First cases of coronavirus disease 2019 (COVID-19) in the WHO European Region, 24 January to 21 February 2020

Post-COVID-19: Time to Change Our Way of Life for a Better Future

Background and Objectives: From the year 1 anno Domini until 1855, with the third plague, major pandemics occurred on average every 348 years. Since then, they have occurred on average every 33 years, with coronavirus disease 2019 (COVID-19) now underway. Even though current technologies have greatly improved the way of life of human beings, COVID-19, with more than 700,000,000 cases and 6,950,000 deaths worldwide by the end of 2023, reminds us that much remains to be done. This report looks back at 18 months of COVID-19, from March 2020 to August 2021, with the aim of highlighting potential solutions that could help mitigate the impact of future pandemics. Materials and Methods: COVID-19 data, including case and death reports, were extracted daily from the Worldometer platform to build a database for the macroscopic analysis of the spread of the virus around the world. Demographic data were integrated into the COVID-19 database for a better understanding of the spatial spread of the SARS-CoV-2 virus in cities/municipalities. Without loss of generality, only data from the top 30 (out of 200 and above) countries ranked by total number of COVID-19 cases were analyzed. Statistics (regression, t-test (p < 0.05), correlation, mean ± std, etc.) were carried out with Excel software (Microsoft® Excel® 2013 (15.0.5579.1001)). Spectral analysis, using Matlab software (license number: 227725), was also used to try to better understand the temporal spread of COVID-19. Results: This study showed that COVID-19 mainly affects G20 countries and that cities/municipalities with high population density are a powerful activator of the spread of the virus. In addition, spectral analysis highlighted that the very first months of the spread of COVID-19 were the most notable, with a strong expansion of the SARS-CoV-2 virus. On the other hand, the following six months showed a certain level of stability, mainly due to multiple preventive measures such as confinement, the closure of non-essential services, the wearing of masks, distancing of 2 m, etc. Conclusion: Given that densely populated cities and municipal areas have largely favored the spread of the SARS-CoV-2 virus, it is believed that such a demographic context is becoming a societal problem that developed countries must address in a manner that is adequate and urgent. COVID-19 has made us understand that it is time to act both preventatively and curatively. With phenomenological evidence suggesting that the next pandemic could occur in less than 50 years, it may be time to launch new societal projects aimed at relieving congestion in densely populated regions.

Psychophysiological Adaptations to Exercise Training in COVID-19 Patients: A Systematic Review

Introduction

Many COVID-19 patients display adverse symptoms, such as reduced physical ability, poor quality of life, and impaired pulmonary function. Therefore, this systematic review is aimed at evaluating the effectiveness of physical exercise on various psychophysiological indicators among COVID-19 patients who may be at any stage of their illness (i.e., critically ill, hospitalized, postdischarge, and recovering).

Methods

A systematic search was conducted in PubMed, Scopus, ScienceDirect, Web of Science, and Google Scholar from 2019 to 2021. Twenty-seven studies, which assessed a total of 1525 patients, were included and analysed.

Results

Overall, data revealed significant improvements in the following parameters: physical function, dyspnoea, pulmonary function, quality of life (QOL), lower limb endurance and strength, anxiety, depression, physical activity level, muscle strength, oxygen saturation, fatigue, C-reactive protein (CRP), interleukin 6 (IL-6), tumour necrosis factor-alpha (TNF-α), lymphocyte, leukocytes, and a fibrin degradation product (D-dimer).

Conclusions

Physical training turns out to be an effective therapy that minimises the severity of COVID-19 in the intervention group compared to the standard treatment. Therefore, physical training could be incorporated into conventional treatment of COVID-19 patients. More randomized controlled studies with follow-up evaluations are required to evaluate the long-term advantages of physical training. Future research is essential to establish the optimal exercise intensity level and assess the musculoskeletal fitness of recovered COVID-19 patients. This trial is registered with CRD42021283087.

Knowledge, attitude and preventive practice toward Covid-19 and associated factors among outpatients in a rural hospital in Vietnam

Background

The COVID-19 pandemic has emphasized the critical role of public knowledge, attitudes, and practices (KAP) in disease containment. Understanding these aspects can guide health promotion initiatives and policy decisions.

Design and methods

This cross-sectional study examined the KAP concerning COVID-19 prevention in Vietnam. Participants' sociodemographic data, along with KAP toward COVID-19, were collected in a survey utilizing a standardized questionnaire. Uni- and multivariable logistic regression were used to identify factors associated with poor level of KAP.

Results

Of 335 participants, 97 (28.9%) had poor knowledge, 52 (15.5%) poor attitude, and 48 (14.3%) poor practices. Older age (OR = 2.23; p = 0.024), minority non-Kinh ethnicity (OR = 3.05; p = 0.03), education below high school (OR = 8.80; p < 0.001), limited social media access (OR = 2.86; p = 0.002), and limited mobile phone usage (OR = 3.08; p = 0.001) increased poor knowledge risks. Non-Kinh ethnicity (OR = 5.00; p = 0.005) and lower education (OR = 14.79; p < 0.001) were linked to poor attitude. Older age (OR = 2.26; p = 0.035), lower education (OR = 5.74; p = 0.003), and poor knowledge (OR = 3.33; p = 0.005) were associated with poor practices.

Conclusions

Elderly individuals, those with low education, and limited media access had elevated risks of poor KAP. Emphasizing public health media and targeted education, especially for underserved groups, is vital for effective epidemic management and future strategy planning.

[Influence of the Corona pandemic on cardiovascular risk factors - Data from 1775 participants of the ELITE study before and during the Corona pandemic]

BACKGROUND

 The COVID-19 pandemic and its interventions have led to a deficit in medical care and changes in people's lifestyles, which has consequently changed cardio- and cerebrovascular primary and secondary prevention. The existing data are mainly based on surveys. In addition to the problem of the accuracy of self-assessments, the pandemic per se and the massive public reporting may have biased the data.Only a few publications have compared data collected before the pandemic with results during the pandemic. The ELITE study has regularly monitored risk factors (RF) and psychosocial parameters (stress, depression, well-being, diet, brain performance, exercise) in over 5000 participants for years. From this study, data were analyzed from 1775 individuals collected before the onset and again during the pandemic (06/05/2020-25/01/2022). Thus, baseline values were unaffected by the pandemic.

RESULTS

 As expected, both improvements and worsening of the collected parameters were found. Blood pressure and depressive symptoms worsened significantly more often, with women more frequently affected. Weight and stress levels also increased more often than they improved. Only physical activity showed a slight increase. 24.1 % showed only deteriorations and no improvements in these parameters. In contrast, 19.6 % showed improvements exclusively. In the group with only worsening, there was a significant increase in individuals with the risk factors (RF) hypertension, obesity, elevated LDL cholesterol, nicotine, and diabetes mellitus. This resulted in an increase in individuals with 2 or more RF. In contrast, the number of individuals with 2 and more RF decreased in the group with only improvements. Strikingly, individuals with risk factors improved more frequently.

CONCLUSION

 A not insignificant part of the population experienced significant worsening of RF during the pandemic. This particularly affected blood pressure and depressive symptoms, and more often women.

Comparative analysis of bioinformatics tools to characterize SARS-CoV-2 subgenomic RNAs

During the replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), positive-sense genomic RNA and subgenomic RNAs (sgRNAs) are synthesized by a discontinuous process of transcription characterized by a template switch, regulated by transcription-regulating sequences (TRS). Although poorly known about makeup and dynamics of sgRNAs population and function of its constituents, next-generation sequencing approaches with the help of bioinformatics tools have made a significant contribution to expand the knowledge of sgRNAs in SARS-CoV-2. For this scope to date, Periscope, LeTRS, sgDI-tector, and CORONATATOR have been developed. However, limited number of studies are available to compare the performance of such tools. To this purpose, we compared Periscope, LeTRS, and sgDI-tector in the identification of canonical (c-) and noncanonical (nc-) sgRNA species in the data obtained with the Illumina ARTIC sequencing protocol applied to SARS-CoV-2-infected Caco-2 cells, sampled at different time points. The three software showed a high concordance rate in the identification and in the quantification of c-sgRNA, whereas more differences were observed in nc-sgRNA. Overall, LeTRS and sgDI-tector result to be adequate alternatives to Periscope to analyze Fastq data from sequencing platforms other than Nanopore.

