Impact of COVID-19 and Closed Transmission of SARS-CoV-2 during the First Wave in Toyama Prefecture, Japan, March 30 to May 18, 2020

We studied 226 patients in Toyama Prefecture who were notified of COVID-19 during the first wave between March 30 and May 18, 2020. Of the 226 patients, 22 (9.7%) died, most (95%) of whom were aged ≥65 years. A large cluster comprising 59 patients (41 residents and 18 staff members) was identified in a nursing home on April 17. No deaths occurred among staff members; however, 12 of the 41 residents (29%) died. Although the threshold cycle (Ct) values were significantly lower in the 20-64 and ≥65 years age groups than in the <20 years age group, no correlation was found between the Ct values and severity, fatal outcome, or secondary infection. The haplotype network of 145 SARS-CoV-2 isolates (64%) from 226 patients was analyzed. The viral genomes of the case groups differed by less than five nucleotide bases. These data suggest that the SARS-CoV-2 strains, which were initially introduced into Toyama Prefecture in late March and early April 2020, and their closely related strains, identified as lineage B.1.1, circulated during the first wave. The reduced inter-prefectural mobility of local residents may support the lack of strain diversity in SARS-CoV-2 during the first wave of the state of emergency.

Comparison between the demographic shift clinical severity and outcome of the first two waves of COVID-19 in pregnancy in a tertiary hospital in India

OBJECTIVE

To study and compare the maternal and neonatal outcomes of COVID-19 in pregnancy during the two waves of the pandemic in India.

METHODS

This observational, retrospective cohort study on pregnant women with SARS-CoV-2 infection was conducted in a 2700-bed tertiary referral center in South India from March 1, 2020 to June 30 2021. The clinical presentation, severity, and maternal and neonatal outcomes of COVID-19 were compared between the two waves.

RESULTS

A total of 623 pregnant women tested positive for SARS-CoV-2 infection in our institute; 379 (60.8%) were diagnosed during the first wave and 244 (39.2%) in the second wave. Most of the affected women (81.1%) were in their third trimester. Maternal mortality rate was 823 per 100 000 live births. Composite maternal outcome (increasing requirement for ventilation, pulmonary embolism, disease progression) were more pronounced during the second wave (2.1% vs 6.1%). Between the two waves, both maternal (1 vs 3; P = 0.162) and perinatal (3.2% vs 6.7%; P = 0.065) deaths were higher during the second wave. The cesarean section rate was high during the first wave (48% vs 32.4%; P < 0.001). Preterm births were comparable between the two waves (19.5% vs 22%; P < 0.500).

CONCLUSION

The women presented with more severe illness during the second wave of COVID-19. There was higher perinatal mortality, but the maternal mortality was similar between the two waves.

Emotions, Perceived Stressors, and Coping Strategies Among Nursing Staff in Saudi Arabia During the COVID-19 Pandemic

Objective The COVID-19 pandemic resulted in heightened stress for nurses and other healthcare workers, particularly during the initial phase of the crisis. Despite the adoption of various coping strategies, psychological distress persisted, affecting nurses' well-being and jeopardizing the overall resilience of the healthcare system. This study assessed the emotional response, perceived stressors, and coping strategies among nurses' staff who worked during the first wave of COVID-19 pandemic. Method A cross-sectional study was carried out among nurses who worked during the initial phase of the COVID-19 crisis (June - August 2020), at a tertiary care center in Western Saudi Arabia. The questionnaire explored five main sections. The first section (15 items) assessed emotions experienced during the initial wave of COVID-19, capturing both positive and negative sentiments, such as "joy" or "fear." The second section (20 items) examined the presence of stressors, like "lack of protective equipment" or "fear of infection." The third section (14 items) evaluated the perceived effectiveness of certain stress-reducing factors, including "peer support" or "training." In the fourth section (13 items), participants rated their usage frequency of various coping strategies, such as "meditation" or "seeking advice." Lastly, the fifth section assessed the hypothetical impact of 10 incentives, like "financial bonuses" or "additional training," in motivating nurses' involvement in future epidemic responses. The questionnaire was completed with demographic and professional data. A convenience sampling method was employed, and 315 nurses participated in the study. Descriptive statistics were carried out using SPSS version 24 for Windows (IBM Corp., Armonk, NY). Result The most commonly experienced emotion was a feeling of responsibility and ethical duty, reported by 97.5% of the participants, followed by nervousness and fear (83.8%), anger (73.3%), and stigma (70.2%). On the other hand, 86.7% were expecting a financial compensation. The most common stressors were related to the nurses' own safety, or the safety of their families and colleagues, reported by 92.4-95.2% of the participants. The perceived uncontrollability of COVID-19 was also a significant stressor. The improvement of the health status of infected colleagues (98.1%) or patients (97.5%) were the most common factors associated with the reduction in nurses' stress. Among the coping strategies, five were almost systematically deployed by the nurses (>95%), all consisting of cognitive and behavioral mechanisms to enhance own knowledge and safety and avoid being infected. The most crucial determinants for commitment in future pandemics are the availability of a cure or vaccine (93.3%), family support (91.4%), adequate personal protective equipment from the hospital (90.8%), and exemption from overtime (90.2%). Conclusion The first wave of COVID-19 exerted a tremendous psychological stress on nurses, due to concerns about safety, disease uncertainties, and social isolation. Analyzing these impacts offers insights for enhancing institutional and national crisis strategies, emphasizing staff safety and psychological well-being, especially for first responders like nurses. Policy implications include prioritizing mental health support and preparedness in future crisis plans. Additionally, ensuring continuous training and strategic workload management is crucial for maintaining frontline commitment.

Bio-ethical issues in oncology during the first wave of the COVID-19 epidemic: A qualitative study in a French hospital

BACKGROUND

Using a specific bioethical theory (=global bioethics) and method (=a posteriori), we try here to identify and evaluate the bio-ethical issues raised by the COVID-19 pandemic, and possible solutions, to improve the management of cancer patients at the hospital in future pandemics, before the emergence of vaccines or scientifically validated treatments.

MATERIALS & METHODS

Our work is based primarily on the clinical experience of three oncologists from the oncology department of Foch Hospital in France, who were on the frontline during the first wave of the epidemic. We compared their perceptions with published findings, to complete or nuance their views.

