Wave Of Coronavirus Disease 2019 Research Articles

Risk factors for severe outcomes of coronavirus disease 2019 through the waves of the pandemic: Comparing patients with and without solid organ transplantation.

While coronavirus disease 2019 (COVID-19) is no longer a public health emergency, certain patients remain at risk of severe outcomes. To better understand changing risk profiles, we studied the risk factors for patients with and without solid organ transplantation (SOT) through the various waves of the pandemic. Using the National COVID Cohort Collaborative we studied a cohort of adult patients testing positive for COVID-19 between January 1, 2020, and May 2, 2022. We separated the data into waves of COVID-19 as defined by the Centers for Disease Control. In our primary outcome, we used multivariable survival analysis to look at various risk factors for hospitalization in those with and without SOT. A total of 3,570,032 patients were captured. We found an overall risk attenuation of adverse COVID-19-associated outcomes over time. In both non-SOT and SOT populations, diabetes, chronic kidney disease, and congestive heart failure were risk factors for hospitalization. For SOT specifically, longer time periods between transplant and COVID-19 were protective and age was a risk factor. Notably, asthma was not a risk factor for major adverse renal cardiovascular events, hospitalization, or mortality in either group. Our study provides a longitudinal view of the risks associated with adverse COVID-related outcomes amongst SOT and non-SOT patients, and how these risk factors evolved over time. Our work will help inform providers and policymakers to better target high-risk patients.

Bayesian probability revision and infection prevention behavior in Japan: A quantitative analysis of the first wave of COVID-19

The relationship between cognitive biases and infection prevention behavior remains unexplored in the existing literature. This study uses data from a questionnaire survey conducted in Japan on the first wave of Coronavirus Disease 2019 (COVID-19) from February to May 2020 to empirically investigate the impact of Bayesian probability inference, the influence of cognitive biases of PCR test results on infection prevention behavior, and the discrepancy between infection prevention intentions and behaviors. We used a bivariate ordinal probit model when considering the correlation between behaviors. The results showed that the higher probability responses, implying pessimistic biases, were more likely to indicate that declaring a state of emergency was necessary and effective, and were more health-oriented in ensuring infection prevention behavior even at the expense of the economy. However, the study found that although they wanted to reduce the frequency of their outings and the number of people they met, they did not reduce them in terms of actual behavior change. It also found that those with pessimistic biases had a higher WTP for the vaccine.

Comparison of T cell maturation profiles in the 1st and 5th wave of COVID-19 in the Polish population.

The coronavirus pandemic has become the most critical global health threat of this century and the greatest challenge to the human population. The search for simple and quick diagnostic methods enabling the identification of patients infected with the SARS-CoV-2 virus may be a valuable method to track infection. The aim of the study was the clinical and immunological characterization of patients by assessing the degrees of maturity of T lymphocytes from the 1st and 5th waves of coronavirus disease 2019 (COVID-19) in comparison to a healthy control group (HC). We determined leukocyte and T lymphocyte subpopulations (recent thymic emigrant (RTE), naïve, effector, central memory and effector memory) in patients from the 1st COVID-19 wave (n = 23), the 5th COVID-19 wave (n = 38) and HC (n=20) using a panel of monoclonal antibodies using multiparameter flow cytometry. We observed a lower median proportion of lymphocytes and NK cells, and elevated percentage and number of neutrophils in patients from the 5th wave compared to the 1st. We found a reduced percentage of CD4+ effector memory cells in the 1st wave group compared to the 5th wave (14.1 vs 23.2, p < 0.05), and a higher percentage of RTE and naïve CD8+ cells in the 1st wave compared to the 5th wave (p < 0.05). The effector memory CD8+ cells were highest in the 5th wave compared to both 1st wave and HC patients (respectively, 35.1 vs 18.1 vs 19.3%, p < 0.05). The 5th wave group showed significantly more differences compared to HC. Our results showed a clear increase of effector cells with a simultaneous decrease in virgin T cells in the 5th COVID-19 infection. Monitoring lymphocyte subsets during infection allows assessment of the patient's immune status and of readiness of lymphocytes to respond to the immune response, and may be necessary to improve clinical outcomes.