Adverse events during the COVID-19 pandemic in Ecuador: high frequency of healthcare-associated infections and increasing hospital stay and costs

Background

The COVID-19 pandemic generated high workloads given the high volume of seriously ill patients; conditions that could increase the risk of adverse events (AE). This study analyzed the frequency of AE in patients with COVID-19 and their effect on mortality, hospital stay and costs.

Methods

This retrospective cohort study included in-patients with COVID-19 at a single hospital between March 2020-June 2021. Exposure was the occurrence of at least one AE. Hospital stay, costs and death were considered outcomes. Clinical information and direct costs were obtained from medical and billing records. Generalized linear models were used to estimate the association measures.

Results

405 patients were included, 55.8% (n=226) men, median age 56 years (IQR: 41.0-70.0) and with a history of hypertension (26.2%; n=106), diabetes mellitus (13.8%; n=56) and obesity (13.8%; n=56). The incidence of AE was 13.3% (n=54), 29 patients presented more than one AE, for a total of 70 events. Most events (74.3%; n=52) were preventable and the most frequent were healthcare-associated infections (50%; n=35), phlebitis (14.3%; n=10) and pressure ulcers (12.9%; n=9). AE prolonged hospital stay (change rate: 1.57; 95%CI: 1.26-1.95; P=0.001) and increased direct healthcare costs (change rate: 1.20; 95% CI: 1.03-1.39, P=0.019). Likewise, the risk of death was 56% higher in patients with AE.

Conclusion

Pandemics are unexpected events that present challenges to safe healthcare. Improving quality policies, monitoring compliance with protocols and providing ongoing education are strategies to prevent AE such as healthcare-associated infections, which increase hospital costs and stay.

Post-traumatic stress disorder symptoms and quality of life among older patients with cancer during the COVID-19 pandemic

INTRODUCTION

The Coronavirus (COVID-19) pandemic and its associated health restrictions have harmed the population psychologically. We aimed to compare the post-traumatic stress disorder (PTSD) symptoms and Quality of Life (QoL) in older French patients with cancer to the younger ones.

MATERIALS AND METHODS

This longitudinal multicenter study named COVIPACT began in April 2020 during the first French lockdown and has included 579 outpatients receiving treatment for a solid or hematological malignancy. Data were collected every three months, namely at the first release period (M3), at the second lockdown (M6), at the second release period (M9), and finally at the last curfew period (M12) in France. Standardized validated self-questionnaires were used to assess PTSD symptoms (using the Event Scale-Revised self-questionnaire), insomnia (through the Insomnia Severity Index questionnaire), QoL (using the Functional Assessment of Cancer Therapy - General questionnaire), and cognitive complaints (through the Functional Assessment of Cancer Therapy - Cognition questionnaire). Student (or Wilcoxon) tests and Chi-squared tests were used for continuous or discrete variables, respectively. We conducted linear mixed model to study the change during follow-up.

RESULTS

Out of 579 included patients, 157 (27%) were ≥ 70 years old at baseline, of whom 104 participated in the longitudinal study. At baseline, older patients reported fewer PTSD symptoms (17% versus 23%, p = .06), insomnia (17% versus 27%, p = .02), and cognitive complaint (3% versus 16%, p < .01) than younger patients. QoL at baseline was similar between age subgroups. We observed no significant difference in the trajectory of PTSD symptoms, insomnia, or emotional well-being between both groups during the follow-up. Cognitive complaints were lower at baseline in older patients but steadily increased during the follow-up and reached the same level as younger patients at one year.

DISCUSSION

One in five older patients reported PTSD symptoms, evolving similarly to younger patients during the first year of the COVID-19 pandemic. While cognitive complaints tend to recover in a bell-shaped curve at one year in younger patients, the trend is increasing in older ones. Screening for PTSD symptoms and late cognitive impairment should be given special attention in older patients.

TRIAL REGISTRATION

Clinicaltrials.gov identifier: NCT04366154.

Impact on mental health, disease management, and socioeconomic modifications in hematological patients during the COVID-19 pandemic in Italy

Background

Hematological patients are a highly vulnerable population with an increased risk of developing severe COVID-19 symptoms due to their immunocompromised status. COVID-19 has proven to cause serious mental health issues, such as stress, anxiety, and depression in the general population. However, data on the psycho-social impact of COVID-19 on hematological patients are lacking.

Objectives

This study aims to examine the psychological well-being of hematological patients in Italy during the initial period of the COVID-19 pandemic. Furthermore, it seeks to explore the association between modifications in the management of hematological diseases and employment status of these patients during the COVID-19 pandemic and the resulting mental health outcomes.

Design and Methods

A survey using the DASS-21 questionnaire was administered to 1105 hematological patients. Data analysis was conducted using the R software, and logistic regression analysis was performed to predict the association between hematological patient/general population and employment status with DASS scores.

Results

The hematological patient population reported significantly higher levels of depression (OR 0.947, 95% CI 0.966-0.982, p < 0.001), anxiety (OR 0.948, 95% CI 0.939-0.958, p < 0.001), and stress (OR 0.984, 95% CI 0.977-0.992, p < 0.001) compared with the general population. A significant relationship has been found in stress between employed and unemployed patients (OR 1.015, 95% CI 1.000-1.030, p = 0.044), as well as in the control group (OR 1.024, 95% CI 1.010-1.039, p = 0.001). In addition, employment status is significantly related to depression, anxiety, and stress in both the hematological patient group and the general population.

Conclusion

During the initial phase of the COVID-19 pandemic, hematological patients had elevated levels of depression, anxiety, and stress compared with the general population. The delay in their treatment and employment status played a role in their mental health outcomes. These findings emphasize the importance of further research to gain deeper insight into the long-term psychological effects and explore effective strategies for managing mental health in similar crises.

Neurological complications and effects of COVID-19: Symptoms and conceivable mechanisms

A novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in December 2019 in Wuhan, China. The new coronavirus disease (COVID-19) was declared a global pandemic by the World Health Organization (WHO) in March 2020. SARS-CoV-2 can invade the nervous system aside from infecting the respiratory system as its primary target. The most common nervous system symptoms of COVID-19 are stated as headache, myalgia, fatigue, nausea, vomiting, sudden and unexplained anosmia, and ageusia. More severe conditions such as encephalomyelitis, acute myelitis, thromboembolic events, ischemic stroke, intracerebral hemorrhage, Guillain-Barré-syndrome, Bell's palsy, rhabdomyolysis, and even coma have also been reported. Cohort studies revealed that neurological findings are associated with higher morbidity and mortality. The neurological symptoms and manifestations caused by SARS-CoV-2 and COVID-19 are examined and summarized in this article.

The Penn Medicine COVID-19 Therapeutics Committee-Reflections on a Model for Rapid Evidence Review and Dynamic Practice Recommendations During a Public Health Emergency

The Penn Medicine COVID-19 Therapeutics Committee-an interspecialty, clinician-pharmacist, and specialist-front line primary care collaboration-has served as a forum for rapid evidence review and the production of dynamic practice recommendations during the 3-year coronavirus disease 2019 public health emergency. We describe the process by which the committee went about its work and how it navigated specific challenging scenarios. Our target audiences are clinicians, hospital leaders, public health officials, and researchers invested in preparedness for inevitable future threats. Our objectives are to discuss the logistics and challenges of forming an effective committee, undertaking a rapid evidence review process, aligning evidence-based guidelines with operational realities, and iteratively revising recommendations in response to changing pandemic data. We specifically discuss the arc of evidence for corticosteroids; the noble beginnings and dangerous misinformation end of hydroxychloroquine and ivermectin; monoclonal antibodies and emerging viral variants; and patient screening and safety processes for tocilizumab, baricitinib, and nirmatrelvir-ritonavir.