RESULTS

Three bio-ethical issues were identified, and possible solutions to these problems were evaluated: (1) scientific evidence versus lack of time → the creation of emergency multidisciplinary team meetings (MTM); (2) healthcare equality versus lack of resources → the development of telemedicine; (3) individual liberties versus risk of contamination → role of cancer patients' associations, psychologists and bioethicists.

CONCLUSION

We consider the creation of an emergency MTM, in particular, in addition to a true ethics committee with real competence in bioethics, to be a first solution that would be easy to implement in hospitals in many countries.

Were metabolic and other chronic diseases the driven onset epidemic forces of COVID-19 in Mexico?

The underline hypothesis of this study was that SARS-CoV-2 can infect individuals regardless of health condition, sex, and age in opposition to the classical epidemiological assumption of an identifiable susceptible subpopulation for epidemic development. To address this issue, a population cohort with 24.4 million metadata associated with 226,089 official RT-qPCR positive and 283,450 negative cases, including 27,769 deceased, linked putatively to B.1. and B.1.1. SARS-CoV-2 lineages were analyzed. The analysis baseline was to determine the infection and mortality structure of the diseased cohort at the onset-exponential phase of the first epidemic wave in Mexico under the assumption of limited herd immunity. Individuals with nonchronic diseases (NOCDs) were compared with those exhibiting at least one of 10 chronic diseases (CDs) adjusted by age and sex. Risk factors for infection and mortality were estimated with classification and regression tree (CART) and cluster analysis based on Spearman's matrix of rho-values in RStudio®, complemented with two proposed mortality indices. SARS-CoV-2 infection was independent of health condition (52.8% NOCD vs. 47.2% CDs; p = 0.001-0.009) but influenced by age >46 in one risk analysis scenario (p < 0.001). Sex contributed 9.7% to the overall risk. The independent effect was supported by the health structure of negative cases with a similar tendency but a higher proportion of NOCDs (61.4%, p = 0.007). The infection probability in individuals with one CD was determined by the disease type and age, which was higher in those older individuals (≥56 years) exhibiting diabetes (12.3%, cp = 0.0006), hypertension (10.1%, cp < 0.0001), and obesity (7.8%, cp = 0.001). In contrast, the mortality risk was heavily influenced by CD conditioned by sex and age, accounting for 72.3% of total deaths (p = 0.001-0.008). Significant mortality risk (48%) was comprised of women and men (w, m) aged ≥56 years with diabetes (19% w and 27.9% m, cp < 0.0004), hypertension (11.5% w, cp = 0.0001), and CKD (3.5% w and 5.3% m, cp = 0.0009). Older people with diabetes and hypertension comorbidity increased the risk to 60.5% (p = 0.001). Based on a mortality-weighted index, women were more vulnerable to preexisting metabolic or cardiovascular diseases. These findings support our hypothesis and justify the need for surveillance systems at a communitarian level. This is the first study addressing this fundamental epidemiological question.

Population Older than 69 Had Similar Fatality Rates Independently If They Were Admitted in Nursing Homes or Lived in the Community: A Retrospective Observational Study during COVID-19 First Wave

The aim of this study is to assess the influence of living in nursing homes on COVID-19-related mortality, and to calculate the real specific mortality rate caused by COVID-19 among people older than 20 years of age in the Balaguer Primary Care Centre Health Area during the first wave of the pandemic. We conducted an observational study based on a database generated between March and May 2020, analysing COVID-19-related mortality as a dependent variable, and including different independent variables, such as living in a nursing home or in the community (outside nursing homes), age, sex, symptoms, pre-existing conditions, and hospital admission. To evaluate the associations between the independent variables and mortality, we calculated the absolute and relative frequencies, and performed a chi-square test. To avoid the impact of the age variable on mortality and to assess the influence of the "living in a nursing home" variable, we established comparisons between infected population groups over 69 years of age (in nursing homes and outside nursing homes). Living in a nursing home was associated with a higher incidence of COVID-19 infection, but not with higher mortality in patients over 69 years of age (p = 0.614). The real specific mortality rate caused by COVID-19 was 2.27⁰/₀₀. In the study of the entire sample, all the comorbidities studied were associated with higher mortality; however, the comorbidities were not associated with higher mortality in the infected nursing home patients group, nor in the infected community patients over 69 years of age group (except for neoplasm history in this last group). Finally, hospital admission was not associated with lower mortality in nursing home patients, nor in community patients over 69 years of age.

The Impact of the First and Second Waves of COVID-19 Pandemic in Nigeria

In recent times, the COVID-19 pandemic has been the subject of global concern. It has so far claimed over 5.4 million lives globally, with over 291 million cases recorded worldwide as of 5 January 2022. It is known to have different waves and variants, thus making it difficult to handle/manage. This study investigates the impact of the first and second waves of COVID-19 in Nigeria, West Africa. The data used is for the 36 states of Nigeria archived at the National Centre for Disease Control from February 2020 to April 2021. Results from the study reveal that the highest number of COVID-19 cases during the first/second wave was recorded at Lagos (23,238/34,616), followed by the Federal Capital Territory (FCT) (6,770/12,911) and alternates between Plateau (3,858/5,170) and Kaduna (3,064/5,908). Similarly, the highest number of deaths (during the first/second wave) was also recorded in Lagos (220/219), followed by Edo (112/73), and then FCT (83/81). The Case Fatality Ratio (CFR) was observed to be higher mostly in northern Nigeria during the first wave and the southeast during the second wave of the pandemic. On the average, the number of cases/deaths recorded during the second wave was higher than those of the first wave, but a decrease in the CFR values was observed during the second wave. Higher values of COVID-19 cases/death were mostly recorded in Nigeria during; maximum relative humidity (RH) (>70%) with minimum Temperatures (<25°C), Low temperatures, and low RH which is mostly observed during the cold/dusty periods.