Mental Health of Teachers during the First Wave of COVID-19 in Daegu, Korea: Challenges in Reopening Schools

This study conducted an in-depth analysis of the psychological states of teachers during the first outbreak of coronavirus disease 2019 (COVID-19) using data on school mental health projects related to COVID-19 in Daegu from May to June 2020. The participants comprised 811 (34.9%) male and 1,511 (65.1%) female teachers in 1,041 (44.8%) middle and 1,281 (55.2%) high schools. After schools reopened, the most common causes of unbearable stress were unusual experiences, fear of infection, and negative emotions. Moreover, 41.5%/40.4% reported experiencing anxiety/depression, out of which 25.1%/23.6%, 10.0%/14.0%, and 6.4%/2.8% exhibited mild, moderate, and severe levels, respectively. The study identified the following influencing factors of anxiety: being female (OR: 1.52), years of employment (≤5 and &lt;15; OR: 1.36; reference: &lt;5), average monthly household income (≤3,000,000 and &lt;5,000,000 [OR: 0.69], 5,000,000 ≤ [OR: 0.67]; reference ≤1,000,000 and &lt;3,000,000 won), depression (OR: 19.14), posttraumatic stress symptoms (OR: 11.65), job stress (OR: 9.13), resilience (OR: 0.37), and subjective well-being (OR: 0.45). We identified the following factors for depression: being female (OR: 1.51), aged 40s (OR: 1.70; reference: 20s), average monthly household income (≤3,000,000 and &lt;5,000,000 [OR: 0.75], ≤5,000,000 [OR: 0.66]; reference: ≤1,000,000 and &lt;3,000,000 won), anxiety (OR: 19.14), posttraumatic stress symptoms (OR: 4.03), job stress (OR: 14.04), resilience (OR: 0.29), and subjective well-being (OR: 0.33). The findings suggest a necessity for specific, systematic measures and psychological support to teachers vulnerable to the impact of disasters, such as the COVID-19 pandemic, to cope with disasters and improve school adaptation.

Risk Factors for COVID-19 Cluster Infection in Hospitalized Patients.

Introduction In Japan, in the seventh wave of coronavirus disease 2019 (COVID-19) from July 2022 to September 2022, followed by the eighth wave of COVID-19 from November 2022 to January 2023, nosocomial clusters became more frequent in many healthcare facilities. If a cluster occurs in a hospital, the restrictions on general healthcare and the impact on hospital management, as well as the impact on community healthcare, are enormous. We analyzed the risk factors for COVID-19 cluster infection in hospitalized patients. Methods We retrospectively collected cases of COVID-19 infection among hospitalized patients in the seventh and eighth waves. The occurrence of a COVID-19 patient in a hospitalized patient was defined as one event. Results A total of 40 events were observed in the seventh and eighth waves. There were 17 events that developed into clusters. The following factors showed a significant association with cluster infection in a univariate analysis: "seventh wave," "originated from healthcare worker," and "initial examination according to contact list." The multivariate analysis revealed that "originated from healthcare worker" was independently associated with cluster infection. Conclusion Preventing the development of COVID-19 clusters is very important for nosocomial infection control. Our study suggests that COVID-19 infection in a healthcare worker is a risk factor for the development of a cluster. When healthcare workers are infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is often due to household transmission. Measures against household transmissions are important to prevent infection among healthcare workers.

The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19).

The coronavirus disease 2019 (COVID-19) public health emergency has had a huge impact worldwide. We analyzed news headlines and keywords from the initial period of COVID-19, and explored the dissemination timeline of news related to the epidemic, and the impact of Internet-based media on the public using lifecycle theory and agenda-setting theory. We aimed to explore the impact of Baidu news headlines on public attention during the first wave of COVID-19, as well as the management mechanism of regulatory departments for social public opinion. We searched Baidu News using the keywords "Novel Coronavirus" and "COVID-19" from 8 January to 21 February 2020, a total of 45 days, and used Python V3.6 to extract news samples during the first wave of the epidemic. We used text analysis software to structurally process captured news topics and content summaries, applied VOSviewer V6.19 and Ucinet V6.0 to examine key aspects of the data. We analyzed the impact of Baidu News headlines on social opinion during the first wave of COVID-19 in the budding, spread, and outbreak stage of the information lifecycle. From clustering visualization and social network analysis perspectives, we explored the characteristics of Baidu News during the initial stage of the COVID-19. The results indicated that agenda-setting coverage through online media helped to mitigate the negative impact of COVID-19. The findings revealed that news reporting generated a high level of public attention toward a specific emergency event. The public requires accurate and objective information on the progress of COVID-19 through Baidu News headlines to inform their planning for the epidemic. Meanwhile, government can enhance the management mechanism of news dissemination, correct false and inaccurate news, and guide public opinion in a positive direction. In addition, timely official announcements on the progress of the COVID-19 outbreak and responses to matters of public concern can help calm tensions and maintain social stability.