Factors associated with perceived fear of future pandemics and/or epidemics: a cross-sectional study in Cyprus

This study aims to understand the levels of fear experienced by individuals regarding future pandemics and/or epidemics among the general population of Cyprus and comprehensively examine the diverse factors that influence this perceived fear. The cross-sectional study was conducted from October 1st, 2022, to February 19th, 2023. A proportionate quota sampling method was used for the recruitment, by recruiting a fixed number of participants from each age group, sex, and place of residence. The study collected information on sociodemographic and health-related characteristics, health literacy, trust, COVID-19 vaccination information, and perceived fear of future epidemics and/or pandemics using a self-administered questionnaire. The survey included 1075 participants, with 53.7% of them reporting fear of future pandemics. Logistic regression analysis revealed that women (OR = 2.37, 95% CI 1.78, 3.16) and individuals vaccinated against COVID-19 (OR = 1.57, 95% CI 1.02, 2.43) were significantly more likely to experience fear of future pandemics. Moreover, higher levels of trust (OR = 1.04, 95% CI 1.02, 1.06) and higher health literacy (OR = 1.05, 95% CI 1.03, 1.08) were associated with an increased likelihood of fearing future pandemics. Conversely, unemployment (OR = 0.30, 95% CI 0.13, 0.65) and having a postgraduate education decreased the likelihood of fearing future pandemics (OR = 0.56, 95% CI 0.34, 0.90). The linear regression model revealed that older age (β = - 0.10, 95% CI - 0.14, - 0.05) was negatively associated with a higher score of fear regarding future pandemics. Conversely, being in a vulnerable group (β = 2.02, 95% CI 0.75, 3.28) and having at least one chronic disease (β = 1.76, 95% CI 0.68, 2.84) showed positive associations with increased fear of future epidemics and/or pandemics. The findings emphasize the need for relevant authorities to prioritize mental health and disseminate information in a manner that avoids spreading fear and panic, particularly among vulnerable population groups.

[Impact of the COVID-19 pandemic and the strict population confinement on hip fracture incidence in Spain: A systematic review]

BACKGROUND AND OBJECTIVE

During the COVID-19 pandemic, a strict population confinement was decreed in Spain. In a situation of health crisis and health system saturation, knowledge of pathologies whose treatment cannot be delayed is of great importance for the correct management of resources and processes. The objective was to determine the influence of the COVID-19 pandemic and the strict population confinement on hip fracture incidence in Spain.

MATERIAL AND METHOD

Systematic review following the PRISMA guidelines. Search in Pubmed and Chocrane Library on 11/11/2022: hip fracture and COVID-19 and Spain.

RESULTS

Six studies met the inclusion criteria, 50% showed a decrease in the hip fractures incidence during strict population confinement (all in Comunidad de Madrid hospitals), and in the other 50% there were no differences (all in other region hospitals). It was constant that hip fractures, either did not decrease, or decreased much less than the rest of fractures during the period of strict population confinement, increasing their relative number with respect to the total admissions in orthopedic surgery and traumatology.

CONCLUSIONS

The behavior of the hip fractures number during the strict population confinement decreed by the COVID-19 pandemic has not been symmetrical in all regions. To design and implement contingency plans in the event of a pandemic situation, these data must be taken into account in order to properly plan material and human resources.

Acceptance of COVID-19 vaccination among parents of children with autism and other neurodevelopmental disorders in Saudi Arabia: a cross-sectional study

BACKGROUND

Acceptance of COVID-19 vaccination was noticed to be less common among parents of children with autism spectrum disorder (ASD) and other neurodevelopmental disorders. This study aimed to explore the beliefs and willingness of parents of children with neurodevelopmental disorders about COVID-19 vaccine and understand how certain factors influencing the vaccine decision-making process differ between them and other parents' groups.

METHODS

A cross-sectional study was conducted between August to November 2021. An Arabic online survey was distributed in August 2021 to collect the study's data. 400 parents from all the major regions in Saudi Arabia participated in and shared their beliefs about the new COVID-19 vaccination for their children.

RESULTS

Out of 400 participants, 381 of them were eligible to answer the survey (95.2%). The total number of parents of children with neurodevelopmental disorder was 158 (41.5%), was compared to responses of parents of heathy children 223 (58.5%). 85 (53.8%) of them were ready to vaccinate their children with COVID-19 vaccine. While 36 (22.8%) were hesitant, the rest 37 (23.4%) did not want to vaccinate their children at all. Only a small number 16 (10.1%) have beliefs of vaccines as a cause of their child's neurodevelopmental disorder. A total of 79 out of 131 responses were received from both parents' groups. Fear of long-term side-effects was the most common reason reported by 41 responders out of 64 (64.06%) from parents of healthy children and 38 responders out of 67 (56.71%) from parents of diagnosed children. Another reason reported by parents of younger children in both groups was the child's age. Having a healthcare relative worker was significantly associated with the vaccine decision making (p < .001).

CONCLUSION

The acceptance rate of COVID-19 vaccination of parents of children with neurodevelopmental disorders was low compared to the parents of healthy children in Saudi Arabia. Authorities can benefit from this study results to offer more accessible information about the vaccine importance and safety to the targeted population.

Understanding the impact of mobility on COVID-19 spread: A hybrid gravity-metapopulation model of COVID-19

The outbreak of the severe acute respiratory syndrome coronavirus 2 started in Wuhan, China, towards the end of 2019 and spread worldwide. The rapid spread of the disease can be attributed to many factors including its high infectiousness and the high rate of human mobility around the world. Although travel/movement restrictions and other non-pharmaceutical interventions aimed at controlling the disease spread were put in place during the early stages of the pandemic, these interventions did not stop COVID-19 spread. To better understand the impact of human mobility on the spread of COVID-19 between regions, we propose a hybrid gravity-metapopulation model of COVID-19. Our modeling framework has the flexibility of determining mobility between regions based on the distances between the regions or using data from mobile devices. In addition, our model explicitly incorporates time-dependent human mobility into the disease transmission rate, and has the potential to incorporate other factors that affect disease transmission such as facemasks, physical distancing, contact rates, etc. An important feature of this modeling framework is its ability to independently assess the contribution of each factor to disease transmission. Using a Bayesian hierarchical modeling framework, we calibrate our model to the weekly reported cases of COVID-19 in thirteen local health areas in Metro Vancouver, British Columbia (BC), Canada, from July 2020 to January 2021. We consider two main scenarios in our model calibration: using a fixed distance matrix and time-dependent weekly mobility matrices. We found that the distance matrix provides a better fit to the data, whilst the mobility matrices have the ability to explain the variance in transmission between regions. This result shows that the mobility data provides more information in terms of disease transmission than the distances between the regions.

Anticancer pan-ErbB inhibitors reduce inflammation and tissue injury and exert broad-spectrum antiviral effects

Targeting host factors exploited by multiple viruses could offer broad-spectrum solutions for pandemic preparedness. Seventeen candidates targeting diverse functions emerged in a screen of 4,413 compounds for SARS-CoV-2 inhibitors. We demonstrated that lapatinib and other approved inhibitors of the ErbB family receptor tyrosine kinases suppress replication of SARS-CoV-2, Venezuelan equine encephalitis virus (VEEV), and other emerging viruses with a high barrier to resistance. Lapatinib suppressed SARS-CoV-2 entry and later stages of the viral life cycle and showed synergistic effect with the direct-acting antiviral nirmatrelvir. We discovered that ErbB1, 2 and 4 bind SARS-CoV-2 S1 protein and regulate viral and ACE2 internalization, and they are required for VEEV infection. In human lung organoids, lapatinib protected from SARS-CoV-2-induced activation of ErbB-regulated pathways implicated in non-infectious lung injury, pro-inflammatory cytokine production, and epithelial barrier injury. Lapatinib suppressed VEEV replication, cytokine production and disruption of the blood-brain barrier integrity in microfluidic-based human neurovascular units, and reduced mortality in a lethal infection murine model. We validated lapatinib-mediated inhibition of ErbB activity as an important mechanism of antiviral action. These findings reveal regulation of viral replication, inflammation, and tissue injury via ErbBs and establish a proof-of-principle for a repurposed, ErbB-targeted approach to combat emerging viruses.