Evaluation of Characteristics and Outcomes of COVID-19 Between First Wave and Second Wave: Study From a Tertiary Cancer Care Centre, Delhi, India

Background and objectives The second wave of coronavirus disease-19 (COVID-19) had several severe consequences in the form of rising cases, deaths, and overwhelming health infrastructure in India. However, the similarities and differences between the characteristics of the first and second waves have yet to be explained. The objectives of the study were to compare the incidence, clinical management, and mortality rates between two waves. Methods The COVID-19 data collated from Rajiv Gandhi Cancer Institute and Research Centre, Delhi between the first wave (1 April 2020 to 27 February 2021) and second wave (1 March 2021 to 30 June 2021) were evaluated in terms of incidence, the clinical course of the disease, and mortality rates. Results The number of subjects hospitalized in the first and second waves was 289 and 564, respectively. Compared to the first wave, the proportion of patients with severe disease was higher (9.7% vs. 37.8%). Several parameters such as age group, grade of disease, the reason for hospitalization, values of peripheral oxygen saturation, type of respiratory support, response to therapy, vital status, and others show statistically significant differences between the two waves (P<0.001). The mortality rate in the second wave was significantly higher (20.2% vs. 2.4%, P<0.001) than in the first wave. Interpretation and conclusions The clinical course and outcomes of COVID-19 significantly differ between the first and second waves. There is a higher incidence of hospitalized patients (66.1% vs. 33.9%) with drastically increased case fatality rate in the second wave. Disease severity in the first wave is four times lower than in the second wave. The second wave was quite devastating, which led to the shortage of critical care facilities and the loss of a significant number of lives.

[COVID 19 - Hospital Admission in the First and Second Wave in Germany]

PURPOSE

 We analyzed patients' characteristics and hospital admission in Germany's first and second COVID 19 wave.

METHODS

 We include all patients hospitalized with the proven diagnosis COVID 19 admitted to the HELIOS Hospital Krefeld, Germany, in the first wave (n = 84; from 11.03.2020-30.06.2020) and the second wave (n = 344; from 01.07.2020-31.01.2021).

RESULTS

 Patients' age, gender and comorbidities were similar with the exception of venous thrombosis in medical history which was more frequent in the first wave (6 % vs 0.3 %, p = p = 0,001). At admission, there were no differences in the results of the initial lab values (c-reactive protein, leucocytes) and blood gas analyses between both groups. Treatment differed in the application of dexamethasone and anticoagulation. In the first wave, nobody received dexamethasone. However, this changed to 52.6 % of patients in the second wave for a mean length of 3.6 ± 4.1 days. Anticoagulation with double standard prophylaxis (2 × 40 mg low molecular heparin, subcutaneous) was applied in 7.1 % of patients in the first wave but 30.2 % (p = 0.002) in the second wave. In the first wave more thromboembolic events were diagnosed after admission (19.0 % vs 7.0 %, p = 0.001). In-hospital death was 26.2 % in the first wave and 15.4 % in the second wave (p = 0.0234). Most deaths were attributed to acute respiratory distress syndrome (ARDS).

CONCLUSION

 Patients' characteristics did not vary in Germany's first and second COVID 19 wave, but anticoagulation and dexamethasone were applied more frequently in the second wave. In addition, there were fewer thromboembolic complications in the second wave.

The COVID-19 Pandemic and Responses in Nursing Homes: A Cross-Sectional Study in Four European Countries

BACKGROUND

Studies comparing how the European nursing homes (NHs) handled the first wave of the COVID-19 pandemic remain scarce.

METHODS

A cross-sectional study was conducted during the first wave in a private NHs network in Belgium, France, Germany and Italy. Mortality rates were estimated, and prevention and control measures were described by country. Data from the Oxford governmental response tracker project were used to elaborate a "modified stringency index" measuring the magnitude of the COVID-19 global response.

RESULTS

Of the 580 NHs surveyed, 383 responded to the online questionnaire. The COVID-19 mortality rate was similar in France (3.9 deaths per 100 residents) and Belgium (4.5). It was almost four times higher in Italy (11.9) and particularly low in Germany (0.3). Prevention and control measures were diversely implemented: residents' sectorization was mainly carried out in France and Italy (~90% versus ~30% in Germany and Belgium). The "modified stringency index" followed roughly the same pattern in each country.

CONCLUSION

This study, conducted in a European network of NHs, showed differences in mortality rate which could be explained by the characteristics of the residents, the magnitude of the first wave and the prevention and control measures implemented. These results may inform future European preparedness plans.

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.

Factors associated with COVID-19 stigma during the onset of the global pandemic in India: A cross-sectional study

Objective

To assess factors associated with COVID-19 stigmatizing attitudes in the community and stigma experiences of COVID-19 recovered individuals during first wave of COVID-19 pandemic in India.

Methods

A cross-sectional study was conducted in 18 districts located in 7 States in India during September 2020 to January 2021 among adults > 18 years of age selected through systematic random sampling. Data on socio demographic and COVID-19 knowledge were collected from 303 COVID-19 recovered and 1,976 non-COVID-19 infected individuals from community using a survey questionnaire. Stigma was assessed using COVID-19 Stigma Scale and Community COVID-19 Stigma Scale developed for the study. Informed consent was sought from the participants. Univariate and multivariate binary logistic regression analysis were conducted.

Results

Half of the participants (51.3%) from the community reported prevalence of severe stigmatizing attitudes toward COVID-19 infected while 38.6% of COVID-19 recovered participants reported experiencing severe stigma. Participants from the community were more likely to report stigmatizing attitudes toward COVID-19 infected if they were residents of high prevalent COVID-19 zone (AOR: 1.5; CI: 1.2-1.9), staying in rural areas (AOR: 1.5; CI:1.1-1.9), belonged to the age group of 18-30 years (AOR: 1.6; CI 1.2-2.0), were male (AOR: 1.6; CI: 1.3-1.9), illiterate (AOR: 2.7; CI: 1.8-4.2), or living in Maharashtra (AOR: 7.4; CI: 4.8-11.3). COVID-19 recovered participants had higher odds of experiencing stigma if they had poor knowledge about COVID-19 transmission (AOR: 2.8; CI: 1.3-6.3), were staying for 6-15 years (AOR: 3.24; CI: 1.1-9.4) in the current place of residence or belonged to Delhi (AOR: 5.3; CI: 1.04-26.7).

