Prevalence Of Coronavirus Disease 2019 Research Articles

A propensity score matched analysis of COVID-19 ongoing symptoms in primary medical staff members with different levels of stress in Jiangsu Province, China

ObjectiveOngoing symptoms which originated from coronavirus disease 2019 (COVID-19) infections threaten the health of a broad population of patients. With recent changes in COVID-19 control measures in China, medical staff members are currently experiencing a high level of stress. This study aimed to investigate the prevalence of ongoing symptomatic COVID-19 and explore the potential association between stress and ongoing COVID symptoms. MethodsFrom January 17th to February 2, 2023, primary medical staff members in Jiangsu Province were surveyed using a self-designed questionnaire. Univariate multinomial logistic analysis was used to illustrate the relationship between stress and ongoing symptoms after matching the low- and high-stress groups in a 1:1 ratio based on propensity scores. ResultsAnalysis revealed that 14.83 % (3785/25,516) of primary medical staff members infected with COVID-19 experienced ongoing symptoms, the most common of which included cough (9.51 %), dyspnea (9.51 %), sleep problems (4.40 %), anxiety (2.29 %), and reproductive system symptoms (1.89 %). In matched patients, higher stress levels were associated with a greater risk of ongoing symptoms than in patients without ongoing symptoms for 14 of the 15 reported symptoms in this study (odds ratios [ORs] > 1 and P < 0.05). Moreover, higher levels of stress were associated with a greater risk of more ongoing symptoms, and the overall ORs increased with the number of symptoms (ORs >1 and P < 0.05). ConclusionTo mitigate the possibility of experiencing ongoing symptoms, healthcare organizations and local authority agencies should institute helpful measures to decrease stress levels such as medical staff augmentation and enabling all staff to have a reasonable work-life balance.

Relationship of various COVID-19 antibody titer with individual characteristics and prediction of future epidemic trend in Xiamen City, China.

Reinfection of coronavirus disease 2019 (COVID-19) has raised concerns about how reliable immunity from infection and vaccination is. With mass testing for the virus halted, understanding the current prevalence of COVID-19 is crucial. This study investigated 1,191 public health workers at the Xiamen Center for Disease Control, focusing on changes in antibody titers and their relationship with individual characteristics. The study began by describing the epidemiological characteristics of the study participants. Multilinear regression (MLR) models were employed to explore the associations between individual attributes and antibody titers. Additionally, group-based trajectory models (GBTMs) were utilized to identify trajectories in antibody titer changes. To predict and simulate future epidemic trends and examine the correlation of antibody decay with epidemics, a high-dimensional transmission dynamics model was constructed. Analysis of epidemiological characteristics revealed significant differences in vaccination status between infected and non-infected groups (χ2=376.706, P<0.05). However, the distribution of antibody titers among the infected and vaccinated populations was not significantly different. The MLR model identified age as a common factor affecting titers of immunoglobulin G (IgG), immunoglobulin M (IgM), and neutralizing antibody (NAb), while other factors showed varying impacts. History of pulmonary disease and hospitalization influenced IgG titer, and factors such as gender, smoking, family history of pulmonary diseases, and hospitalization impacted NAb titers. Age was the sole determinant of IgM titers in this study. GBTM analysis indicated a "gradual decline type" trajectory for IgG (95.65%), while IgM and NAb titers remained stable over the study period. The high-dimensional transmission dynamics model predicted and simulated peak epidemic periods in Xiamen City, which correlated with IgG decay. Age-group-specific simulations revealed a higher incidence and infection rate among individuals aged 30-39 years during both the second and third peaks, followed by those aged 40-49, 50-59, 18-29, and 70-79 years. Our study shows that antibody titer could be influenced by age, previous pulmonary diseases as well as smoking. Furthermore, the decline in IgG titers is consistent with epidemic trends. These findings emphasize the need for further exploration of these factors and the development of optimized self-protection countermeasures against reinfection.