Intranasal administration of convalescent plasma protects against SARS-CoV-2 infection in hamsters

BACKGROUND

Convalescent plasma (CP) transfusion is an early option for treating infections with pandemic potential, often preceding vaccine or antiviral drug rollout. Heterogenous findings from randomized clinical trials on transfusion of COVID-19 CP (CCP) have been reported. However, meta-analysis suggests that transfusion of high titer CCP is associated with a mortality benefit for COVID-19 outpatients or inpatients treated within 5 days after symptom onset, indicating the importance of early administration.

METHODS

We tested if CCP is an effective prophylactic against SARS-CoV-2 infection by the intranasal administration of 25 μL CCP/nostril (i.e. 0.01-0.06 mg anti-RBD antibodies/kg) in hamsters exposed to infected littermates.

FINDINGS

In this model, 40% of CCP treated hamsters were fully protected and 40% had significantly reduced viral loads, the remaining 20% was not protected. The effect seems dose-dependent because high-titer CCP from a vaccinated donor was more effective than low-titer CCP from a donation prior to vaccine rollout. Intranasal administration of human CCP resulted in a reactive (immune) response in hamster lungs, however this was not observed upon administration of hamster CCP.

INTERPRETATION

We conclude that CCP is an effective prophylactic when used directly at the site of primary infection. This option should be considered in future prepandemic preparedness plans.

FUNDING

Flanders Innovation & Entrepreneurship (VLAIO) and the Foundation for Scientific Research of the Belgian Red Cross Flanders.

Clinical Course and Outcome of Cardiovascular Manifestations in Children With Multisystem Inflammatory Syndrome Associated With SARS-CoV-2 Infection in Georgia

A SARS-CoV-2 infection is usually characterized by a very mild clinical course in the pediatric population. However, children can be severely affected, and clinical manifestations may differ from adults, mainly in terms of post-COVID-19 infection complications already known as multisystem inflammatory syndrome in children (MIS-C). As the name suggests, this condition involves many systems, including the cardiovascular system, clinical manifestations of which include myocarditis, coronary artery aneurysms, conduction abnormalities, and arrhythmias. This research aims to define the cardiac manifestations caused by multi-inflammatory processes occurring after acute SARS-CoV-2 infection, possibly find a correlation between a certain cardiac abnormality and inflammatory markers, and evaluate the dynamics of cardiovascular complications and how treatment affects it. From February 2020 to March 2022, 103 patients with MIS-C were hospitalized and treated at M.Iashvili Children's Central Hospital, Tbilisi, Georgia. Based on our results, 55% of them had cardiovascular involvement with various manifestations involving coronary artery dilation, valvular insufficiencies, heart rate abnormalities, and pericardial effusion. Our study revealed that only one statistically significant correlation was observed between D-dimer levels and heart rate abnormalities, but there was no correlation between these two values. All of the MIS-C patients reported in our study have received standardized treatment courses with steroids, intravenous immune globulin (IVIG), or IVIG combined with steroids; each patient's illness has resolved without any sequelae, and cardiac manifestations have returned to baseline. Nevertheless, systematic longer-term follow-up is needed to provide clarity on the evolution of medium- and long-term cardiac outcomes in MIS-C.

Excess mortality in Ukraine during the course of COVID-19 pandemic in 2020-2021

In this work, the COVID-19 pandemic burden in Ukraine is investigated retrospectively using the excess mortality measures during 2020-2021. In particular, the epidemic impact on the Ukrainian population is studied via the standardized both all-cause and cause-specific mortality scores before and during the epidemic. The excess mortality counts during the pandemic were predicted based on historic data using parametric and nonparametric modeling and then compared with the actual reported counts to quantify the excess. The corresponding standardized mortality P-score metrics were also compared with the neighboring countries. In summary, there were three "waves" of excess all-cause mortality in Ukraine in December 2020, April 2021 and November 2021 with excess of 32%, 43% and 83% above the expected mortality. Each new "wave" of the all-cause mortality was higher than the previous one and the mortality "peaks" corresponded in time to three "waves" of lab-confirmed COVID-19 mortality. The lab-confirmed COVID-19 mortality constituted 9% to 24% of the all-cause mortality during those three peak months. Overall, the mortality trends in Ukraine over time were similar to neighboring countries where vaccination coverage was similar to that in Ukraine. For cause-specific mortality, the excess observed was due to pneumonia as well as circulatory system disease categories that peaked at the same times as the all-cause and lab-confirmed COVID-19 mortality, which was expected. The pneumonias as well as circulatory system disease categories constituted the majority of all cases during those peak times. The seasonality in mortality due to the infectious and parasitic disease category became less pronounced during the pandemic. While the reported numbers were always relatively low, alcohol-related mortality also declined during the pandemic.

Assessing the Impact of Vaccination on the Dynamics of COVID-19 in Africa: A Mathematical Modeling Study

Several effective COVID-19 vaccines are administered to combat the COVID-19 pandemic globally. In most African countries, there is a comparatively limited deployment of vaccination programs. In this work, we develop a mathematical compartmental model to assess the impact of vaccination programs on curtailing the burden of COVID-19 in eight African countries considering SARS-CoV-2 cumulative case data for each country for the third wave of the COVID-19 pandemic. The model stratifies the total population into two subgroups based on individual vaccination status. We use the detection and death rates ratios between vaccinated and unvaccinated individuals to quantify the vaccine's effectiveness in reducing new COVID-19 infections and death, respectively. Additionally, we perform a numerical sensitivity analysis to assess the combined impact of vaccination and reduction in the SARS-CoV-2 transmission due to control measures on the control reproduction number (Rc). Our results reveal that on average, at least 60% of the population in each considered African country should be vaccinated to curtail the pandemic (lower the Rc below one). Moreover, lower values of Rc are possible even when there is a low (10%) or moderate (30%) reduction in the SARS-CoV-2 transmission rate due to NPIs. Combining vaccination programs with various levels of reduction in the transmission rate due to NPI aids in curtailing the pandemic. Additionally, this study shows that vaccination significantly reduces the severity of the disease and death rates despite low efficacy against COVID-19 infections. The African governments need to design vaccination strategies that increase vaccine uptake, such as an incentive-based approach.

Anxiety and fear of COVID-19 in the UK general population: A cross-sectional study

There is still a generalized feeling of uncertainty in the population due to the coronavirus disease 2019 (COVID-19) pandemic, as restrictions on daily routines and social contact, accompanied by a large number of infections, negatively affect different areas of people's lives and, therefore, their mental health. The aim of the present study was to assess the presence of anxiety and fear of COVID-19 in the general UK population, using the Anxiety and Fear to COVID-19 Assessment Scale (Ansiedad y Miedo al COVID-19) (AMICO) scale. A descriptive, cross-sectional study based on a questionnaire was conducted in a sample of the UK general population in 2021. Socio-demographic and employment variables were included. The AMICO scale was included to measure fear and anxiety about COVID-19. The relationship between variables was studied with a categorical regression analysis. In general, participants regarded themselves as well-informed about the pandemic, although 62.6% had only received 1 dose of the vaccine. Regarding the AMICO scale the total score was 4.85 (out of 10; standard deviation 2.398). Women showed higher scores for the AMICO than men. The bivariate analysis revealed statistically significant differences in relation to self-confidence, amount of information received, and vaccination variables as related to the mean AMICO scores. An average level of anxiety and fear of COVID-19 is shown in the general UK population, which is lower than most of the studies that assessed the impact of the pandemic on the general population.