Conclusion

Findings indicated presence of stigmatizing attitudes in the community as well as experienced stigma among COVID-19 recovered across selected study sites in India during the first wave of COVID-19 pandemic. Study recommends timely dissemination of factual information to populations vulnerable to misinformation and psychosocial interventions for individuals affected by stigma.

Discrepancy between biomarkers of lung injury and 1-year mortality in COVID-19

BACKGROUND

COVID-19 global pandemic started in late 2019 with the first wave. In this cross-sectional and observational study, we evaluated the associations between the biomarkers, COVID-19 pneumonia severity and 1-year mortality.

METHODS

A sample of 276 polymerase chain reaction (PCR)-positive patients for SARS-CoV-2 was included. Computerized tomography severity score (CT-SS) was used to assess the severity of COVID-19 pneumonia in 222 cases. Multivariate analyses were performed to find the predictors of CT-SS, severe CT-SS (≥20) and 1-year mortality. Biomarkers of ferritin, high-sensitive C-reactive protein (CRP), lactate dehydrogenase (LDH), cardiac troponin (cTn), neutrophil-to-lymphocyte ratio (NLR), uric acid (UA) and d-dimer were routinely measured.

RESULTS

Severe CT-SS (>20) was observed in 86 (31.2%) cases. Mortality was observed in 75 (27.2%) patients at 1 year. LDH displayed the highest predictive accuracy for severe CT-SS (AUC 0.741, sensitivity = 81% and specificity = 68%, cut-off value: 360 mg/dl). Linear regression analysis displayed that LDH predicted CT-SS [B = 11 (95% CI for B = 5-17, p < .001)]. Age was the most significant parameter that was associated with severe CT-SS (OR 0.96, 95% CI 0.92-0.99, p = .015). d-dimer was the only biomarker that predicted with 1-year mortality (OR 1.62, 95% CI 1.08-2.42, p = .020).

CONCLUSION

LDH is a sensitive and specific biomarker to determine patients with severe lung injury in COVID-19. d-dimer is the only biomarker that predicts 1-year mortality. Neither LDH nor CT-SS is associated with 1-year mortality.

The experience of anaesthesiology care providers in temporary intensive care units during the COVID-19 pandemic in France: a qualitative study

BACKGROUND

During the COVID-19 pandemic, care providers (CPs) worldwide grappled with the extraordinary number of severely ill patients with high fatality rates. The objective of this study is to explore the experience of anaesthesiology CPs in temporary intensive care units during the COVID-19 pandemic's first wave.

METHODS

CPs were interviewed at a university hospital in Paris, France. We conducted a qualitative study using interpretative phenomenological analysis.

RESULTS

Fifteen participants were included (five nurses, three nurse managers, and seven physicians). The analysis uncovered four themes: 1. Overworked care providers in an intensive care unit under pressure; 2. The disrupted relationship among patients, their families, and end-of-life care; 3. Short-term coping strategies; 4. A long-term transformative experience for care providers.

DISCUSSION

The COVID-19 pandemic has drained CPs physically and emotionally. Infection control protocols, lack of knowledge about this new disease, the establishment of open-space care settings, and the disruption of relationships have posed ethical dilemmas, leading CPs to question the meaning of their profession, and their future professional involvement. CPs at both an individual and institutional level employed numerous coping strategies, relying on a strong team spirit and a reinforced sense of duty. Nevertheless, after the end of the first wave, participants described the long-lasting psychological impact of this experience and frustration at the lack of recognition from their institutions and from policymakers. This study can inform institutional interventions and public health policy to support CPs during and after such a crisis to ensure their well-being and high standards of care.

Comparison of neutralizing antibody response in first and second waves of SARS-CoV-2 pandemic in India

The Delta variant leads to the resurgence of the second wave in India. A 1.51-fold increase in neutralizing antibody response was observed in the second wave compared with first wave, indicating the second wave dominated by the Delta elicited a robust immune response.

COVID-19 in Malaysia: Descriptive Epidemiologic Characteristics of the First Wave

This study aimed to describe the characteristics of COVID-19 cases and close contacts during the first wave of COVID-19 in Malaysia (23 January 2020 to 26 February 2020), and to analyse the reasons why the outbreak did not continue to spread and lessons that can be learnt from this experience. Characteristics of the cases and close contacts, spatial spread, epidemiological link, and timeline of the cases were examined. An extended SEIR model was developed using several parameters such as the average number of contacts per day per case, the proportion of close contact traced per day and the mean daily rate at which infectious cases are isolated to determine the basic reproduction number (R₀) and trajectory of cases. During the first wave, a total of 22 cases with 368 close contacts were traced, identified, tested, quarantine and isolated. Due to the effective and robust outbreak control measures put in place such as early case detection, active screening, extensive contact tracing, testing and prompt isolation/quarantine, the outbreak was successfully contained and controlled. The SEIR model estimated the R₀ at 0.9 which further supports the decreasing disease dynamics and early termination of the outbreak. As a result, there was a 11-day gap (free of cases) between the first and second wave which indicates that the first wave was not linked to the second wave.

Health risk behaviors before and during COVID-19 and gender differences

Changes in routines and habits, fear of contamination from the coronavirus disease 2019 (COVID-19) virus, and economic crisis have resulted in significant impacts upon individuals' lives, health, and risk behaviors. The present study aims to analyze health risk behaviors and gender differences of Portuguese adults before and during the COVID-19 pandemic. A quantitative analysis using SPSS v. 26 software presents the evaluation of 5746 responses (M = 48.5 years, SD = 14.3), of which 67.7% were female. t Test was used to study differences in means before and during the pandemic and analysis of variance test to analyze gender differences. In the comparative study before and during the pandemic showed a decrease in the number of meals per day, physical activity and perception of sleep quality; an increase in tobacco use, beer consumption, and media use (TV, mobile phone, social networks, and online games). Gender differences study demonstrated that the number of meals per day suffered a decrease from pre to pandemic in women, while increasing in men, becoming prominent in the second moment under study. Both genders had an increase in consumption behaviors and substance use, but women revealed a decrease in the consumption of wine during the pandemic, while men revealed more consumption behaviors in the variables under study. The use of media also changed, with men showing a higher level in TV hours per day, social networks and online games before the pandemic and in TV hours per day and games/online during the pandemic. Women stand out in the use of mobile phone per day during the pandemic. Daily physical activity decreased during the pandemic, as did sleep quality. Males revealed a higher practice of physical activity at both periods, as well as sleep quality. Based on the results presented, it is expected that considerations and actions in the scope of public health policies and health prevention and promotion, will be rethought and adapted to the specificities of each gender.