The Prevalence and Vaccination Coverage Rates of COVID-19 in Asia: A Cross-sectional Study after Four Years

Asia is the largest and most populous continent and is divided into five regions: Eastern Asia, South-eastern Asia, Central Asia, Southern Asia, and Western Asia. Understanding the pattern of the coronavirus disease 2019 (COVID-19) prevalence in Asia could help researchers and decision-makers learn how to respond to public health emergencies more effectively. By the end of 2023, it would have been nearly four years since the first cases of COVID-19 were detected. In this article, COVID-19 data, including the vaccination coverage rate, were used to examine the COVID-19 prevalence across Asia by the end of 2023 based on income and geographic division. Data on COVID-19, including the vaccination coverage rates, for various Asian countries were collected from reliable, publicly available websites. Then, COVID-19 data were analyzed based on income and geographic division. An analysis of variance (ANOVA) test and an Independent Samples t-test were also performed to assess the variation of the means of COVID-19 data across the continent. As of January 1, 2024, COVID-19 data across Asia's five regions were inconsistent. West Asia was most affected, with the highest cases and deaths per million and most tests performed per population. Eastern Asia had the lowest deaths per million, tests per population, and case-fatality rates (CFRs). The COVID-19 vaccination rates range between 2.39% and 105.7%, while the booster vaccination rates varied from 0% in Kyrgyzstan and Laos to 141.7% in Japan. The ANOVA test showed significant variance in the mean, median age, mean vaccination coverage rates, and mean booster vaccination rates, where Eastern Asia had higher averages than the other parts. The independent t-test revealed significant differences in COVID-19 data means, except for CFRs, where low- and lower-middle-income countries had lower averages than upper-middle and high-income countries. Inconsistent COVID-19 data, including vaccination coverage, across Asia highlights the need for uniform standards in case identification and diagnosis, ensuring equitable vaccine distribution, and providing essential diagnostic resources to all countries for future emergencies.

Coronavirus Disease 2019 Infection in Cervical Artery Dissections.

Most cervical artery dissection (CeAD) cases are spontaneous or due to minor traumas, and preceding viral infections have been suggested to be a triggering event for CeAD in some. Herein, we analyze the prevalence of coronavirus disease 2019 (COVID-19) in hospitalized patients with CeAD using a national database. The National Inpatient Sample was queried from April 2020 to December 2020 for patients with a diagnosis of CeAD using International Classification of Diseases, 10th edition-Clinical Modification codes. Among these, patients with COVID-19 were identified. Multivariable logistic regression was conducted to assess the patient profile of those with COVID-19, in-patient mortality, and home discharge among patients with CeAD. There were 360 (2.32%) hospitalizations involving COVID-19 among 15,500 with CeAD. Concomitant acute ischemic stroke constituted 43.06% of those with a COVID-19 diagnosis, whereas it was 43.73% among those without a COVID-19 diagnosis (P = 0.902). Home discharges were less common in patients with COVID-19 and CeAD compared to CeAD alone (34.85% vs. 48.63%; P = 0.03), but this was likely due to other factors as multivariate regression analysis did not show an association between COVID-19 and home discharges (odds ratio: 0.69; 95% CI: 0.39 to 1.25; P = 0.22). COVID-19 diagnosis had similar odds of inpatient mortality (odds ratio: 1.11; 95% CI: 0.43 to 2.84; P = 0.84). The prevalence of COVID-19 among hospitalized patients with CeAD is low with 2.32% of all CeAD cases. Concomitant COVID infection did not lead to an increased risk of stroke in CeAD. However, potentially worse functional outcomes (fewer home discharges) without an increase in mortality were seen in patients with COVID and CeAD.

Severity of COVID-19 manifestations in HIV patients: a systematic review and meta-analysis.

