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
Computational Discovery of Novel Imidazole Derivatives as Inhibitors of SARS-CoV-2 Main Protease: An Integrated Approach Combining Molecular Dynamics and Binding Affinity Analysis
COVID 2024, 4(6), 672-695; https://doi.org/10.3390/covid4060046 (registering DOI) - 23 May 2024
Abstract
►
Show Figures
One of the most pressing challenges associated with SARS treatment is the emergence of new variants that may be transmissible, causing more severe disease or being resistant to the current standard of treatment. This study aimed to identify potential drug candidates from novel
[...] Read more.
One of the most pressing challenges associated with SARS treatment is the emergence of new variants that may be transmissible, causing more severe disease or being resistant to the current standard of treatment. This study aimed to identify potential drug candidates from novel imidazole derivatives against SARS-CoV-2 main protease (Mpro), a crucial drug target for treating viral infection, using a computational approach that integrated molecular docking and dynamics simulation. In this study, we utilized AutoDock Vina within the PyRx workspace for molecular docking analysis to explore the inhibitory effects of the compounds on the Mpro, a drug target for SARS-CoV-2. The ADMET properties of these compounds, including absorption, distribution, metabolism, excretion, and toxicity, were evaluated using the SwissADME and ADMETLab servers. Each of the 18 compounds that were tested demonstrated strong binding affinities towards Mpro, with imidazolyl–methanone C10 showing the most significant binding affinity. Moreover, pyridyl–imidazole C5, thiophenyl–imidazole C1, and quinoline–imidazole C14 displayed binding affinities of −8.3, −8.2, and −7.7 Kcal/mol, respectively. These compounds interacted with specific amino acid residues (HIS A:41—CYS A:145) within the Mpro protein. To assess the stability of the ligand with the best binding affinity, molecular dynamics (MD) simulations were conducted using Schrodinger software, which revealed its stability over the simulation period. The study provides valuable insights into the potential of imidazole derivatives as SARS-CoV-2 Mpro inhibitors. All compounds including C10 display promising characteristics and hold potential as drug candidates for SARS-CoV-2. However, further optimization and experimental validation of these compounds are necessary to advance their development as effective therapeutics against viral infections.
Full article
Open AccessArticle
How Political Ideology and Media Shaped Vaccination Intention in the Early Stages of the COVID-19 Pandemic in the United States
by
Dilshani Sarathchandra and Jennifer Johnson-Leung
COVID 2024, 4(5), 658-671; https://doi.org/10.3390/covid4050045 - 20 May 2024
Abstract
►▼
Show Figures
As a pharmaceutical intervention, vaccines remain a major public health strategy for mitigating the effects of COVID-19. Yet, vaccine intake has been affected by various cognitive and cultural factors. We examine how a selected set of factors (i.e., knowledge, concern, media, peer influence,
[...] Read more.
As a pharmaceutical intervention, vaccines remain a major public health strategy for mitigating the effects of COVID-19. Yet, vaccine intake has been affected by various cognitive and cultural factors. We examine how a selected set of factors (i.e., knowledge, concern, media, peer influence, and demographics) shaped COVID-19 vaccination intention in the early phase of the pandemic (Fall 2020). Using a survey conducted in three US states (Idaho, Texas, and Vermont) just prior to the rollout of the first vaccines against COVID-19, we find that COVID-19 concern was the primary driver of vaccination intention. Concern was shaped mainly by two factors: political ideology and media sources. Yet, ideology and media were much more important in affecting concern for those who leaned politically conservative, as opposed to those who leaned liberal or remained moderate. The results from our structural equation models affirm that the information politically conservative respondents were receiving reinforced the effects of their ideology, leading to a greater reduction in their concern. We discuss the potential implications of these findings for future pandemic preparedness.
Full article
Figure 1
Open AccessCommunication
Mortality of Laryngeal Cancer before and during the COVID-19 Pandemic
by
Riccardo Nocini, Giuseppe Lippi and Camilla Mattiuzzi
COVID 2024, 4(5), 652-657; https://doi.org/10.3390/covid4050044 - 17 May 2024
Abstract
►▼
Show Figures
(1) Background: The interplay between coronavirus disease 2019 (COVID-19) and laryngeal cancer represents a substantial challenge for both patients and healthcare. To garner information on recent mortality data for laryngeal cancer, including during the COVID-19 pandemic, we analyzed real-world data from the US
[...] Read more.
