate research was slowed. The educator workload was significantly increased, especially for the first six months of the pandemic, whereby she was tasked with rapidly creating a lot of online virtual learning material. We draw on Emotional Labour theory to make sense of these experiences. Support for clinical educators during pandemics should cater to situational contexts. We recommend Communities of Practice, psychological supports, acts of care (including self-care), wellbeing initiatives, and arts-based practice as potential mechanisms to support educators and learners.
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Open AccessArticle
Prevalence and Levels of Anti-SARS-CoV-2 Antibodies in the Eswatini Population and Subsequent Severity of the Fourth COVID-19 Epidemic Wave
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Portia C. Mutevedzi, Vusie Lokotfwako, Gaurav Kwatra, Gugu Maphalala, Vicky Baillie, Lindiwe Dlamini, Senzokuhle Dlamini, Fortune Mhlanga, Tenelisiwe Dlamini, Nhlanhla Nhlabatsi, Marta C. Nunes, Simon Zwane and Shabir A. Madhi
COVID 2024, 4(3), 317-333; https://doi.org/10.3390/covid4030021 - 20 Feb 2024
Abstract
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Background: Seroepidemiology studies are useful for quantifying the magnitude of past infections and estimating the extent of population-based immunity to inform risk mitigation strategies for the future. We report on the only national population-based survey of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) immunoglobulin
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Background: Seroepidemiology studies are useful for quantifying the magnitude of past infections and estimating the extent of population-based immunity to inform risk mitigation strategies for the future. We report on the only national population-based survey of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) immunoglobulin G (IgG) seroprevalence in Eswatini. Methods: The survey was undertaken from 31 August to 30 September 2021, following three earlier waves of coronavirus disease (COVID-19), and preceded the onset of the fourth wave, which was dominated by the Omicron variant of concern. We also report on epidemiological trends of recorded COVID-19 cases and hospitalizations before and after the fourth COVID-19 wave through to March 2022. We evaluated the immunoglobulin G (IgG) seropositivity based on either anti-nucleocapsid (N) or anti-spike (S) antigens. Results: Of 4564 individuals, 58.5% were female, 36.0% were aged 18–50 years, and 863 (18.9%) of adults who were older than 18 years had received at least a single dose of COVID-19 vaccine. Overall, 2769 (60.7%) were seropositive with heterogeneity across sub-regions (53.7%; 95% CI:49.2–58.1 to 68.6%; 95% CI:64.5–72.4), with the highest rates occurring in sub-regions of the Manzini region. Seropositivity was higher in vaccinated individuals (84.5%; 95% CI: 81.9–86.7) compared to unvaccinated individuals (55.1%; 95% CI:53.5–56.7). Amongst unvaccinated individuals, seropositivity was highest in 18–50-year-olds (59.5%;95% CI: 56.9–62.1). Seropositivity was associated with female gender, previous positive SARS-CoV-2 NAAT status and being vaccinated, non-smoking, and being formally employed. We estimated as of 15 September 2021 that there had been 639,475 SARS-CoV-2 infections (95% CI; 620,824–658,003) in Eswatini, which was 25.5-fold greater than the 25,048 COVID-19 cases that had been recorded by then. The national case fatality rate (CFR) based on recorded cases was 4.8%, being 25-fold greater than the infection fatality rate (0.19; 95% CI: 0.18–0.19) based on recorded deaths and extrapolating the force of infection from seroprevalence. Nationally and across all four regions, we report the decoupling of COVID-19 cases from hospitalisations and deaths, observed as early as during the third wave, which was dominated by the Delta variant compared with earlier waves. Conclusions: We identified that 60.7% of people in Eswatini had been infected by SARS-CoV-2 at least once and before the onset of the Omicron wave in mid-November 2021. Despite a modest uptake of COVID-19 vaccines, the evolution of population immunity from infection has likely contributed to the decoupling of infection and severe COVID-19 in Eswatini.