The incidence of coronavirus disease 2019 (COVID-19) pandemic among people living with HIV (PLWH) is experiencing major increases. This demographic is vulnerable due to compromised immune function, but the individuals are subjected to antiretroviral therapy (ART), which shows potential as a treatment for the pandemic. Therefore, this study aimed to investigate the severity of various forms of COVID-19 in PLWH as opposed to the general population. The study followed PRISMA guidelines and included a systematic review of literature from Pubmed, Science Direct, and Cochrane Library, comprising English-language articles from 2019 to 2022. This study included articles discussing HIV and COVID-19 case prevalence data by severity. A random effect model was used to demonstrate the pooled prevalence of COVID-19 among PLWH, as well as the prevalence of moderate and critical severity of COVID-19 among PLWH. The Joanna Briggs Institute checklist was used to assess the quality of studies. This study is registered in INPLASY No. INPLASY2023100063. Out of a total of 1,965 articles relevant to the specified keyword combination, 13 articles conformed with inclusion and exclusion criteria. For HIV and non-HIV COVID-19 patients, the mean age was 52.98 ± 6.45 years and 55.84 ± 9.73 years, respectively. Approximately 73% of HIV COVID-19 patients were male. Symptoms among PLWH included fever (57%), cough (48.9%), and shortness of breath (37%). The pooled prevalence of COVID-19 among PLWH was 3.0% (95% CI, 1.0 - 8.5%), with critical, moderate, and mild severity in 4.8% (95% CI, 1.6 - 13.3%), 24.4% (95% CI, 1.9 - 29.8%), and 9.9% (95% CI, 1.9 - 38%), respectively. PLWHs and HIV-negative individuals showed comparable rates and intensity of COVID-19. ART users exhibited immunological health comparable to immunocompetent people, demonstrating the essential role of ART in reducing the severity and mortality of PLWH with COVID-19.

Comprehensive analysis of the potential pathogenesis of COVID-19 infection and liver cancer.

A growing number of clinical examples suggest that coronavirus disease 2019 (COVID-19) appears to have an impact on the treatment of patients with liver cancer compared to the normal population, and the prevalence of COVID-19 is significantly higher in patients with liver cancer. However, this mechanism of action has not been clarified. To investigate the disease relevance of COVID-19 in liver cancer. Gene sets for COVID-19 (GSE180226) and liver cancer (GSE87630) were obtained from the Gene Expression Omnibus database. After identifying the common differentially expressed genes (DEGs) of COVID-19 and liver cancer, functional enrichment analysis, protein-protein interaction network construction and screening and analysis of hub genes were performed. Subsequently, the validation of the differential expression of hub genes in the disease was performed and the regulatory network of transcription factors and hub genes was constructed. Of 518 common DEGs were obtained by screening for functional analysis. Fifteen hub genes including aurora kinase B, cyclin B2, cell division cycle 20, cell division cycle associated 8, nucleolar and spindle associated protein 1, etc., were further identified from DEGs using the "cytoHubba" plugin. Functional enrichment analysis of hub genes showed that these hub genes are associated with P53 signalling pathway regulation, cell cycle and other functions, and they may serve as potential molecular markers for COVID-19 and liver cancer. Finally, we selected 10 of the hub genes for in vitro expression validation in liver cancer cells. Our study reveals a common pathogenesis of liver cancer and COVID-19. These common pathways and key genes may provide new ideas for further mechanistic studies.

Prevalence of Coronavirus Disease 2019 and its Impact on Public Mental Health in Rural versus Urban Population of Sindh, Pakistan: A Descriptive Cross-sectional Study

Abstract Background: The pandemic of coronavirus disease 2019 (COVID-19) is an immense public mental health threat. Asia has a great mix of rural and urban populations which differ in health-care facilities. Its virulence is escalating the psychological impact but its epidemiological dynamics are still needed to be explored. Therefore, we explored the prevalence of COVID-19 and its impact on public mental health in rural versus urban adults aged 18–65 years in the province of Sindh, Pakistan. Materials and Methods: A cross-sectional survey was conducted in Sindh, Pakistan, from April to July 2021. Stratified random sampling was used for 1494 respondents. Seven rural and urban districts were chosen. After informed consent, information on demographics, depression, and anxiety was collected through structured questionnaires. Statistical analyses were performed by SPSS version 26 with mean ± standard deviation for continuous and frequency (percentages) for categorical variables. t-test and Chi-square test were applied at P ≤ 0.05. Results: The prevalence of COVID-19 was found to be 20.9% in Sindh, Pakistan. Among 1494 respondents, the rural–urban distribution was 757 (50.7%) and 737 (49.3%) with females on the slightly higher side (774 [51.9%]). There was a statistically significant difference in age, household members, earning members, gender, marital status, and occupation. Prevalence of depression and anxiety was 42.2% and 85.5%, respectively. Both were statistically significant for rural–urban populations with P &lt; 0.001 for depression and P = 0.003 for anxiety. Conclusion: The study showed a significant difference in the public mental health of the equitable rural versus urban population of Sindh, Pakistan, during the COVID-19 pandemic, which requires strategies by policymakers.