Metagenomic insights into fungal community composition of the nasopharyngeal region of COVID-19 associated mucormycosis patients from India.

Coronavirus disease 2019 (COVID-19) associated mucormycosis (CAM) was reported predominantly from India during the second wave of COVID-19 and has a high mortality rate. The present study aims to understand the fungal community composition of the nasopharyngeal region of CAM-infected individuals and compare it with severe COVID-19 patients and healthy controls. The fungal community composition was decoded by analyzing the sequence homology of theinternal transcribed spacer-2-(ITS-2)region of metagenomic DNA extracted from the upper respiratory samples. The alpha-diversity indices were found to be significantly altered in CAM patients (p < 0.05). Interestingly, a higher abundance of Candida africana, Candida haemuloni, Starmerella floris, and Starmerella lactiscondensi was observed exclusively in CAM patients. The interindividual changes in mycobiome composition were well supported by beta-diversity analysis (p < 0.05). The current study provides insights into the dysbiosis of the nasal mycobiome during CAM infection. In conclusion, our study shows that severe COVID-19 and CAM are associated with alteration in mycobiomeas compared to healthy controls. However, the sequential alteration in the fungal flora which ultimately leads to the development of CAM needs to be addressed by future studies.

Impact of the 2nd, 3rd and 4th waves of the COVID-19 pandemic on wait times in head and neck cancer: A retrospective study in a French expert center

BackgroundTreatment delay in head and neck cancer is a major problem, with impact on survival. The COVID-19 (coronavirus disease 2019) pandemic, evolving in waves around the world, caused diagnostic and therapeutic delays in certain cancers. The main objective of the present study was to analyze whether there was a change in wait times during three successive waves in our center. MethodThis was a single-center retrospective study of patients with a first diagnosis of head and neck cancer. Three groups, corresponding to waves 2, 3 and 4, were compared to a control group corresponding to a pre-pandemic period. Study data comprised median times between first consultation and tumor board meeting (C1-TB) and between tumor board meeting and treatment (TB-T). The significance threshold was set at P<0.005. ResultsNinety-six patients were included in the control group, and 154 in the “waves 2-3-4” group. There was no increase in C1-TB interval (respectively 35 and 26days, P=0.046) or TB-T interval (respectively 27 and 28days, P=0.723). ConclusionIntervals between first consultation and tumor board meeting and between tumor board meeting and treatment did not increase during the 2nd, 3rd and 4th waves of COVID-19 in our center.

Mask-Wearing Behavior Among Individuals Newly Diagnosed With Type 2 Diabetes: Insights From Community Health Screenings During the COVID-19 Pandemic in Indonesia

The coronavirus disease 2019 (COVID-19) pandemic has had a severe impact on people with type 2 diabete (T2D) and their health behaviors. This study investigated the associations between T2D status and mask-wearing behaviors in public settings during the first wave of COVID-19 among community residents in Yogyakarta, Indonesia. Outreach health checkups and self-report questionnaires were cross-sectionally conducted to measure for mask-wearing behavior, T2D status, and sociodemographic characteristics. Chi-square tests, bivariate, and multivariate logistic regression were performed for data analysis. Out of 254 total participants, nearly one forth (24%) of them were newly diagnosed with T2D, while 15% of them reported that they had ever been diagnosed as T2D before. There were no statistically significant associations between mask-wearing behavior and T2D status in bivariate and multivariate logistic regression models. However, Chi-square test results showed significant differences (P=0.02) in percentages of inconsistent mask-wearing behavior among those who were newly diagnosed as T2D (19.4%), those who had known as T2D (7.9%), and those who had no T2D (7.1%). This discrepancy in the results suggests the need for further investigations using larger sample size and more representative community samples to examine the associations between mask-wearing behaviors and T2D. Early diagnostic services and the awareness education for T2D is imperative to reduce the disease severity and mortality for future pandemic particularly among undiagnosed individuals who are unaware of their T2D status,