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Open AccessArticle
Modeling COVID-19 Disease with Deterministic and Data-Driven Models Using Daily Empirical Data in the United Kingdom
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Janet O. Agbaje, Oluwatosin Babasola, Kabiru Michael Adeyemo, Abraham Baba Zhiri, Aanuoluwapo Joshua Adigun, Samuel Adefisoye Lawal, Oluwole Adegoke Nuga, Roseline Toyin Abah, Umar Muhammad Adam and Kayode Oshinubi
COVID 2024, 4(2), 289-316; https://doi.org/10.3390/covid4020020 - 18 Feb 2024
Abstract
The COVID-19 pandemic has had a significant impact on countries worldwide, including the United Kingdom (UK). The UK has faced numerous challenges, but its response, including the rapid vaccination campaign, has been noteworthy. While progress has been made, the study of the pandemic
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The COVID-19 pandemic has had a significant impact on countries worldwide, including the United Kingdom (UK). The UK has faced numerous challenges, but its response, including the rapid vaccination campaign, has been noteworthy. While progress has been made, the study of the pandemic is important to enable us to properly prepare for future epidemics. Collaboration, vigilance, and continued adherence to public health measures will be crucial in navigating the path to recovery and building resilience for the future. In this article, we propose an overview of the COVID-19 situation in the UK using both mathematical (a nonlinear differential equation model) and statistical (time series modeling on a moving window) models on the transmission dynamics of the COVID-19 virus from the beginning of the pandemic up until July 2022. This is achieved by integrating a hybrid model and daily empirical case and death data from the UK. We partition this dataset into before and after vaccination started in the UK to understand the influence of vaccination on disease dynamics. We used the mathematical model to present some mathematical analyses and the calculation of the basic reproduction number ( ). Following the sensitivity analysis index, we deduce that an increase in the rate of vaccination will decrease . Also, the model was fitted to the data from the UK to validate the mathematical model with real data, and we used the data to calculate time-varying . The homotopy perturbation method (HPM) was used for the numerical simulation to demonstrate the dynamics of the disease with varying parameters and the importance of vaccination. Furthermore, we used statistical modeling to validate our model by performing principal component analysis (PCA) to predict the evolution of the spread of the COVID-19 outbreak in the UK on some statistical predictor indicators from time series modeling on a 14-day moving window for detecting which of these indicators capture the dynamics of the disease spread across the epidemic curve. The results of the PCA, the index of dispersion, the fitted mathematical model, and the mathematical model simulation are all in agreement with the dynamics of the disease in the UK before and after vaccination started. Conclusively, our approach has been able to capture the dynamics of the pandemic at different phases of the disease outbreak, and the result presented will be useful to understand the evolution of the disease in the UK and future and emerging epidemics.
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(This article belongs to the Topic New Advances in Pathophysiology and Therapy of COVID-19 and Other Coronavirus Diseases)
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Open AccessArticle
Equitable Vaccine Access in Light of COVID-19 Vaccine Procurement Strategies in Africa
by
George L. O’Hara, Sam Halabi and Olohikhuae Egbokhare
COVID 2024, 4(2), 276-288; https://doi.org/10.3390/covid4020019 - 17 Feb 2024
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(1) Background: This study addresses two weaknesses in current international efforts to prevent and prepare for the next pandemic: the lack of robust evidence supporting global policy measures and the corresponding extent to which those measures advance equity. (2) Methods: Using UNICEF’s publicly
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(1) Background: This study addresses two weaknesses in current international efforts to prevent and prepare for the next pandemic: the lack of robust evidence supporting global policy measures and the corresponding extent to which those measures advance equity. (2) Methods: Using UNICEF’s publicly available but underused COVID-19 Market Dashboard database, we conducted a cross-sectional analysis of vaccine deliveries as of mid-2022 and vaccine procurement strategies used by African low- and lower middle-income countries (LMICs) over the course of the COVID-19 pandemic. (3) Results: Pooled procurement of the kind typified by COVAX (a clearinghouse for high-income-country contributions of vaccines and financing toward the end of equitable LMIC procurement) crowded out alternative strategies that must be supported in future: regional procurement, donation, and bilateral procurement (binding agreement between two parties: one seller (i.e., a national government or a vaccine manufacturer) and one recipient (i.e., national government)), which showed a significant relationship with technology transfer and advancing local production capacity. (4) Conclusions: Expanding the scope of vaccine procurement alternatives to COVAX such as regional pooled procurement and bilateral procurement can stratify risk of supply agreements not materializing in actual supply. Sharing the technology necessary to produce vaccines with LMICs can mitigate obstacles to bilateral procurement. A pooled purchase alliance to procure vaccine doses on behalf of participating countries within a given region can benefit LMICs by accounting for infrastructure limitations that these countries share. Finally, donations bolster global redistributed supply essential to LMICs.
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