(1) Background: The interplay between coronavirus disease 2019 (COVID-19) and laryngeal cancer represents a substantial challenge for both patients and healthcare. To garner information on recent mortality data for laryngeal cancer, including during the COVID-19 pandemic, we analyzed real-world data from the US Centers for Disease Control and Prevention (CDC). (2) Methods: We searched the CDC WONDER online database 2018–2022 using the ICD-10 code for laryngeal cancer (C32; malignant neoplasm of the larynx). We also performed a sub-analysis between genders and across ten-year age groups. The data were analyzed with one-way analysis of variance (ANOVA) and Tukey’s post hoc test. (3) Results: The trend of age-adjusted mortality ×100,000 did not change significantly between the years 2018 and 2022 (p = 0.553). Males had higher age-adjusted mortality rates (M/F ratios between 4.6 and 5.0), but no significant variation was found in both genders (males: p = 0.676; females: p = 0.596). Although the mortality rate remained unchanged in people aged 35–84 years, the variation reached statistical significance in those aged 85 or older (p = 0.004), displaying a significant increase in 2021 compared to 2018 (p = 0.006) and 2019 (p = 0.039). (4) Conclusions: The impact of the COVID-19 pandemic on mortality for laryngeal cancer seems to be relatively modest in the general US population. Nevertheless, closer attention must be paid to older people, for whom the unfavorable consequences of misdiagnosis or mistreatment of this and other types of cancers can be exacerbated.
Full article
Figure 1
Open AccessCommunication
COVID-19 Therapeutics Use by Social Deprivation Index in England, July 2020–April 2023
by
Angela Falola, Hanna Squire, Sabine Bou-Antoun, Alessandra Løchen, Colin S. Brown and Alicia Demirjian
COVID 2024, 4(5), 645-651; https://doi.org/10.3390/covid4050043 - 15 May 2024
Abstract
►▼
Show Figures
Coronavirus disease-19 (COVID-19) has disproportionately affected certain demographics in England, exacerbating existing health disparities. Effective therapeutics are a critical line of defence against COVID-19, particularly for patients at elevated risk for severe disease. Surveillance systems were established to monitor the usage of COVID-19
[...] Read more.
Coronavirus disease-19 (COVID-19) has disproportionately affected certain demographics in England, exacerbating existing health disparities. Effective therapeutics are a critical line of defence against COVID-19, particularly for patients at elevated risk for severe disease. Surveillance systems were established to monitor the usage of COVID-19 therapeutics in hospital and community settings and to inform stewardship. Three antiviral therapies—nirmatrelvir plus ritonavir (Paxlovid®), remdesivir (Veklury®), and molnupiravir (Lagevrio®)—and two neutralising monoclonal antibody therapies (nMAbs)—sotrovimab (Xevudy®) and casirivimab with imdevimab (Ronapreve®)—were in use in England between July 2020 and April 2023. This paper aims to illuminate trends in the utilisation of COVID-19 therapeutics treatment in both hospital and community settings, stratified by the Index of Multiple Deprivation (IMD) in England. Chapter 3 of the English Surveillance Programme for Antimicrobial Utilisation and Resistance (ESPAUR) Report 2022 to 2023 also discusses the epidemiological surveillance of these five directly acting antiviral COVID-19 therapeutics’ use in England between 2022 and 2023.
Full article
Figure 1
Open AccessArticle
Impact and Occurrence of Herpesvirus and Aspergillosis Superinfection in Patients with Severe COVID-19 Pneumonia
by
Antoinette D. Reichert, Júlia M. da Silva Voorham, Karin H. Groenewegen and Huub La van den Oever
COVID 2024, 4(5), 637-644; https://doi.org/10.3390/covid4050042 - 13 May 2024
Abstract
►▼
Show Figures
Background: Pulmonary superinfections with Herpesviridae and Aspergillus spp. are common in severe coronavirus disease 2019 (COVID-19) pneumonia but their epidemiology and impact remain poorly understood. Methods: We conducted a retrospective observational study of 61 mechanically ventilated COVID-19 patients at Deventer Hospital’s ICU (2020–2021)
[...] Read more.
Background: Pulmonary superinfections with Herpesviridae and Aspergillus spp. are common in severe coronavirus disease 2019 (COVID-19) pneumonia but their epidemiology and impact remain poorly understood. Methods: We conducted a retrospective observational study of 61 mechanically ventilated COVID-19 patients at Deventer Hospital’s ICU (2020–2021) who underwent bronchoalveolar lavage (BL) due to clinical deterioration. We analyzed blood and respiratory samples, treatment, and clinical outcomes. Results: Among 61 mechanically ventilated COVID-19 patients who underwent BL, 34 (55.7%) had superinfections, with 18 having COVID-19-associated pulmonary aspergillosis (CAPA), 7 having herpes simplex virus (HSV) infection, and 9 having both. Patients with HSV had later diagnoses (median 14 vs. 8 days, p = 0.014), longer mechanical ventilation (median 47 vs. 18.5 days, p = 0.015), and longer ICU stays (median 74 vs. 24 days, p = 0.021) compared to CAPA patients. At baseline, laboratory parameters and treatment (dexamethasone or tocilizumab) showed no significant association with superinfections. Mortality did not differ significantly among groups. Conclusion: In mechanically ventilated COVID-19 patients undergoing bronchoalveolar lavage, HSV reactivation occurred later in the course of illness and was associated with longer mechanical ventilation and ICU stays compared to CAPA. Baseline parameters did not predict superinfections.