Host genetic variants associated with COVID-19 reconsidered in a Slovak cohort

We present the results of an association study involving hospitalized coronavirus disease 2019 (COVID-19) patients with a clinical background during the 3rd pandemic wave of COVID-19 in Slovakia. Seventeen single nucleotide variants (SNVs) in the eleven most relevant genes, according to the COVID-19 Host Genetics Initiative, were investigated. Our study confirms the validity of the influence of LZTFL1 and 2′-5′-oligoadenylate synthetase (OAS)1/OAS3 genetic variants on the severity of COVID-19. For two LZTFL1 SNVs in complete linkage disequilibrium, rs17713054 and rs73064425, the odds ratios of baseline allelic associations and logistic regressions (LR) adjusted for age and sex ranged in the four tested designs from 2.04 to 2.41 and from 2.05 to 3.98, respectively. The OAS1/OAS3 haplotype ‘gttg’ carrying a functional allele G of splice-acceptor variant rs10774671 manifested its protective function in the Delta pandemic wave. Significant baseline allelic associations of two DPP9 variants in all tested designs and two IFNAR2 variants in the Omicron pandemic wave were not confirmed by adjusted LR. Nevertheless, adjusted LR showed significant associations of NOTCH4 rs3131294 and TYK2 rs2304256 variants with severity of COVID-19. Hospitalized patients' reported comorbidities were not correlated with genetic variants, except for obesity, smoking (IFNAR2), and hypertension (NOTCH4). The results of our study suggest that host genetic variations have an impact on the severity and duration of acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Considering the differences in allelic associations between pandemic waves, they support the hypothesis that every new SARS-CoV-2 variant may modify the host immune response by reconfiguring involved pathways.

COVID-19 vaccination and transmission patterns among pregnant and postnatal women during the fifth wave of COVID-19 in a tertiary hospital in Hong Kong.

Vaccination is a key strategy to control the coronavirus disease 2019 (COVID-19) pandemic. Safety concerns strongly influence vaccine hesitancy. Disease transmission during pregnancy could exacerbate risks of preterm birth and perinatal mortality. This study examined patterns of vaccination and transmission among pregnant and postnatal women during the fifth wave of COVID-19 in Hong Kong. The Antenatal Record System and Clinical Management System of the Hospital Authority was used to retrieve information concerning the demographic characteristics, vaccination history, COVID-19 status, and obstetric outcomes of women who were booked for delivery at Queen Mary Hospital in Hong Kong and had attended the booking antenatal visit from 1 July 2021 to 30 June 2022. Among 2396 women in the cohort, 2006 (83.7%), 1843 (76.9%), and 831 (34.7%) had received the first, second, and third doses of COVID-19 vaccine, respectively. Among 1012 women who had received the second dose, 684 (67.6%) women were overdue for their third dose. There were 265 (11.1%) reported COVID-19 cases. Women aged 20 to 29 years had a low vaccination rate but the highest disease rate (19.1%). The disease rate was more than tenfold higher in women who had no (20.3%) or incomplete (18.8%) vaccination, compared with women who had complete vaccination (2.1%; P<0.001). Acceptance of COVID-19 vaccination was low in pregnant women. Urgent measures are needed to promote vaccination among pregnant women before the next wave of COVID-19.

Trend of viral load during the first, second, and third wave of COVID-19 in the Indian Himalayan region: an observational study of the Uttarakhand state.

India had faced three waves throughout the Coronavirus disease 2019 (COVID-19) pandemic, which had already impacted economic lives and affected the healthcare setting and infrastructure. The widespread impacts have inspired researchers to look for clinical indicators of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection prognosis. Cyclic threshold values have been used to correlate the viral load in COVID-19 patients and for viral transmission. In light of this correlation, a retrospective study was conducted to assess the trend of viral load in clinical and demographic profiles across the three waves. Data of a total of 11,125 COVID-19-positive patients were obtained, which had a Ct value of <35. We stratified Ct values as follows: under 25 (high viral load), 25-30 (moderate viral load), and over 30 (low viral load). We found a significantly high proportion of patients with high viral load during the second wave. A significantly high viral load across the symptomatic and vaccinated populations was found in all three waves, whereas a significantly high viral load across age groups was found only in the first wave. With the widespread availability of real-time PCR and the limited use of genomic surveillance, the Ct value and viral load could be a suitable tool for population-level monitoring and forecasting.