Subjective mental well-being among higher education students in Finland during the first wave of COVID-19

Aims:

Increased mental health problems during the COVID-19 pandemic have become a major concern among young adults. Our aim was to understand which COVID-19-related questions predicted mental well-being during the outbreak.

Methods:

Two cross-sectional datasets were used. The primary dataset was collected in May 2020 (n = 1001), during the initial COVID-19 outbreak, and the secondary in April 2019 (n = 10866), before the pandemic. Mental well-being was assessed with the Short Warwick–Edinburgh Mental Well-Being Scale. Relationships between mental well-being and COVID-19-related questions were investigated with lasso regression. As an exploratory analysis, two-way ANOVAs were used to compare mental well-being before and during the outbreak.

Results:

Higher levels of mental well-being were associated with lower levels of academic stress and COVID-19-related worry, along with a higher satisfaction with the procedures and information provided by the higher education institutions and the government. COVID-19-related symptoms and infections did not have an impact on students’ mental well-being during the outbreak. Small to moderate effect sizes across the time points were detected, indicating an overall decrease in mental well-being across age and gender during the outbreak.

Conclusions:

COVID-19 had an impact on higher education students’ mental well-being. Higher education institutes may play a crucial role in protecting their students’ well-being during uncertain times.

Quality of life, mood, and cognitive performance in older adults with cognitive impairment during the first wave of COVID 19 in Argentina

BACKGROUND AND OBJECTIVES

In Argentina, government has established lockdown on 19 March 2020 to decrease SARS-COV-2 infection. The study aim was to understand how mandatory quarantine imposed due to COVID-19 pandemic has affected quality of life, mood, and cognitive performance of older adults with cognitive impairment.

DESIGN

Longitudinal descriptive-observational study.

PARTICIPANTS

Patients with cognitive impairment attending to online cognitive training sessions.

MEASUREMENTS

Participants have completed by themselves Quality of Life in Alzheimer's Disease scale (QOL-AD), Beck Depression Inventory (BDI-II), Test your Memory (TYM), and an attention and executive task created by our institution. Same assessments were done at the beginning of the lockdown and 7 months later.

RESULTS

Fifty-one adults were included. An increase in BDI-II score (p = 0.049) and worse performance in one of the executive attention tests (p = 0.012) have been found. No significant differences in QOL-AD, TYM, verbal fluency, or memory tests total scores have been observed. Reviewing scales subitems, differences in changes in sleep habits (p = 0.021), energy level decrease (p = 0.004), worse subjective record of memory capacity (p = 0.028), and decrease in ability to do housework (p = 0.007) have been shown. In those who lived alone, BDI and TYM higher scores in BDI-II (p = 0.030) (p = 0.022) have been found.

CONCLUSION

Mandatory quarantine imposed due to COVID-19 pandemic was associated with worsening of mood, some quality-of-life variables, and decrease in attention in older adults with cognitive impairment in Argentina.

Factors Influencing COVID-19 Vaccination Intentions Among College Students: A Cross-Sectional Study in India

Background: Students act as messengers in delivering effective messages for better uptake of health-promoting behavior. Understanding their knowledge about coronavirus disease 2019 (COVID-19), intentions to use the COVID-19 vaccine, and its associated factors will help develop promising strategies in vaccine promotion concerning the current COVID-19 pandemic. Methods: A cross-sectional online survey was carried out among students in the healthcare and non-healthcare sectors to assess their intentions to get vaccinated against the COVID-19. A non-probability snowball sampling technique was used to recruit study participants (N = 655) through social media platforms and emails. Study participants were recruited across the country, including six major geographical regions (Eastern, Western, Northern, Southern, North-east, and Central) in India between November 2020 and January 2021 before the introduction of the COVID-19 vaccine. Descriptive statistics were used to present the sociodemographic, and vaccine-related behaviors of the study participants. Key determinants that likely predict vaccine acceptance among students were modeled using logistic regression analysis. For each analysis, p < 0.05 was considered significant. Results: A total of 655 students were recruited, 323 from healthcare and 332 from non-healthcare sectors, to assess their intentions to receive the COVID-19 vaccine. Of the 655 students, 63.8% expressed intentions to receive the COVID-19 vaccine. The acceptance was higher among non-healthcare students (54.07 vs. 45.93%). At the time of the study, 27.8% of the students indicated that they had been exposed to a confirmed COVID-19 patient. A vast majority (93.4%) of the students knew about the COVID-19 virus, and most (89.3%) of them were aware of the development of a COVID-19 vaccine. The history of vaccine hesitancy was found to be low (17.1%). Only one-third (33.4%) of the students showed concern about contracting COVID-19. Trust in the healthcare system [adjusted odds ratio (aOR): 4.13; (95% CI: 2.83-6.04), p < 0.00] and trust in domestic vaccines [aOR: 1.46; (95% CI: 1.02-2.08), p < 0.05] emerged as the significant predictors of student's intention to get vaccinated. Higher acceptance for vaccine was observed among students in the non-healthcare [aOR: 1.982; 95% CI: 1.334-2.946, p < 0.00]. Conclusion: This study shows that the Indian college students had relatively high levels of positive intentions to receive COVID-19 vaccines, although about one-third were not sure or unwilling to receive the vaccine, highlighting possible vaccine hesitancy. Informational campaigns and other strategies to address vaccine hesitancy are needed to promote uptake of COVID-19 vaccines.