Full article
Figure 1
Open AccessArticle
Assessing the Impact of COVID-19 on Subjective Well-Being and Quality of Life in Mexico: Insights from Structural Equation Modeling
by
Ignacio Alejandro Mendoza-Martínez, Edmundo Marroquín-Tovar, Jorge Pablo Rivas-Díaz, Araceli Durand, Gustavo Enrique Sauri-Alpuche and Blanca Rosa Garcia-Rivera
COVID 2024, 4(5), 605-636; https://doi.org/10.3390/covid4050041 - 13 May 2024
Abstract
Amid the backdrop of the COVID-19 pandemic, the living conditions of the population were dramatically altered, with social distancing measures and the looming threat to public health leaving a profound impact on people’s lives. This study aims to assess the influence of COVID-19
[...] Read more.
Amid the backdrop of the COVID-19 pandemic, the living conditions of the population were dramatically altered, with social distancing measures and the looming threat to public health leaving a profound impact on people’s lives. This study aims to assess the influence of COVID-19 on subjective well-being and overall quality of life in Mexico. A structural model with latent variables was used. Data were extracted from the National Self-Reported Well-being Survey (SWLS) from October 2020 and January 2021, featuring a robust sample size of 3615 residents from urban areas in Mexico, all aged 18 and above. Findings revealed that around 38% of the variance in overall life satisfaction in October 2020 and January 2021 could be attributed to Personal well-being (0.231), Personal satisfaction (0.320), Satisfaction with the environment (0.076), and Negative emotional states (−0.116). In comparison, October 2019 to January 2020 saw a lower 20% explained variance, primarily associated with Personal well-being (0.184), Personal satisfaction (0.270), and Satisfaction with the environment (0.052). Reliability assessments, including Cronbach’s Alpha coefficients, Rho_a, and Composite Reliability, all surpassed 0.70 for each subscale. In addition, our study confirmed convergent validity, as the Average Variance Extracted (AVE) consistently exceeded 0.50 across all subscales, while the discriminant coefficient exceeded 0.70.
Full article
(This article belongs to the Special Issue Analysis of Modeling and Statistics for COVID-19)
►▼
Show Figures
Figure 1
Open AccessArticle
The Relationship between Coping Strategies and State Anxiety during COVID-19 Lockdown: The Role of Perceived Emotional Intelligence
by
Alessandro Geraci, Laura Di Domenico and Antonella D’Amico
COVID 2024, 4(5), 592-604; https://doi.org/10.3390/covid4050040 - 12 May 2024
Abstract
►▼
Show Figures
Background: The outbreak of the COVID-19 pandemic has caused an unprecedented and unexpected change all around the globe. The long-term effects are still ongoing, especially those related to the confinement measures. The study took place during the first COVID-19 lockdown in Italy, where
[...] Read more.
Background: The outbreak of the COVID-19 pandemic has caused an unprecedented and unexpected change all around the globe. The long-term effects are still ongoing, especially those related to the confinement measures. The study took place during the first COVID-19 lockdown in Italy, where everyone was forced to stay home in order to reduce the spread of the virus. The aim was to investigate the role of perceived emotional intelligence abilities (PEI) in coping with COVID-19-related anxiety. Methods: A cross-sectional study design was employed, and this study used an online survey launched through social networks, inviting adults to participate. The participants anonymously completed a three-scale online measurement of self-reported emotional abilities, coping strategies (approach and avoidance), and state anxiety towards COVID-19. Results: perceived emotional intelligence and approach coping significantly predicted state anxiety. In addition, perceived emotional intelligence mediated the relationship between approach coping and state anxiety. Conclusions: the study highlights the positive role of perceived emotional abilities in dealing with the unprecedented event represented by the COVID-19 pandemic, and in particular, in coping with anxiety related to lockdown and confinement. Their results highlight the importance of fostering emotional intelligence for navigating critical life events.
Full article
Figure 1
Open AccessReview
Conceptual and Methodological Barriers to Understanding Long COVID
by
Leonard A. Jason and Nicole Hansel
COVID 2024, 4(5), 582-591; https://doi.org/10.3390/covid4050039 - 29 Apr 2024
Abstract
This article focuses on individuals with Long COVID after contracting SARS-CoV-2. Although some patients have complications such as diabetes mellitus or tissue damage to the heart or lungs as a result of SARS-CoV-2 infection, our research focuses on individuals who have persistent symptoms
[...] Read more.