Impact of Sedation Practices on Mortality in COVID-19-Associated Adult Respiratory Distress Syndrome Patients: A Multicenter Retrospective Descriptive Study.

Background: Reduction in sedation exposure is an important metric in intensive care unit (ICU) patients. However, challenges arose during the coronavirus disease-2019 (COVID-19) pandemic in adhering to this practice, driven by concerns on transmission and disease severity issues. Accordingly, diverse sedation approaches emerged, although the effect on mortality has not been studied thoroughly. Methods: Retrospective cohort study in the medical ICU of seven hospitals within a major Health System in Northeast Ohio. We included all adult patients admitted with COVID-19 requiring invasive mechanical ventilation (IMV) from March 2020 to December 2021. Results: Study included 2394 COVID-19 patients requiring IMV. Across waves, sample included 55-63% male subjects, with an average age of 61-68 years (P < 0.001), Acute Physiologic and Chronic Health Evaluation (APACHE)-III score 65.8-68.9 (P = 0.37), median IMV duration 8-10 days (P = 0.14), and median ICU duration 9.8-11.6 days (P = 0.084). Propofol remained the primary sedative (84-92%; P = 0.089). Ketamine use increased from the first (9.7%) to fourth (19%) wave (P = 0.002). Midazolam use decreased from the first (27.4%) to third (9.4%) wave (P = 0.001). Dexmedetomidine use declined from 35% to 27-28% (P = 0.002) after the first wave. A multivariable regression analysis indicated clinical variables explained 34% of the variation in hospital mortality (R2). Factors associated with higher mortality included age [aOR = 1.059 (95% CI 1.049-1.069); P < 0.001], COVID-19 wave, especially fourth wave [aOR = 2.147, (95% CI 1.370-3.365); P = 0.001], and higher number of vasopressors [aOR = 31.636, (95% CI 17.603-56.856); P < 0.001]. Addition of sedative medications to a second model led to an increase in the R2 by only 1.6% to 35.6% [aOR = 1 (95% CI 1-1); P > 0.05] for propofol, ketamine, and midazolam. Dexmedetomidine demonstrated a decrease in the odds of mortality [aOR = 0.96 (95% CI 0.94-0.97); P < 0.001]. Conclusion: Mortality in critical COVID-19 patients was mostly driven by illness severity, and the choice of sedation might have minimal impact when other factors are controlled.

Characteristics, outcome, duration of hospitalization, and cycle threshold of patients with COVID-19 referred to four hospitals in Babol City: a multicenter retrospective observational study on the fourth, fifth, and sixth waves

BackgroundThe aim of the present study was to compare the epidemiological patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infections, hospitalizations, deaths, and duration of hospitalization during the fourth, fifth and sixth epidemic waves of coronavirus disease 2019 (COVID-19) in Iran.MethodsA multicenter retrospective observational study was conducted on hospitalized patients in four hospitals in the Babol district of northern Iran. The study periods were during the fourth, fifth, and sixth waves of the epidemic in Iran, (March 2021 to March 2022). A total of 13,312 patients with suspected COVID-19 were included. Patient demographics, medical history, length of hospital stay, and clinical outcomes were obtained from the hospital information system. Data on the cycle threshold (Ct) and SARS-CoV2 variant were collected for SARS-CoV2-positive cases.ResultsThe highest number of hospitalized patients was reported during the fifth (Delta) wave (5231; 39.3%), while the lowest number of hospitalized patients was reported during the sixth (Omicron) wave (2143; 16.1%). In total, 6459 (48.5%) out of 13,312 hospitalized patients with suspected COVID-19 had a positive rRT-PCR result. The fifth (Delta) wave had the highest number of SARS-CoV2 rRT-PCR-positive hospitalized patients (3573, 55.3%), while the sixth (Omicron) wave had the lowest number (835, 12.9%). Moreover, 238 (3.7%) patients with laboratory-confirmed COVID-19 died. The hospital mortality rate was 6.8% in the fourth (Alpha) wave, which reduced to 2.7 and 3.5% in the fifth (Delta) and sixth (Omicron) waves, respectively (p < 0.001).ConclusionsThis is the most comprehensive study evaluating the epidemiologic characteristics of laboratory-confirmed SARS-CoV2 cases in Iran during the Alpha, Delta, and Omicron waves. The highest number of SARS-CoV2-positive hospitalized patients was in the fifth wave of COVID-19 (dominance of the Delta variant), while the sixth wave (dominance of the Omicron variant) had the lowest number. Comorbidities were similar, and cardiovascular disease, diabetes, kidney disease, and hypertension were the main risk factors in all waves.