Exploration of potent antiviral phytomedicines from Lauraceae family plants against SARS-CoV-2 RNA-dependent RNA polymerase

RNA-dependent RNA polymerase, also known as RdRp, is a possible therapeutic target that could be used to suppress the proliferation of RNA viruses such as SARS-CoV-2. This protein has two major functional sites (a) catalytic and (b) substrate entry, which regulate the natural substrate entry and its corresponding interaction with the protein. In this study, a computational drug design pipeline was applied to investigate potential inhibitors against SARS-CoV-2 RdRp from Lauraceae plants, and five top hits were selected based on the docked score (< -7 kcal/mol). The docking study suggested that the Glochidioboside had a minimum binding score of -7.8 kcal/mol. This compound showed total five hydrogen bonds while two of them were with catalytic residues Asp618 and Asp760. However, another compound, Sitogluside showed a binding score of -7.3 kcal/mol with four hydrogen bonds targeting three functional residues (Arg555, Ser759, and Asp760). Later, 100 ns explicit solvent molecular dynamics (MD) simulation was performed to evaluate the stability of the protein-ligand docked system. These compounds translocated their positions from the catalytic site to the substrate entry site, as observed in the MD simulation trajectory. However, translocation did not affect the binding strength of these compounds, and they retained the strong binding affinity (ΔG < -11.5 kcal/mol), estimated using the MM/GBSA method. In general, the findings of this study indicated the potential therapeutic compounds that may be used targeting SARS-CoV-2 RdRp. However, these compounds still need to be validated by experimentation in order to determine their inhibitory function.Communicated by Ramaswamy H. Sarma.

Determinants of Public Health Personnel Spending in Spain

Public health is funded with government funds gathered from tax revenues, whether national, provincial or municipal. The health system therefore suffers during economic crisis periods, whether due to disinvestment, loss of purchasing power among health care personnel or the decrease in the number of professionals. This worsens the situation, as it is necessary to cover the needs of an increasingly elderly population and with a longer life expectancy at birth. The present study intends to show a model which explains the determination of the "Public Health Personnel Expenditure" in Spain for a determined period. A multiple linear regression model was applied to the period including the years 1980-2021. Macroeconomic and demographic variables were analyzed to explain the dependent variable. Variation in health personnel expenditure: "We included those variables which presented a high or very high correlation above r > 0.6. The variables which explain the behavior of Variation in health personnel expenditure". It was a determining factor in the present study to consider that the variables with the greatest repercussions on health policy were mainly macroeconomic variables rather than demographic variables, with the only significant demographic variable that had a specific weight lower than macroeconomic variables being "Birth Rate". In this sense, the contribution made to the scientific literature is to establish an explanatory model so that public policy managers and states in particular can consider it in their public spending policies, bearing in mind that health expenditures in a Beveridge-style health system, as Spain has, are paid with funds drawn from tax revenues.

Effect of Vitamin D3 Supplementation vs. Dietary-Hygienic Measures on SARS-CoV-2 Infection Rates in Hospital Workers with 25-Hydroxyvitamin D3 [25(OH)D3] Levels ≥20 ng/mL

Background: There is scant information on the effect of supplementation with vitamin D3 in SARS-CoV-2 infection cases when patient 25-hydroxyvitamin D3 [25(OH)D3] levels are between 20-100 ng/mL. We aimed to evaluate the effect of supplementation with vitamin D3 vs. dietary-hygienic measures on the SARS-CoV-2 infection rate in participants with serum 25(OH)D3 levels ≥20 ng/mL. Methods: This study was quasi-experimental. We invited hospital workers with 25(OH)D3 levels between 20-100 ng/mL and no previous SARS-CoV-2 infection. They were randomized as follows: treatment options were a) vitamin D3 supplementation (52,000 IU monthly, G1) or b) dietary-hygienic measures (G2). We conducted a 3- to 6-month follow-up of SARS-CoV-2 infections. Participants with 25(OH)D3 levels <20 ng/mL were also analyzed. We divided these latter participants depending on whether they were supplemented (G3) or not (G4). Results: We analyzed 198 participants, with an average age of 44.4 (SD 9) years, and 130 (65.7%) were women. G1 had fewer cases of SARS-CoV-2 infection than G2 after a follow-up of 3- to 6-months (p < 0.05). There were no differences between G3 and G4 at the 3- and 6-month follow-up cutoff points (p > 0.05). Using a mixed effect Cox regression analysis in the 164 participants that completed six months of follow-up, vitamin D3 supplementation appeared to act as a protective factor against SARS-CoV-2 infection (HR 0.21, p = 0.008) in G1 and G2. None of the participants treated with the supplementation doses had serum 25(OH)D3 levels >100 ng/mL. Conclusions: Vitamin D3 supplementation in participants with 25(OH)D3 levels between 20-100 ng/mL have a lower rate of SARS-CoV-2 infection compared with the use of dietary-hygienic measures at six months follow-up.

A computational supervised neural network procedure for the fractional SIQ mathematical model

The purpose of the current work is to provide the numerical solutions of the fractional mathematical system of the susceptible, infected and quarantine (SIQ) system based on the lockdown effects of the coronavirus disease. These investigations provide more accurateness by using the fractional SIQ system. The investigations based on the nonlinear, integer and mathematical form of the SIQ model together with the effects of lockdown are also presented in this work. The impact of the lockdown is classified into the susceptible/infection/quarantine categories, which is based on the system of differential models. The fractional study is provided to find the accurate as well as realistic solutions of the SIQ model using the artificial intelligence (AI) performances along with the scale conjugate gradient (SCG) design, i.e., AI-SCG. The fractional-order derivatives have been used to solve three different cases of the nonlinear SIQ differential model. The statics to perform the numerical results of the fractional SIQ dynamical system are 7% for validation, 82% for training and 11% for testing. To observe the exactness of the AI-SCG procedure, the comparison of the numerical attained performances of the results is presented with the reference Adam solutions. For the validation, authentication, aptitude, consistency and validity of the AI-SCG solver, the computing numerical results have been provided based on the error histograms, state transition measures, correlation/regression values and mean square error.

Supplementary Information

The online version contains supplementary material available at 10.1140/epjs/s11734-022-00738-9.

Intensity and lag-time of non-pharmaceutical interventions on COVID-19 dynamics in German hospitals

Introduction

Evaluating the potential effects of non-pharmaceutical interventions on COVID-19 dynamics is challenging and controversially discussed in the literature. The reasons are manifold, and some of them are as follows. First, interventions are strongly correlated, making a specific contribution difficult to disentangle; second, time trends (including SARS-CoV-2 variants, vaccination coverage and seasonality) influence the potential effects; third, interventions influence the different populations and dynamics with a time delay.

Methods

In this article, we apply a distributed lag linear model on COVID-19 data from Germany from January 2020 to June 2022 to study intensity and lag time effects on the number of hospital patients and the number of prevalent intensive care patients diagnosed with polymerase chain reaction tests. We further discuss how the findings depend on the complexity of accounting for the seasonal trends.

Results and discussion

Our findings show that the first reducing effect of non-pharmaceutical interventions on the number of prevalent intensive care patients before vaccination can be expected not before a time lag of 5 days; the main effect is after a time lag of 10-15 days. In general, we denote that the number of hospital and prevalent intensive care patients decrease with an increase in the overall non-pharmaceutical interventions intensity with a time lag of 9 and 10 days. Finally, we emphasize a clear interpretation of the findings noting that a causal conclusion is challenging due to the lack of a suitable experimental study design.

The impact of the COVID-19 outbreak on emergency general surgery in the first German "hotspot region" Aachen-Heinsberg-A multicentre retrospective cohort study

This study aimed to observe the impact of the COVID-19 outbreak on acute general surgery in the first German "hotspot" regions of Heinsberg and Aachen, during the first months of the pandemic. The incidence and severity of acute appendicitis, acute cholecystitis and mechanical bowel obstruction, were compared between March and May 2020 and a control period (same months of the previous three years). Pre-, intra- and postoperative data was compared between three regional hospitals of Heinsberg and the closest maximum care, university hospital. A total of 592 operated patients were included, 141 belonging to the pandemic cohort and 451 to the historic cohort. The pandemic group showed higher rates of clinical peritonitis (38% vs. 27%, p = 0.015), higher rates of mean white blood cell count (13.2±4.4 /nl vs. 12.3±4.7 /nl, p = 0.044) and mean C-reactive protein (60.3±81.1 mg/l vs. 44.4±72.6 mg/l, p = 0.015) preoperatively. Specifically in patients with acute appendicitis, there were less patients with catarrhal appendicitis (23% vs. 35%, p = 0.021) and a tendency towards more advanced histological findings in the pandemic cohort. In the university hospital, a 42% reduction in acute operated cases was observed at the onset of the pandemic (n = 30 in 2020 vs. n = 52 in 2019), whereas in the peripheral hospitals of Heinsberg there was only a 10% reduction (n = 111 in 2020 vs. n = 123 in 2019). The onset of the COVID-19 pandemic in our region was accompanied by advanced preoperative and intraoperative findings in patients undergoing emergency general surgery. A greater reduction in acute operated surgical cases was observed at the university hospital, in contrast to the smaller hospitals of Heinsberg, suggesting a possible shift of emergency patients, requiring immediate operation, from maximum care hospital to the periphery.