Post-COVID-19 Menstrual Abnormalities among Medical Students at a Tertiary Care Medical College in Southern India: A Cross-sectional Study

Introduction: The emergence of Coronavirus Disease-2019 (COVID-19) caught the world by surprise, leading to a widespread global pandemic that has had profound and distressing effects on various levels. Its impact has been far-reaching, causing severe consequences that continue to unfold. COVID-19 is a multisystem inflammatory disease involving all organs, including the female reproductive system. Aim: To determine the prevalence of COVID-19 among students and compare post-COVID-19 menstrual abnormalities in the home and hospital groups. Materials and Methods: A cross-sectional study was conducted to assess post-COVID-19 menstrual abnormalities among medical students at Department of Obstetrics and Gynaecology, NRI Institute of Medical Sciences, Visakhapatnam, Andhra Pradesh, in southern India from April to December 2022. A total of 600 medical students were approached, and 549 responded, among whom 258 students were reported as COVID-19 positive and 291 reported as COVID-19 negative. After excluding risk factors, 204 COVID-19 positive students were selected as the study population. Data were collected using a prevalidated questionnaire. The COVID-19 study population of 204 (100%) was further stratified into two groups based on the treatment taken at home 162 (79.4%) or in the hospital 42 (20.5%). Chi-square test and Fisher’s-exact tests were used to compare post-COVID-19 menstrual abnormalities, including cycle length abnormalities, Heavy Menstrual Bleeding (HMB), dysmenorrhoea, Premenstrual Syndrome (PMS), and hypomenorrhoea. Results: The prevalence of COVID-19 in the study population was 204, accounting for 37.15% of the total population 204/549. Out of the 204 students, 162 (79.4%) received home treatment, and 42 (20.5%) received hospital treatment. PostCOVID-19 menstrual cycle abnormalities were more prevalent in the hospital group 26/42 (61.9%) than in the home treatment group 76/162 (46.9%). The most common abnormality in both groups was PMS, with a prevalence of 21 (50%) in the hospital group and 38 (23.4%) in the home group. In the home group, 37 (22.8%) experienced longer cycles, 33 (20.3%) had dysmenorrhoea, and 19 (11.7%) had shorter cycles. In the hospital group, 14 (33.3%) had longer cycles, 13 (30.9%) experienced dysmenorrhoea, and 9 (21.4%) had shorter cycles. HMB was reported by 6 (14.2%) in the hospital group and 13 (8%) in the home group, while hypomenorrhoea occurred in 11 (6.7%) in the home group and 5 (11.9%) in the hospital group. A significant association (p=0.001) was found between the COVID-19 treatment groups and PMS. However, for other post-COVID-19 menstrual abnormalities, such as cycle length, dysmenorrhoea, HMB, and hypomenorrhoea, there was no significant association between these abnormalities and COVID-19 treatment groups. Conclusion: Post-COVID-19 menstrual abnormalities were more frequently observed in the hospital group compared to the home group. All post-COVID-19 menstrual irregularities resolved within six months, except for PMS.

Examining Mental Health and Economic Consequences During the COVID-19 Pandemic Among Filipino Residents in Hawai‘i: May – Oct 2020

The coronavirus disease 2019 (COVID-19) pandemic has resulted in rapid and drastic changes to daily lives, posing a threat to residents’ mental health and well-being. Filipinos are disproportionately impacted by COVID-19 and have one of the highest COVID-19 prevalence in Hawai‘i. The COVID-19 pandemic has been associated with a rise in mental health concerns, yet little is known about the impact on the mental health of Filipinos in Hawai‘i. Using publicly available polling data from the SMS Community Pulse Survey, this study sought to describe the mental distress experienced by Filipino residents during the COVID-19 pandemic. Data were collected from an online panel of Hawai‘i residents over 4 timepoints (May 5-10; June 11-17; July 31-August 8; October 19-31, 2020). Compared to non-Filipinos, a higher proportion of Filipinos reported feeling stress and sadness during 3 of the 4 timepoints. Across all timepoints, Filipinos were more likely to respond affirmatively to mental health indicators (62.5%). Similarly, Filipinos reported food insecurity in higher proportions relative to non-Filipinos in most timepoints, particularly notable in Timepoint 4 where 33.0% of Filipino respondents reported food insecurity. These findings suggest that Filipinos would benefit from social policy and community-supported initiatives to address social determinants of health, reduce chronic stress, and prevent further mental health disparities

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.