Anxiety and depression among patients with insomnia during the first wave and the release of the COVID-19 in Northeast China: A cross-sectional survey

BackgroundThe global coronavirus disease 2019 (COVID-19) pandemic seriously affected people's lives. We evaluated anxiety and depression among patients with insomnia in northeast China during the first wave and release of COVID-19, providing a basis for the clinical diagnosis and treatment of insomnia. MethodsWe enrolled 4211 patients with insomnia from January 2016 to February 2020, August 2020 to February 2022, August 2022 to December 2022, and January 2023 to February 2023, from our institution. Sleep quality was evaluated using the Athens Insomnia Scale, Insomnia Severity Index (ISI), and Pittsburgh sleep quality index (PSQI), while mood disorder and fatigue were evaluated using the Hhospital anxiety and depression scale (HAD), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder (GAD-7), and Fatigue Scale-14 (FS-14). ResultsInsomnia with depression increased in prevalence after COVID-19 compared with before (12.8 % vs. 15.3 %, P < 0.05), while the age of patients decreased [(50.2 ± 15.2) vs. (47.5 ± 16.8), P < 0.05]. The number of patients with insomnia and severe depression increased compared with before COVID-19 (20.3 % vs. 25.3 %, P < 0.05). A higher proportion of patients with insomnia for >2 years had depression (P < 0.05). As the epidemic subsided, insomnia increased among young and male patients (young patients: 55.2 % vs. 37.0 %; male patients: 41 % vs. 27.4 %, respectively; P < 0.05). The proportion of patients with insomnia with anxiety and depression increased (53.8 % vs. 51.8 %，P < 0.05), the proportion with moderate to severe anxiety increased (7.6 % vs. 13.5 %, P < 0.05), and moderate and severe depression decreased (moderate: 25.6 % vs. 19.1 %, severe: 25.8 % vs. 20.3 %, P < 0.05, respectively). Middle-aged and elderly patients had higher PQSI scores in sleep latency, habitual sleep efficiency, subjective sleep quality, and use of sleep medications than young patients (P < 0.05). The PSQI score was positively correlated with the PHQ-9 score (r = 0.526), GAD-7 score (r = 0.563), and FS-14 score (r = 0.316) (P < 0.05). LimitationsThe study was single-center, the sample size was small, and assessment data were lacking from early in the epidemic. The scale is subjective, which may affect the accuracy. ConclusionInsomnia with depression increased during COVID-19. The patients were younger than before the epidemic, and a higher proportion with insomnia for >2 years had depression. The proportion of patients with insomnia with anxiety and depression was higher after the epidemic period, and the degree worsened. The proportion of insomnia with depression decreased after the epidemic period, and the degree alleviated. The proportion of young male patients with insomnia increased. Middle aged and elderly patients with insomnia had poor sleep quality, which was positively correlated with anxiety, depression, and fatigue.

Professional Quality of Life and Psychological Impact on Frontline Healthcare Worker during the Fourth Wave of COVID-19