Synopsis of symptoms of COVID-19 during second wave of the pandemic in India

COVID-19 was caused by the original coronavirus, severe acute respiratory syndrome associated coronavirus-2 (SARS CoV2), which originated in Wuhan, China. COVID-19 had a large breakout of cases in early 2020, resulting in an epidemic that turned into a pandemic. This quickly enveloped the global healthcare system. The principal testing method for COVID-19 detection, according to the WHO, is reverse transcription polymerase chain reaction (RT-PCR). Isolation of patients, quarantine, masking, social distancing, sanitizer use, and complete lockdown were all vital health-care procedures for everyone. With the 'new normal' and vaccination programmes, the number of cases and recovered patients began to rise months later. The easing of restrictions during the plateau phase resulted in a rebound of instances, which hit the people with more ferocity and vengeance towards the start of April 2021. Coronaviruses have evolved to cause respiratory, enteric, hepatic, and neurologic diseases, resulting in a wide range of diseases and symptoms such as fever, cough, myalgia or fatigue, shortness of breath, muscle ache, headache, sore throat, rhinorrhea, hemoptysis, chest pain, nausea, vomiting, diarrhoea, anosmia, and ageusia. Coronavirus infections can be mild, moderate, or severe in intensity. COVID-19 pulmonary dysfunction includes lung edoema, ground-glass opacities, surfactant depletion, and alveolar collapse. Patients who presented with gastrointestinal (GI) symptoms such as anorexia, nausea, vomiting, or diarrhoea had a higher risk of negative outcomes. COVID-19's influence on cognitive function is one of COVID-19's long-term effects. More clinical situations need to be reviewed by healthcare professionals so that an appropriate management protocol may be developed to reduce morbidity and death in future coming third/fourth wave cases.

Modeling Effects of Spatial Heterogeneities and Layered Exposure Interventions on the Spread of COVID-19 across New Jersey

COVID-19 created an unprecedented global public health crisis during 2020-2021. The severity of the fast-spreading infection, combined with uncertainties regarding the physical and biological processes affecting transmission of SARS-CoV-2, posed enormous challenges to healthcare systems. Pandemic dynamics exhibited complex spatial heterogeneities across multiple scales, as local demographic, socioeconomic, behavioral and environmental factors were modulating population exposures and susceptibilities. Before effective pharmacological interventions became available, controlling exposures to SARS-CoV-2 was the only public health option for mitigating the disease; therefore, models quantifying the impacts of heterogeneities and alternative exposure interventions on COVID-19 outcomes became essential tools informing policy development. This study used a stochastic SEIR framework, modeling each of the 21 New Jersey counties, to capture important heterogeneities of COVID-19 outcomes across the State. The models were calibrated using confirmed daily deaths and SQMC optimization and subsequently applied in predictive and exploratory modes. The predictions achieved good agreement between modeled and reported death data; counterfactual analysis was performed to assess the effectiveness of layered interventions on reducing exposures to SARS-CoV-2 and thereby fatality of COVID-19. The modeling analysis of the reduction in exposures to SARS-CoV-2 achieved through concurrent social distancing and face-mask wearing estimated that 357 [IQR (290, 429)] deaths per 100,000 people were averted.

Systematic Assessment of COVID-19 Pandemic in Bangladesh: Effectiveness of Preparedness in the First Wave

Background: To develop an effective countermeasure and determine our susceptibilities to the outbreak of COVID-19 is challenging for a densely populated developing country like Bangladesh and a systematic review of the disease on a continuous basis is necessary. Methods: Publicly available and globally acclaimed datasets (4 March 2020-30 September 2020) from IEDCR, Bangladesh, JHU, and ECDC database are used for this study. Visual exploratory data analysis is used and we fitted a polynomial model for the number of deaths. A comparison of Bangladesh scenario over different time points as well as with global perspectives is made. Results: In Bangladesh, the number of active cases had decreased, after reaching a peak, with a constant pattern of death rate at from July to the end of September, 2020. Seventy-one percent of the cases and 77% of the deceased were males. People aged between 21 and 40 years were most vulnerable to the coronavirus and most of the fatalities (51.49%) were in the 60+ population. A strong positive correlation (0.93) between the number of tests and confirmed cases and a constant incidence rate (around 21%) from June 1 to August 31, 2020 was observed. The case fatality ratio was between 1 and 2. The number of cases and the number of deaths in Bangladesh were much lower compared to other countries. Conclusions: This study will help to understand the patterns of spread and transition in Bangladesh, possible measures, effectiveness of the preparedness, implementation gaps, and their consequences to gather vital information and prevent future pandemics.

Covid-19 Infection in India: A Comparative Analysis of the Second Wave with the First Wave

Coronavirus disease 2019 (COVID-19) is considered as the most dreaded disease that has spread all over the world in the recent past. Despite its outbreak in December 2019–January 2020, a few continents and countries such as India started to experience a significant number of COVID-19-positive cases from March 2020. GISAID clade variation analysis in the period March 2020–February 2021 (period I) and March 2021–first week of April 2021 (period II) showed a rapid variation of SARS-CoV-2 in all continents and India over time. Studying the relationship of patient age or gender with viral clades in these two periods revealed that the population under 10 years of age was the least affected, whereas the 11–60-year-old population was the most affected, irrespective of patient gender and ethnicity. In the first wave, India registered quite a low number of COVID-19-positive cases/million people, but the scenario unexpectedly changed in the second wave, when even over 400,000 confirmed cases/day were reported. Lineage analysis in India showed the emergence of new SARS-CoV-2 variants, i.e., B.1.617.1 and B.1.617.2, during April–May 2021, which might be one of the key reasons for the sudden upsurge of confirmed cases/day. Furthermore, the emergence of the new variants contributed to the shift in infection spread by the G clade of SARS-CoV-2 from 46% in period II to 82.34% by the end of May 2021. Along with the management of the emergence of new variants, few factors viz., lockdown and vaccination were also accountable for controlling the upsurge of new COVID-19 cases throughout the country. Collectively, a comparative analysis of the scenario of the first wave with that of the second wave would suggest policymakers the way to prepare for better management of COVID-19 recurrence or its severity in India and other countries.

Rapid and Laboratory SARS-CoV-2 Antibody Testing in High-Risk Hospital Associated Cohorts of Unknown COVID-19 Exposure, a Validation and Epidemiological Study After the First Wave of the Pandemic

Objective: We aimed to use SARS-CoV-2 antibody tests to assess the asymptomatic seroprevalence of individuals in high-risk hospital cohorts who's previous COVID-19 exposure is unknown; staff, and patients requiring haemodialysis or chemotherapy after the first wave.