This article focuses on individuals with Long COVID after contracting SARS-CoV-2. Although some patients have complications such as diabetes mellitus or tissue damage to the heart or lungs as a result of SARS-CoV-2 infection, our research focuses on individuals who have persistent symptoms that are not consistent with major organ dysfunction. The current article reviews methodological and conceptual issues that need to be considered in the development and use of a case definition for Long COVID and discusses the significance of appropriately phrasing questions assessing symptoms, specifying thresholds for when to count a symptom, determining how many symptoms should be required for a diagnosis, assessing symptoms over time, using multiple assessment modalities, and differentiating symptomatology from functionality. Dealing with these issues, particularly triangulating data from multiple sources, allows investigators to develop a more reliable and valid way to assess Long COVID.
Full article
Open AccessArticle
Mutation Trajectory of Omicron SARS-CoV-2 Virus, Measured by Principal Component Analysis
by
Tomokazu Konishi and Toa Takahashi
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
[...] Read more.
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.
Full article
(This article belongs to the Special Issue Analysis of Modeling and Statistics for COVID-19)
►▼
Show Figures
Figure 1
Open AccessSystematic Review
COVID-19 Vaccine Acceptance and Hesitancy among Teachers and Students: A Scoping Review of Prevalence and Risk Factors
by
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
Abstract
►▼
Show Figures
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
[...] Read more.
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.
Full article
Figure 1
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
by
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
Abstract
►▼
Show Figures
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
[...] Read more.
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.
Full article
Figure 1
Open AccessArticle
Belief in Conspiracy Theories about COVID-19 Vaccines among Brazilians: A National Cross-Sectional Study
by
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
[...] Read more.
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
by
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
[...] Read more.
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.
Full article
Open AccessArticle
Identifying the Predictors of Pediatric Vaccine Uptake during the COVID-19 Pandemic
by
Colleen Phan, Brandon Mercado, Justin Travis and Ginny Webb
COVID 2024, 4(4), 495-505; https://doi.org/10.3390/covid4040033 - 16 Apr 2024
Abstract
►▼
Show Figures
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.
[...] Read more.
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.
Full article
Figure 1
Open AccessReview
New-Onset Diabetes Mellitus after COVID-19: Combined Effects of SARS-CoV-2 Variants, Molecular Mimicry, and m6A RNA Methylation
by
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
Abstract
►▼
Show Figures
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
[...] Read more.
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.
Full article
Figure 1
Open AccessReview
A Review of Environmental Factors for an Ontology-Based Risk Analysis for Pandemic Spread
by
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
[...] Read more.
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.
Full article
(This article belongs to the Special Issue Artificial Intelligence and Machine Learning Applications for Developing the Diagnosis of COVID-19)
►▼
Show Figures
Figure 1
Open AccessArticle
Kidney and Liver Predictors of Adults Hospitalized with COVID-19 Infection
by
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 - 7 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
[...] Read more.
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
by
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
Abstract
►▼
Show Figures
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
[...] Read more.
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.
Full article
Figure 1
Open AccessArticle
Experiences and Impacts of the COVID-19 Pandemic: A Thematic Analysis
by
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
Abstract
►▼
Show Figures
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
[...] Read more.
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.
Full article
Figure 1
Open AccessArticle
A Case Study of Consumer’s Attitudes towards Agro-Food Markets in Danube Microregion in COVID-19 Pandemic
by
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
Abstract
►▼
Show Figures
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
[...] Read more.
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.
Full article
Figure 1
Highly Accessed Articles
Latest Books
E-Mail Alert
News
Topics
Topic in
Behavioral Sciences, COVID, EJIHPE, Societies, IJERPH, Healthcare
Cultural Differences and Migrant Mental Health in the Age of COVID-19
Topic Editors: Vsevolod Konstantinov, Andrés Alexis Ramírez CoronelDeadline: 30 September 2024
Conferences
Special Issues
Special Issue in
COVID
Artificial Intelligence and Machine Learning Applications for Developing the Diagnosis of COVID-19
Guest Editor: Somenath ChakrabortyDeadline: 15 June 2024
Special Issue in
COVID
Analysis of Modeling and Statistics for COVID-19
Guest Editors: Martin Kröger, Reinhard Schlickeiser, Pierre Magal, Jacques DemongeotDeadline: 30 June 2024
Special Issue in
COVID
How COVID-19 and Long COVID Changed Individuals and Communities 2.0
Guest Editors: Chiara Lorini, Mirko Duradoni, Andrea Guazzini, Guglielmo Bonaccorsi, Letizia MaterassiDeadline: 31 July 2024