Aim. This research study aims to examine the professional quality of life (ProQOL) among healthcare workers (HCWs) in Pakistan during the fourth wave of COVID-19. Background. Under intense pressure to fight the coronavirus disease 2019 (COVID-19) pandemic, HCWs are more likely to experience psychological problems. Numerous investigations carried out in the past at various points during the pandemic have shown that COVID-19 has had important detrimental effects on HCWs. However, there are many unknowns with regard to ProQOL for HCWs. Methods. This is a cross-sectional study conducted with Pakistani HCWs who performed their duties during the fourth wave of COVID-19. Data were collected between January 1 and March 31, 2022. A total of 258 HCWs took part in the study evaluating ProQOL. The significance level was &lt;0.05. Results. Most respondents were males (79.1%), and 20.9% were females. The scores of secondary traumatic stress (STS), burnout (BO), and compassion satisfaction (CS) were 24.03 ± 3.79, 19.18 ± 2.92, and 35.29 ± 4.37, respectively. Compared with higher-income groups, HCWs with lower incomes were significantly (P&lt;0.001) more likely to experience psychological issues. Males had lower BO and STS than female HCWs (P&lt;0.001). Similarly, doctors had a lower STS than nurses (P&lt;0.05). HCWs who worked hours per day longer had a heavier STS (P&lt;0.001). Conclusion. This study shows low BO levels, moderate CS levels, and STS levels among HCWs. HCWs with lower salary were at a higher risk of mental distress due to the pandemic. HCWs who worked for long hours and had less income had more STS and BO. HCWs who were dissatisfied with their works had poor CS. Implications for Nursing Management. It is supposed that these results may help HCW managers to improve job satisfaction and rewards while reducing working hours and workload to improve the ProQOL of HCWs fighting COVID-19. The government should focus on the mental health of HCWs, enhancing their satisfaction and allocating sufficient resources.

The Impact of COVID-19 on Mental Health and Sleep Function of Hospital Staff Working With COVID-19 Patients: A Cross-Sectional Nationwide Study.

The coronavirus disease 2019 (COVID-19) pandemic has presented a globally challenging situation for human physical and mental health. Healthcare workers (HCWs) are affected by increased levels of anxiety, stress, and insomnia. This study aimed to evaluate the effect of COVID-19 on HCWs anxiety, stress, and insomnia levels. This cross-sectional study employed the Hospital Anxiety and Depression Scale, Perceived Stress Scale 10, and Insomnia Severity Index to assess anxiety, stress, and insomnia among HCWs at 10 COVID-19 isolation and treatment hospitals/centers after the first COVID-19 wave in Jordan. A web-based survey was used to collect data from 183 participants. Statistical analysis of factors affecting the mean scores of anxiety, stress, and insomnia was carried using student t-test or ANOVA while factors associated with differences in anxiety, stress, and insomnia frequencies were tested using Chi-square/Fisher exact test. Multivariate analysis was performed to determine the independent risk factors. Among participants, 97.3% reported moderate to severe levels of stress, 68% reported borderline to high abnormal levels of anxiety, and 32% had moderate to severe insomnia. The mean of anxiety total score was 9.8 ± 4.8, stress total score was 22.7 ± 4.5, and insomnia total score was 11.0 ± 7.1. Significant positive correlations were noted between anxiety, stress, and insomnia (P < .005). Female gender, migraine, less working years, increased time spent with patients, lower workforce, clinical insomnia and high stress were significant independent factors associated with anxiety (P < .05). Younger age, being single or divorced, heart disease, smoking, occupation (nurses), lower workforce, vaccination dose, and anxiety were significant independent factors associated with insomnia (P < .05). Increased time spent with patients, lower workforce, lower spouse and colleagues support, sadness due to isolation and anxiety were significant independent factors associated with stress. HCWs at COVID-19 centers had high levels of stress, anxiety, and insomnia. Appropriate interventions to maintain HCWs mental health are recommended.

Determinants for university students’ location data sharing with public institutions during COVID-19: The Italian case

Abstract Data on real-time individuals’ location may provide significant opportunities for managing emergency situations. For example, in the case of outbreaks, besides informing on the proximity of people, hence supporting contact tracing activities, location data can be used to understand spatial heterogeneity in virus transmission. However, individuals’ low consent to share their data, proved by the low penetration rate of contact tracing apps in several countries during the coronavirus disease-2019 (COVID-19) pandemic, re-opened the scientific and practitioners’ discussion on factors and conditions triggering citizens to share their positioning data. Following the Antecedents → Privacy Concerns → Outcomes (APCO) model, and based on Privacy Calculus and Reasoned Action Theories, the study investigates factors that cause university students to share their location data with public institutions during outbreaks. To this end, an explanatory survey was conducted in Italy during the second wave of COVID-19, collecting 245 questionnaire responses. Structural equations modeling was used to contemporary investigate the role of trust, perceived benefit, and perceived risk as determinants of the intention to share location data during outbreaks. Results show that respondents’ trust in public institutions, the perceived benefits, and the perceived risk are significant predictor of the intention to disclose personal tracking data with public institutions. Results indicate that the latter two factors impact university students’ willingness to share data more than trust, prompting public institutions to rethink how they launch and manage the adoption process for these technological applications.