Computational design and experimental analysis of a novel visor for COVID-19 patients receiving high-flow nasal oxygen therapy

The Covid-19 global pandemic has reshaped the requirements of healthcare sectors worldwide. Following the exposure risks associated with Covid-19, this paper aims to design, optimise, and validate a wearable medical device that reduces the risk of transmission of contagious droplets from infected patients in a hospital setting. This study specifically focuses on those receiving high-flow nasal oxygen therapy. The design process consisted of optimising the geometry of the visor to ensure that the maximum possible percentage of harmful droplets exhaled by the patient can be successfully captured by a vacuum tube attached to the visor. This has been completed by deriving a number of concept designs and assessing their effectiveness, based on numerical analysis, computational fluid dynamics (CFD) simulations and experimental testing. The CFD results are validated using various experimental methods such as Schlieren imaging, particle measurement testing and laser sheet visualisation. Droplet capturing efficiency of the visor was measured through CFD and validated through experimental particle measurement testing. The results presented a 5% deviation between CFD and experimental results. Also, the modifications based on the validated CFD results improved the visor effectiveness by 47% and 38% for breathing and coughing events, respectively.

Adaptation and initial psychometric study of the anxiety and fear of COVID-19 scale in the United Kingdom population

OBJECTIVE

The aim of the study was the initial psychometric study to validate the anxiety and fear of COVID-19 (AMICO) assessment scale in the general population of the United Kingdom population.

MATERIALS AND METHODS

A descriptive, cross-sectional, psychometric validation and descriptive study was conducted, performing univariate and bivariate analyses, as well as exploratory and confirmatory factor analysis.

RESULTS

The sample was 658 people living in the United Kingdom over 16 years. Of the total, 80.5% were female, with a mean age of 48.25 years (SD = 14.861). A mean score for the AMICO scale of 4.85 (SD = 2.398) was obtained, with a range of scores from 1 to 10. The study of percentiles and quartiles allowed for the identification of three proposed levels of anxiety.

CONCLUSION

The AMICO_UK scale is reliable to measure the presence of anxiety and fear related to the COVID-19 disease in the United Kingdom population. The majority of the United Kingdom population presented low levels of anxiety and fear at the time the scale was administered.

Vaccine Side Effects in Health Care Workers after Vaccination against SARS-CoV-2: Data from TüSeRe:exact Study

As the Corona Disease 2019 (COVID-19) caused by SARS-CoV-2 persists, vaccination is one of the key measures to contain the spread. Side effects (SE) from vaccination are one of the reasons for reluctance to vaccinate. We systematically investigated self-reported SE after the first, second, and booster vaccinations. The data were collected during the TüSeRe: exact study (Tübinger Monitoring Studie zur exakten Analyse der Immunantwort nach Vakzinierung). Employees of health and research institutions were invited to participate. Study participants were asked to fill out an online questionnaire and report their SE after each dose of SARS-CoV-2 vaccination. A total of 1046 participants (mean age: 44 ± 12.9 years; female, n = 815 (78%); male, n = 231 (22%)) were included in the analysis. Local and systemic SE were more frequent after receiving the vector-based vaccine ChAdOx1 nCoV-19 in the first vaccination. However, local and systemic SE were more common after receiving mRNA vaccines (BNT162b2, mRNA-1273) in the second vaccination. Compared to the BNT162b2 vaccine, more SE have been observed after receiving the mRNA-1273 vaccine in the booster vaccination. In multivariate analysis, local and systemic side effects were associated with vaccine type, age and gender. Local and systemic SE are common after SARS-CoV-2 vaccines. The frequency of self-reported local and systemic SE differ significantly between mRNA and vector-based vaccines.

COVID-19 Progression: A County-Level Analysis of Vaccination and Case Fatality in Mississippi, USA

The COVID-19 pandemic has created a severe upheaval in the U.S., with a particular burden on the state of Mississippi, which already has an exhausted healthcare burden. The main objectives of this study are: (1) to analyze the county-level COVID-19 cases, deaths, and vaccine distribution and (2) to determine the correlation between various social determinants of health (SDOH) and COVID-19 vaccination coverage. We analyzed COVID-19-associated data and county-level SDOH factors in 82 counties of Mississippi. The cumulative COVID-19 and socio-demographic data variables were grouped into feature and target variables. The statistical and exploratory data analysis (EDA) was conducted using Python 3.8.5. The correlation between the target and feature variables was performed by Pearson Correlation analysis. The heat Map Correlation Matrix was visually presented to illustrate the correlation between each pair of features and each target variable. Results indicated that people of Asian descent had the highest vaccination coverage of 77% fully vaccinated compared to 52%, 46%, 42% and 25% for African Americans, Whites, Hispanics, and American Indians/Alaska Natives, respectively. The county-level vaccination rate was significantly higher among the minority populations than the White population. It was observed that COVID-19 cases and deaths were positively correlated with per capita income and negatively correlated with the percentage of persons without a high school diploma (age 25+). This study strongly demonstrates that different SDOH factors influence the outcome of the COVID-19 vaccination rate, which also affects the total number of COVID-19 cases and deaths. Vaccine promotion should be given to all populations regardless of race and ethnicity to achieve uniform acceptance. Therefore, statewide policy recommendations focusing on specific community needs should help achieve health equity in COVID-19 vaccination management.

The greatest air quality experiment ever: Policy suggestions from the COVID-19 lockdown in twelve European cities

COVID-19 (Coronavirus disease 2019) hit Europe in January 2020. By March, Europe was the active centre of the pandemic. As a result, widespread "lockdown" measures were enforced across the various European countries, even if to a different extent. Such actions caused a dramatic reduction, especially in road traffic. This event can be considered the most significant experiment ever conducted in Europe to assess the impact of a massive switch-off of atmospheric pollutant sources. In this study, we focus on in situ concentration data of the main atmospheric pollutants measured in twelve European cities, characterized by different climatology, emission sources, and strengths. We propose a methodology for the fair comparison of the impact of lockdown measures considering the non-stationarity of meteorological conditions and emissions, which are progressively declining due to the adoption of stricter air quality measures. The analysis of these unmatched circumstances allowed us to estimate the impact of a nearly zero-emission urban transport scenario on air quality in 12 European cities. The clearest result, common to all the cities, is that a dramatic traffic reduction effectively reduces NO2 concentrations. In contrast, each city's PM and ozone concentrations can respond differently to the same type of emission reduction measure. From the policy point of view, these findings suggest that measures targeting urban traffic alone may not be the only effective option for improving air quality in cities.

The evolution of the global COVID-19 epidemic in Morocco and understanding the different therapeutic approaches of chitosan in the control of the pandemic

In 2020, Coronavirus disease (COVID-19), a new viral respiratory disease caused by a virus that belongs to Coronaviridae family, has been identified. It is a very severe flu that negatively affects the functions of the lung and other respiratory organs. COVID-19 virus can be transmitted between people either by touching an infected person or by direct contact with their respiratory droplets. Therefore, the COVID-19 virus has become a global concern due to its rapid spread and severity. Based on the World Health Organization report from 2 March 2020 to 24 October 2022, the total infected cases and deaths in Morocco are around 1,265,389 (3.46%) and 16,280 (0.04%), respectively. Recently, some scientists have found that chitosan, a polymer existed in nature, can inhibit COVID-19 infection and repair damaged tissue. Therefore, understanding chitosan mechanisms in controlling COVID-19, might lead to innovative strategies in the medical field, such as developing drugs against SARS-CoV-2, and replacing vaccines, which have negative side effects. This review aims to show the evolution of the COVID-19 pandemic worldwide, specifically in Morocco, its pathophysiology, and its ability to silence the immune system. This review also provides an overview of the treatments and measures applied to protect human beings and how chitosan acts and controls COVID-19.