COVID-stasis of Pregnancy: An Increased Prevalence of COVID-19 in Patients with Cholestasis.

To evaluate the relationship between intrahepatic cholestasis of pregnancy (ICP) and coronavirus disease 2019 (COVID-19). We performed a retrospective cohort study of pregnant women undergoing induction of labor (IOL) at a single institution between May 2020 to January 2021. Primary exposure was diagnosis of intrahepatic cholestasis of pregnancy (ICP). The primary outcome was the prevalence of COVID-19 as determined by reverse-transcriptase polymerase chain reaction testing on nasopharyngeal swabs for SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) on routine admission testing. Secondary outcomes were abnormal laboratory values and adverse fetal outcomes. Logistic regression with log link analysis was performed comparing patients undergoing IOL for ICP compared with IOL for all other indications. The moderating effect of ethnicity was assessed by the interaction between ethnicity and ICP in a logistic regression model. The Wilcoxon rank-sum test and Fisher's exact test were performed for the secondary outcome analyses. Over the course of the study, 596 patients underwent IOL: 24 for ICP and 572 for other indications. The overall prevalence of COVID-19 positivity in the cohort was 5.5% (33 of 596). Those with ICP were more likely to test positive for COVID-19 compared with those with other IOL indications (29.2 vs. 4.5%, RR = 6.4, 95% CI: 2.8-12.5, p < 0.001). All patients with ICP who tested positive for COVID-19 were Hispanic. To analyze the moderating effect of ethnicity, the results of the logistic model found the interaction between ethnicity and ICP to not be significant (p = 0.991). In patients with ICP, the median AST (aspartate aminotransferase) was higher than those with COVID-19 (p = 0.0182). There were no adverse fetal outcomes in the ICP group. In this single-site retrospective cohort study, we demonstrated an increased prevalence of COVID-19 in those with ICP in general and among Hispanic patients specifically. Despite this difference, there was no increased risk of adverse fetal outcomes. · There is an increased prevalence of COVID-19 among Hispanic patients with ICP.. · The median AST of COVID-19-positive patients was significantly higher than COVID-19-negative patients.. · There was no increased risk of adverse fetal outcomes in with COVID-19 and ICP..

Monitoring of over-the-counter (OTC) and COVID-19 treatment drugs complement wastewater surveillance of SARS-CoV-2.

The application of wastewater-based epidemiology to track the outbreak and prevalence of coronavirus disease (COVID-19) in communities has been tested and validated by several researchers across the globe. However, the RNA-based surveillance has its inherent limitations and uncertainties. This study aims to complement the ongoing wastewater surveillance efforts by analyzing other chemical biomarkers in wastewater to help assess community response (hospitalization and treatment) during the pandemic (2020-2021). Wastewater samples (n = 183) were collected from the largest wastewater treatment facility in Suffolk County, NY, USA and analyzed for COVID-19 treatment drugs (remdesivir, chloroquine, and hydroxychloroquine (HCQ)) and their human metabolites. We additionally monitored 26 pharmaceuticals including common over-the-counter (OTC) drugs. Lastly, we developed a Bayesian model that uses viral RNA, COVID-19 treatment drugs, and pharmaceuticals data to predict the confirmed COVID-19 cases within the catchment area. The viral RNA levels in wastewater tracked the actual COVID-19 case numbers well as expected. COVID-19 treatment drugs were detected with varying frequency (9-100%) partly due to their instability in wastewater. We observed a significant correlation (R = 0.30, p < 0.01) between the SARS-CoV-2 genes and desethylhydroxychloroquine (DHCQ, metabolite of HCQ). Remdesivir levels peaked immediately after the Emergency Use Authorization approved by the FDA. Although, 13 out of 26 pharmaceuticals assessed were consistently detected (DF = 100%, n = 111), only acetaminophen was significantly correlated with viral loads, especially when the Omicron variant was dominant. The Bayesian models were capable of reproducing the temporal trend of the confirmed cases. In this study, for the first time, we measured COVID-19 treatment and pharmaceutical drugs and their metabolites in wastewater to complement ongoing COVID-19 viral RNA surveillance efforts. Our results highlighted that, although the COVID-19 treatment drugs were not very stable in wastewater, their detection matched with usage trends in the community. Acetaminophen, an OTC drug, was significantly correlated with viral loads and confirmed cases, especially when the Omicron variant was dominant. A Bayesian model was developed which could predict COVID-19 cases more accurately when incorporating other drugs data along with viral RNA levels in wastewater.