COVID-19 Stroke Apical Lung Examination Study 2: a national prospective CTA biomarker study of the lung apices, in patients presenting with suspected acute stroke (COVID SALES 2)

BackgroundApical ground-glass opacification (GGO) identified on CT angiography (CTA) performed for suspected acute stroke was developed in 2020 as a coronavirus-disease-2019 (COVID-19) diagnostic and prognostic biomarker in a retrospective study during the first wave of COVID-19. ObjectiveTo prospectively validate whether GGO on CTA performed for suspected acute stroke is a reliable COVID-19 diagnostic and prognostic biomarker and whether it is reliable for COVID-19 vaccinated patients. MethodsIn this prospective, pragmatic, national, multi-center validation study performed at 13 sites, we captured study data consecutively in patients undergoing CTA for suspected acute stroke from January-March 2021. Demographic and clinical features associated with stroke and COVID-19 were incorporated. The primary outcome was the likelihood of reverse-transcriptase-polymerase-chain-reaction swab-test-confirmed COVID-19 using the GGO biomarker. Secondary outcomes investigated were functional status at discharge and survival analyses at 30 and 90 days. Univariate and multivariable statistical analyses were employed. ResultsCTAs from 1,111 patients were analyzed, with apical GGO identified in 8.5 % during a period of high COVID-19 prevalence. GGO showed good inter-rater reliability (Fleiss κ = 0.77); and high COVID-19 specificity (93.7 %, 91.8–95.2) and negative predictive value (NPV; 97.8 %, 96.5–98.6). In subgroup analysis of vaccinated patients, GGO remained a good diagnostic biomarker (specificity 93.1 %, 89.8–95.5; NPV 99.7 %, 98.3–100.0). Patients with COVID-19 were more likely to have higher stroke score (NIHSS (mean +/- SD) 6.9 +/- 6.9, COVID-19 negative, 9.7 +/- 9.0, COVID-19 positive; p = 0.01), carotid occlusions (6.2 % negative, 14.9 % positive; p = 0.02), and larger infarcts on presentation CT (ASPECTS 9.4 +/- 1.5, COVID-19 negative, 8.6 +/- 2.4, COVID-19 positive; p = 0.00). After multivariable logistic regression, GGO (odds ratio 15.7, 6.2–40.1), myalgia (8.9, 2.1–38.2) and higher core body temperature (1.9, 1.1–3.2) were independent COVID-19 predictors. GGO was associated with worse functional outcome on discharge and worse survival after univariate analysis. However, after adjustment for factors including stroke severity, GGO was not independently predictive of functional outcome or mortality. ConclusionApical GGO on CTA performed for patients with suspected acute stroke is a reliable diagnostic biomarker for COVID-19, which in combination with clinical features may be useful in COVID-19 triage.

Implementation and use of a national electronic dashboard to guide COVID-19 clinical management in Fiji

From April to September 2021, Fiji experienced a second wave of coronavirus disease (COVID-19) precipitated by the Delta variant of concern, prompting a need to strengthen existing data management of positive COVID-19 cases. With COVID-19 cases peaking at 1405 a day and many hospital admissions, the need to develop a better way to visualize data became clear. The Fiji Ministry of Health and Medical Services, the World Health Organization and the United Nations Office for the Coordination of Humanitarian Affairs collaborated to develop an online clinical dashboard to support better visualization of case management data. The dashboard was used across Fiji at national, divisional and local levels for COVID-19 management. At the national level, it provided real-time reports describing the surge pattern, severity and management of COVID-19 cases across the country during daily incident management team meetings. At the divisional level, it gave the divisional directors access to timely information about hospital and community isolation of cases. At the hospital level, the dashboard allowed managers to monitor trends in isolated cases and use of oxygen resources. The dashboard replaced previous paper-based reporting of statistics with delivery of trends and real-time data. The team that developed the tool were situated in different locations and did not meet physically, demonstrating the ease of implementing this online tool in a resource-constrained setting. The dashboard is easy to use and could be used in other Pacific island countries and areas.