Methods: In a single Center, study participants had five SARS-CoV-2 antibody tests done simultaneously; one rapid diagnostic test (RDT) (Superbio Colloidal Gold IgM/IgG), and four laboratory tests (Roche Elecsys® Anti-SARS-CoV-2 IgG [RE], Abbott Architect i2000SR IgG [AAr], Abbott Alinity IgG [AAl], and Abbott Architect IgM CMIA). To determine seroprevalence, only positive test results on laboratory assay were considered true positives.

Results: There were 157 participants, of whom 103 (65.6%) were female with a median age of 50 years (range 19–90). The IgG component of the RDT showed a high number of false positives (n = 18), was inferior to the laboratory assays (p < 0.001 RDT vs. AAl/AAr, p < 0.001 RDT vs. RE), and had reduced specificity (85.5% vs. AAl/AAr, 87.2% vs. RE). Sero-concordance was 97.5% between IgG laboratory assays (RE vs. AAl/AAr). Specificity of the IgM component of the RDT compared to Abbott IgM CMIA was 95.4%. Ten participants had positivity in at least one laboratory assay, seven (9.9%) of which were seen in HCWs. Two (4.1%) hematology/oncology (H/O) patients and a single (2.7%) haemodialysis (HD) were asymptomatically seropositive. Asymptomatic seroprevalence of HCWs compared to patients was not significant (p = 0.105).

Conclusion: HCWs (9.9%) had higher, although non-significant asymptomatic seroprevalence of SARS-CoV-2 antibodies compared to high-risk patients (H/O 4.1%, HD 2.7%). An IgM/IgG rapid diagnostic test was inferior to laboratory assays. Sero-concordance of 97.5% was found between IgG laboratory assays, RE vs. AAl/AAr.

First wave of COVID-19 impact on emergency general surgery in a Spanish tertiary hospital. A cohort study

INTRODUCTION

The need to care for patients with emergency symptoms still continues during the COVID-19 pandemic. The number of emergency surgery procedures performed in Spanish hospitals decreased significantly during the first wave of COVID-19.

PATIENTS AND METHODS

We performed a retrospective cohort study comparing the emergency surgery activity in a Spanish tertiary Hospital during the COVID-19 pandemic and emergency surgery activity registered in 2019 during the equivalent time period.

RESULTS

A total of 1802 patients were included in control group (CG) versus 756 in pandemic group (PG). Mean number of patients who underwent emergency surgery during the control and pandemic periods was 3.42 patients per day, in contrast to 1.62 during the pandemic period, which represents a 52.6% decrease in emergency surgery activity. During the pandemic period, most of the patients consulted after more than 72 h of symptoms, representing a delay in presenting in the ER of 23.7% when compared to CG. Surgeries due to complications from previous elective procedures decreased (12% vs. 6.1%) in PG, probably because elective procedures are being postponed. We had a 13.1% COVID-19 positivity rate. Morbidity was higher during pandemic (52.5% vs. 35.2%). Mortality rates in patients undergoing emergency surgery was higher in PG (12.1% vs. 4.8%).

CONCLUSIONS

The impact of the first wave of COVID-19 in emergency surgery activity has been profound. A significant reduction in emergency surgery was observed, along with longer time periods between patients' onset of symptoms and their arrival at the Emergency Department. Higher morbidity was also observed during the pandemic period.

Consequences of the first and second COVID-19 wave on kidney transplant recipients at a large Indian transplant centre

Background

There is a scarcity of data comparing the consequences of first and second COVID‐19 waves on kidney transplant recipients (KTRs) in India.

Methods

We conducted a single‐centre retrospective study of 259 KTRs with COVID‐19 to compare first wave (March 15–December 31 2020, n = 157) and second wave (April 1–May 31 2021, n = 102).

Results

KTRs during second wave were younger (43 vs. 40 years; p‐value .04) and also included paediatric patients (0 vs. 5.9%; p‐value .003). Symptoms were milder during the second wave (45 vs. 62.7%; p‐value .007); COVID‐19 positive patients had less frequent cough (32 vs. 13.8%; p‐value .001), fever was less frequent (58 vs. 37%; p‐value .001), and we observed fewer co‐morbidities (11 vs. 20.6%; p‐value .04). The percentages of neutrophils (77 vs. 83%; p‐value .001) and serum ferritin (439 vs. 688; p‐value .0006) were higher during second wave, while lymphocyte counts were reduced (20 vs. 14%; p‐value .0001). Hydroxychloroquine (11 vs. 0%; p‐value .0001) and tocilizumab (7 vs. 0%; p‐value .004) were more frequently prescribed during first wave, while utilization of dexamethasone (6 vs. 27%; p‐value .0001) and remdesivir (47 vs. 65%; p‐value .03) increased during the second wave. Mucormycosis (1.3 vs. 10%; p‐value .01) and ICU admissions (20 vs. 37.2%; p‐value .002) were more frequent during second wave. The 28‐day mortality rate (9.6 vs. 10%; p‐value 1) was not different.

Conclusions

There has been a different clinical spectrum of COVID‐19 amongst KTR with similar mortality between the two waves at a large Indian transplant centre.

A large single centre study from India reporting on the health outcomes of COVID‐19 infected kidney transplant recipients during the two waves of between 2020 and 2021. The rate of intensive care admission was more frequent during the second wave of infection although mortality rates were similar in both waves.

An Overview of the Treatment Options Used for the Management of COVID-19 in Pakistan: Retrospective Observational Study

BACKGROUND

Since the first reports of COVID-19 infection, the foremost requirement has been to identify a treatment regimen that not only fights the causative agent but also controls the associated complications of the infection. Due to the time-consuming process of drug discovery, physicians have used readily available drugs and therapies for treatment of infections to minimize the death toll.

OBJECTIVE

The aim of this study is to provide a snapshot analysis of the major drugs used in a cohort of 1562 Pakistani patients during the period from May to July 2020, when the first wave of COVID-19 peaked in Pakistan.