Developing COVID-19 vaccine recommendations during the pandemic: The experience of Serbia's Expert Committee on Immunization

A National Immunization Technical Advisory Group (NITAG) is a multi-disciplinary body of national experts that provide evidence-based recommendations to policy-makers to assist them in making informed immunization policy and programme decisions. During the COVID-19 pandemic, NITAGs faced many challenges in making evidence-based recommendations for COVID-19 vaccines due to the rapidly evolving situation with new vaccine products available in a short time period and limited data on vaccine effectiveness. The authors reviewed the process used by Serbia's NITAG, which is called the Serbian Expert Committee on Immunization, to develop COVID-19 vaccine recommendations during the pandemic. The article examines the challenges and successes faced by the committee. Serbia's expert committee used the best available evidence to develop over forty recommendations on all aspects of COVID-19 vaccination. These expert committee recommendations facilitated the early procurement and successful roll-out of COVID-19 vaccines, guidance for vaccination of individuals at the highest risk, and high COVID-19 vaccination coverage in the country. The availability of five COVID-19 vaccines in Serbia was an advantage for the successful roll-out but posed challenges for the expert committee. Serbia's expert committee plans to use the experience and best practices developed during the pandemic to improve and expand its work moving forward.

Wastewater Reveals the Spatiotemporal Spread of SARS-CoV-2 in the Canton of Ticino (Switzerland) during the Onset of the COVID-19 Pandemic

Wastewater-based epidemiology (WBE) has emerged as an effective tool for monitoring SARS-CoV-2 dynamics during the COVID-19 pandemic. Here, we add a spatial component to WBE and use it to investigate SARS-CoV-2 spread in the canton of Ticino during the onset of the pandemic in Switzerland (end of February 2020 to beginning of March 2020). Ticino is located at the border to Northern Italy, where a large COVID-19 outbreak occurred in February 2020. Not surprisingly, Ticino was the site of the first clinically confirmed COVID-19 case in Switzerland. We retrospectively analyzed daily influent samples from nine wastewater treatment plants in Ticino that jointly cover an area of 20 km × 60 km and 351,000 people (>99% of the population). Our result is a fine-grained view of the spatiotemporal evolution of the COVID-19 pandemic in this canton. The wastewater analysis revealed that by February 29, 2020, SARS-CoV-2 had already spread to all catchments. At the same time, only four individual cases had been clinically confirmed across the region served by the treatment plants investigated. Our results demonstrate that WBE could serve as a versatile tool to monitor the introduction and spread of an infectious agent on a regional scale. To fully exploit its utility, WBE should be implemented in real time and become an integral part of future disease surveillance efforts.

Capturing SARS-CoV-2 from patient samples with low viral abundance: a comparative analysis

Since the beginning of the SARS-CoV-2 coronavirus pandemic, genome sequencing is essential to monitor viral mutations over time and by territory. This need for complete genetic information is further reinforced by the rapid spread of variants of concern. In this paper, we assess the ability of the hybridization technique, Capture-Seq, to detect the SARS-CoV-2 genome, either partially or in its integrity on patients samples. We studied 20 patient nasal swab samples broken down into five series of four samples of equivalent viral load from CT25 to CT36+ . For this, we tested 3 multi-virus panel as well as 2 SARS-CoV-2 only panels. The panels were chosen based on their specificity, global or specific, as well as their technological difference in the composition of the probes: ssRNA, ssDNA and dsDNA. The multi-virus panels are able to capture high-abundance targets but fail to capture the lowest-abundance targets, with a high percentage of off-target reads corresponding to the abundance of the host sequences. Both SARS-CoV-2-only panels were very effective, with high percentage of reads corresponding to the target. Overall, capture followed by sequencing is very effective for the study of SARS-CoV-2 in low-abundance patient samples and is suitable for samples with CT values up to 35.

Successful implementation of round-the-clock care in a virtual ward during the COVID-19 pandemic

The COVID-19 pandemic led to unprecedented demand on NHS infrastructure. Virtual wards (VW) were created in response, using technology to monitor patients remotely. Their implementation required new systems of staffing, escalation, risk management and information governance. The Norfolk and Norwich University Hospitals Foundation Trust offered an example of a highly successful VW. It cared for 852 patients in its first year of operation, providing 24/7 nursing cover, supported by pharmacists and junior doctors, daily consultant-led ward rounds and virtual visits. The remote care platform collected continuous vital sign observations and generated custom alarms. The care team triaged, then escalated to nurse-specialists or consultants as required. Patients reported increased confidence and relief at earlier discharge. Staff highlighted the benefits of working from home, even if isolating or shielding. Challenges included developing awareness of the new service, overcoming concerns around increased workload and transitioning from emergency to long-term funding. The ward subsequently expanded from COVID-19 to nine other use cases.

Lung Ultrasound as a Triage Method in Primary Care for Patients with Suspected SARS-CoV-2 Pneumonia

Background: Currently, there are few studies that have analyzed the benefits of using lung ultrasound in the field of primary care, including in homes and nursing homes, for patients with suspected COVID-19 pneumonia and subsequent follow-ups. The aim of this study was to demonstrate that lung ultrasound is a useful technique for triaging these patients. Methods: An observational and retrospective study of individuals who presented with clinical suspicion of SARS-CoV-2 pneumonia was carried out during the months of March to June 2020 in Health Center number 2 of Ciudad Real and in homes of patients and nursing homes belonging to the Health Service of Castilla-La Mancha (Spain). Results: A total of 209 patients, of whom 86 (41.1%) were male, were included in the study. The most frequent ultrasound findings were bilateral B-lines, with a right predominance, specifically in the posterobasal region. Additionally, there was a statistical significance (p < 0.05) correlation between pathological positivity on lung ultrasound and PCR and chest X-ray positivity. When calculating the sensitivity and specificity of ultrasound and X-ray, ultrasound had a sensitivity of 93%, and X-ray had a sensitivity of 75%. Conclusion: Due to its high sensitivity and negative predictive value, lung ultrasound is very useful as a triage tool for patients with suspected SARS-CoV-2 pneumonia.

Database of SARS-CoV-2 and coronaviruses kinetics relevant for assessing persistence in food processing plants

SARS-CoV-2 (Severe acute respiratory syndrome coronavirus 2), a virus causing severe acute respiratory disease in humans, emerged in late 2019. This respiratory virus can spread via aerosols, fomites, contaminated hands or surfaces as for other coronaviruses. Studying their persistence under different environmental conditions represents a key step for better understanding the virus transmission. This work aimed to present a reproducible procedure for collecting data of stability and inactivation kinetics from the scientific literature. The aim was to identify data useful for characterizing the persistence of viruses in the food production plants. As a result, a large dataset related to persistence on matrices or in liquid media under different environmental conditions is presented. This procedure, combining bibliographic survey, data digitalization techniques and predictive microbiological modelling, identified 65 research articles providing 455 coronaviruses kinetics. A ranking step as well as a technical validation with a Gage Repeatability & Reproducibility process were performed to check the quality of the kinetics. All data were deposited in public repositories for future uses by other researchers.