METHODS

A retrospective observational study was performed to provide an overview of the major drugs used in a cohort of 1562 patients with COVID-19 admitted to the four major tertiary-care hospitals in the Rawalpindi-Islamabad region of Pakistan during the peak of the first wave of COVID-19 in the country (May-July 2020).

RESULTS

Antibiotics were the most common choice out of all the therapies employed, and they were used as first line of treatment for COVID-19. Azithromycin was the most prescribed drug for treatment. No monthly trend was observed in the choice of antibiotics, and these drugs appeared to be a random but favored choice throughout the months of the study. It was also noted that even antibiotics used for multidrug resistant infections were prescribed irrespective of the severity or progression of the infection. The results of the analysis are alarming, as this approach may lead to antibiotic resistance and complications in immunocompromised patients with COVID-19. A total of 1562 patients (1064 male, 68.1%, and 498 female, 31.9%) with a mean age of 47.35 years (SD 17.03) were included in the study. The highest frequency of patient hospitalizations occurred in June (846/1562, 54.2%).

CONCLUSIONS

Guidelines for a targeted treatment regime are needed to control related complications and to limit the misuse of antibiotics in the management of COVID-19.

Patient Characteristics and Clinical Course of COVID-19 Patients Treated at a German Tertiary Center during the First and Second Waves in the Year 2020

In this study, we directly compared coronavirus disease 2019 (COVID-19) patients hospitalized during the first (27 February-28 July 2020) and second (29 July-31 December 2020) wave of the pandemic at a large tertiary center in northern Germany. Patients who presented during the first (n = 174) and second (n = 331) wave did not differ in age (median [IQR], 59 years [46, 71] vs. 58 years [42, 73]; p = 0.82) or age-adjusted Charlson Comorbidity Index (median [IQR], 2 [1, 4] vs. 2 [0, 4]; p = 0.50). During the second wave, a higher proportion of patients were treated as outpatients (11% [n = 20] vs. 20% [n = 67]), fewer patients were admitted to the intensive care unit (43% [n = 75] vs. 29% [n = 96]), and duration of hospitalization was significantly shorter (median days [IQR], 14 [8, 34] vs. 11 [5, 19]; p < 0.001). However, in-hospital mortality was high throughout the pandemic and did not differ between the two periods (16% [n = 27] vs. 16% [n = 54]; p = 0.89). While novel treatment strategies and increased knowledge about the clinical management of COVID-19 may have resulted in a less severe disease course in some patients, in-hospital mortality remained unaltered at a high level. These findings highlight the unabated need for efforts to hamper severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) transmission, to increase vaccination coverage, and to develop novel treatment strategies to prevent mortality and decrease morbidity.

Prevalence and Course of IgA and IgG Antibodies against SARS-CoV-2 in Healthcare Workers during the First Wave of the COVID-19 Outbreak in Germany: Interim Results from an Ongoing Observational Cohort Study

(1) Background: Healthcare workers (HCWs) are prone to intensified exposure to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in the ongoing pandemic. We prospectively analyzed the prevalence of antibodies against SARS-CoV-2 in HCWs at baseline and follow up with regard to clinical signs and symptoms in two university hospitals in Brandenburg, Germany. (2) Methods: Screening for anti-SARS-CoV-2 IgA and IgG antibodies was offered to HCWs at baseline and follow up two months thereafter in two hospitals of Brandenburg Medical School during the first wave of the COVID-19 pandemic in Germany in an ongoing observational cohort study. Medical history and signs and symptoms were recorded by questionnaires and analyzed. (3) Results: Baseline seroprevalence of anti-SARS-CoV-2 IgA was 11.7% and increased to 15% at follow up, whereas IgG seropositivity was 2.1% at baseline and 2.2% at follow up. The rate of asymptomatic seropositive cases was 39.5%. Symptoms were not associated with general seropositivity for anti-SARS-CoV-2; however, class switch from IgA to IgG was associated with increased symptom burden. (4) Conclusions: The seroprevalence of antibodies against SARS-CoV-2 was low in HCWs but higher compared to population data and increased over time. Screening for antibodies detected a significant proportion of seropositive participants cases without symptoms.

The Impact of the COVID-19 Pandemic on Mental Health: Evidence from Cyprus

The aim of the current study was to examine mental health effects of the first wave of COVID-19 (Corona Virus Disease-19) in Cyprus. Accordingly, 388 individuals aged 18–65+ responded to the Components of Mental Health Questionnaire that was distributed via social media for two weeks assessing how emotional distress, support and interest in self and others, lifestyle changes, engagement in protective measures, and avoidant behaviors were related to participants’ gender, age, and place of residency. Additionally, we measured the level of concern of individuals during and after the first wave outbreak of the pandemic. The results suggest that (a) females experience higher levels of anxiety, stress, fear, worry, and despair than males and are more likely to undertake protective measures, (b) older individuals and those who live in urban areas perceive greater social support and interest in the emotional experience of significant others, (c) emotional distress and support and interest in self and others are associated with all other variables, indicating the importance of these constructs to the experience of a pandemic, and (d) there was a decrease in participants’ concern after the end of the first wave of the pandemic. Mental health professionals could find this information useful when developing and implementing prevention programs that aim to offer psychological support during this stressful period.

Different dynamics of mean SARS-CoV-2 RT-PCR Ct values between the first and second COVID-19 waves in the Madrid population

SARS‐CoV‐2 RT‐PCR cycle threshold values from 18,803 cases (2 March–4 October) in Madrid define three stages: (i) initial ten weeks with sustained reduction in viral load (Ct: 23.4–32.3), (ii) stability with low viral loads (Ct: 31.9–35.5) in the next nine weeks and (iii) sudden increase with progressive higher viral loads until reaching stability at high levels in the next twelve weeks, coinciding with an increased percentage of positive cases and reduced median age. These data indicate differential virological/epidemiological patterns between the first and second COVID‐19 waves in Madrid.

[Sars-CoV-2, a new virus of the coronavirus family]

The world is facing the first viral pandemic of the 21st century. It is time, at the end of this first wave and in the core of the second, to take stock of what we have learned about this new virus, the severe acute respiratory syndrome coronavirus 2, our difficulties and shortcomings, but also our successes in managing this major health crisis.