Measurement(s)	Decimal reduction time
Technology Type(s)	Modelling of kinetics
Factor Type(s)	Temperature • Relative humidity • Genus • Strain
Sample Characteristic - Organism	Coronaviridae

Endoplasmic reticulum secretory pathway: Potential target against SARS-CoV-2

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has recently emerged throughout the world, resulting in more than 400 million cases and over 6 million deaths worldwide as of January 2022. Coronaviruses subvert or use certain aspects of the unfolded protein response in the endoplasmic reticulum to overcome protein translation shutdown to benefit their replication. New virions use the ER-Golgi intermediate compartment to assemble and gain transportation to the cell membrane. Extensive remodeling of the ER has been demonstrated during SARS-CoV-2 infection. In this review article, we discuss the role of the endoplasmic reticulum secretory pathway in the replication cycle of SARS-CoV-2. Currently, there is a dearth of therapeutic options for intervening with SARS-CoV-2 infection. To accelerate drug development, efforts around the globe have been focusing on repurposing drugs that have already been approved for clinical use by regulatory agencies. Targeting the ERS pathway is reasonable, as prior work has shown that SARS-CoV-2 egress is dependent on this pathway. Here we discuss the feasibility of off-patent, FDA-approved, pharmacological inhibitors of the ERS pathway to suppress the SARS-CoV-2 replication cycle, a promising approach that warrants investigation.

Non-pharmaceutical interventions in response to the COVID-19 pandemic in 30 European countries: the ECDC-JRC Response Measures Database

In response to the COVID-19 pandemic, the European Union/European Economic Area (EU/EEA) countries implemented a wide set of non-pharmaceutical interventions (NPIs), sometimes with limited knowledge on their effect and impact on population. The European Centre for Disease Prevention and Control (ECDC) and the European Commission’s Joint Research Centre (JRC) developed a Response Measures Database (ECDC–JRC RMD) to archive NPIs in 30 EU/EEA countries from 1 January 2020 to 30 September 2022. We aimed to introduce a tool for the wider scientific community to assess COVID-19 NPIs effect and impact in the EU/EEA. We give an overview of the ECDC–JRC RMD rationale and structure, including a brief analysis of the main NPIs applied in 2020, before the roll-out of the COVID-19 vaccination campaigns. The ECDC–JRC RMD organises NPIs through a three-level hierarchical structure and uses four additional parameters (‘status’, ‘implementation’, ‘target group’ and ‘geographical representation’) to provide further information on the implementation of each measure. Features including the ready-for-analysis, downloadable format and its agile taxonomy and structure highlight the potential of the ECDC–JRC RMD to facilitate further NPI analysis and optimise decision making on public health response policies.

Excess of Post-Acute Sequelae of COVID-19 After the First Wave of the Pandemic

INTRODUCTION

To compare the time distribution of initial COVID-19 among patients with self-reported post-acute sequelae of COVID-19 (PASC).

METHODS

We compared the distribution of the date of the reported initial COVID-19 among patients with self-reported PASC and the COVID-19 cases in France between the first wave (January 1-May 11, 2020) and the later period (May 12, 2020-June 30, 2021) using the chi-squared test. COVID-19 cases in France were assessed using previous modeling of COVID-19 burden in France for the first time period, and positive RT-PCR testing for the second time period.

RESULTS

The study included 567 individuals with PASC (median age 44, [IQR 37-50]; 83.4% women). A total of 293 (51.7%) patients reported an initial COVID-19 infection during the first period while 272 (48%) reported it during the later period (missing data, n = 2; 0.3%). Patients with PASC were 82% more likely to report initial COVID-19 during the first pandemic wave than afterward (OR 1.82, 95% CI [1.55-2.15]; p < 0.0001).

CONCLUSIONS

The incidence of self-reported PASC wave was significantly higher when initial COVID-19 happened during the first pandemic wave than afterward, suggesting the importance of non-viral factors in PASC development.

Easy Scheme Outlining the Various Morphological and Vascular Abnormalities of the Lymph Node Structure Associated with Recent COVID-19 Vaccination, Each with a Different Clinical/Diagnostic Management

Throughout this recent ongoing SARS-CoV-2 pandemic, the European Society of Breast Imaging have surely contributed in improving the management of unilateral axillary adenopathy appearance homolaterally to the side of vaccine inoculation. After considering the patient’s COVID-19 history of vaccination, our group produced a day-to-day scheme that evaluates meticulously the probability of mammary malignancy, according to the lymph node characteristics including vascular abnormalities. It comprises of a UN (ultrasound node) score ranging from 2 to 5, that increases with the suspicion of malignancy. In this setting and in view of the additional incoming COVID-19 boost-dose vaccinations, we believe our model could be of great utility to radiologist when assessing patients whom do not have a straight forward diagnosis, in order to reduce breast cancer missed diagnosis, avoid delaying vaccinations, reduce rescheduling of breast imaging examinations and lastly avoid unnecessary lymph node biopsies.

Increased Presentation of Diabetic Ketoacidosis and Changes in Age and Month of Type 1 Diabetes at Onset during the COVID-19 Pandemic in Spain

Objective: To assess the impact of the COVID-19 pandemic and lockdown measures on the presenting characteristics (age at diagnosis, severity, monthly distribution) of newly diagnosed type 1 diabetes in Spanish children. Research Design and Methods: An ambispective observational multicenter study was conducted in nine Spanish tertiary-level hospitals between January 2015 and March 2021. Inclusion criteria: new cases of type 1 diabetes in children (0–14 years) recording age, sex, date of diagnosis, presence of diabetic ketoacidosis (DKA) at onset, and severity of DKA. Data were compared before and during the pandemic. Results: We registered 1444 new cases of type 1 diabetes in children: 1085 in the pre-pandemic period (2015–2019) and 359 during the pandemic (2020–March 2021). There was a significant increase in the group aged ≤4 years in the pandemic period (chi-squared = 10.986, df 2, p = 0.0041). In 2020–2021, cases of DKA increased significantly by 12% (95% CI: 7.2–20.4%), with a higher percentage of moderate and severe DKA, although this increase was not significant. In 2020, there was a sharp decrease in the number of cases in March, with a progressive increase from May through November, higher than in the same months of the period 2015–2019, highlighting the increase in the number of cases in June, September, and November. The first three months of 2021 showed a different trend to that observed both in the years 2015–2019 and in 2020, with a marked increase in the number of cases. Conclusions: A change in monthly distribution was described, with an increase in DKA at onset of type 1 diabetes. No differences were found in severity, although there were differences in the age distribution, with an increase in the number of cases in children under 4 years of age.

Virus Infection and Systemic Inflammation: Lessons Learnt from COVID-19 and Beyond

Respiratory infections with newly emerging zoonotic viruses such as SARS-CoV-2, the etiological agent of COVID-19, often lead to the perturbation of the human innate and adaptive immune responses causing severe disease with high mortality. The responsible mechanisms are commonly virus-specific and often include either over-activated or delayed local interferon responses, which facilitate efficient viral replication in the primary target organ, systemic viral spread, and rapid onset of organ-specific and harmful inflammatory responses. Despite the distinct replication strategies, human infections with SARS-CoV-2 and highly pathogenic avian influenza viruses demonstrate remarkable similarities and differences regarding the mechanisms of immune induction, disease dynamics, as well as the long-term sequelae, which will be discussed in this review. In addition, we will highlight some important lessons about the effectiveness of antiviral and immunomodulatory therapeutic strategies that this pandemic has taught us.

Lockdown Due to COVID-19 and Its Consequences on Diet, Physical Activity, Lifestyle, and Other Aspects of Daily Life Worldwide: A Narrative Review

The novel coronavirus, termed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is responsible for the disease called coronavirus disease 2019 (COVID-19). Besides the important rates of mortality and morbidity directly attributed to the infection itself, many studies detected an important shift towards mostly unhealthy lifestyle patterns in previously healthy non-infected populations all around the world. Although most of the changes in lifestyle had or will have a negative impact on general population health status, some findings are encouraging. Notwithstanding that there was an obvious necessity for governments to apply national lockdowns, it is also necessary to identify and comprehend the consequences they have caused. A narrative literature review was performed, based on scientific articles and previous reviews. An accurate description of changes in eating habits and alcohol consumption, physical activity, mental health, daily routines, economic impacts, and broader effects on society is provided for each continent and different age groups through this review. The volume of selected scientific surveys encompasses approximately 400,000 persons.