Clinical performance ofthe STANDARD M10 SARS-CoV-2 rapid RT-PCR assay in patients visiting an emergency department.

In emergency departments, rapid screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)was important for arranging limited isolation resources and patient care during the coronavirus disease 2019 (COVID-19)pandemic. STANDARD M10 SARS-CoV-2 (SD Biosensor) is a recently developed cartridge-based RT-PCRthat provides a turnaround time of 1 h, which is shorter than that for conventional RT-PCR.This study evaluated the clinical performance of STANDARD M10 in patients visiting an emergency department. From March to June 2022, two specimens were collected from patients visiting an emergency department. Each specimen comprised one nasopharyngeal and one oropharyngeal swab. Respective specimens underwent rapid RT-PCRusing STANDARD M10 and conventional RT-PCRusing Allplex SARS-CoV-2 (Seegene). When discordant results occurred, specimens undergoing the STANDARD M10 were retested with the Allplex to exclude specimen variations. Retest results replaced initial results of the Allplex. Clinical performance of STANDARD M10 was compared with Allplex. The study enrolled 1971 patients. COVID-19 prevalence was 6.2% based on the Allplex. Compared with the Allplex, overall agreement, positive percent agreement, and negative percent agreement of STANDARD M10 were 99.5% (95% CI: 99.1%-99.8%), 95.9% (95% CI: 90.8%-98.3%), and 99.8% (95% CI: 99.4%-99.9%), respectively. Nine discordant results were all positive on droplet digital PCR, except for one specimen that was positive with STANDARD M10. The STANDARD M10 showed reliable diagnostic performance for detecting SARS-CoV-2 from patients visiting in emergency departments and is a useful tool in emergency healthcare systems because of its easy-to-use cartridge-based assay and short resulting time for detecting SARS-CoV-2.

Effect of Ursodeoxycholic Acid on Preventing SARS-CoV-2 Infection in Patients With Liver Transplantation: a multicenter retrospective cohort study.

Immunosuppressed recipients of liver transplantation (LT) are more likely to develop coronavirus disease 2019 (COVID-19) and may have an increased risk of developing worse outcomes. To assess the effect of ursodeoxycholic acid (UDCA) on preventing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in LT recipients. Adult patients (aged ≥ 18 years) who underwent LT between January 1st, 2015, and December 31st, 2022, were included and categorized into two groups according to their use of UDCA. The prevalence and severity of COVID-19 among transplantation patients between the UDCA and non-UDCA groups were estimated and compared. Among the 897 LT patients who met the inclusion criteria, infection rate of SARS-CoV-2 was 78.4%, and the rate of severe illness was 5.1% from January 2022 to January 2023 in China. In the multivariate analysis, only UDCA treatment (P = 0.006) was found to be a protective factor against SARS-CoV-2 infection. After propensity score matching, the SARS-CoV-2 infection rate in the UDCA group was lower than that in the non-UDCA group (74.1% vs. 84.6%, P = 0.002). This rate was further reduced to 62.1% (P = 0.002) when the oral administration dose was greater than 15 mg/kg/d. There was no difference in the rates of severe COVID-19 illness, ICU admission, or ventilation rate or length of hospital stay with or without UDCA treatment (all P > 0.05). The use of UDCA in LT patients significantly reduced the SARS-CoV-2 infection rate and showed a dose-dependent protective effect.

Opening the Black Box of Virtual Education: Medical Students’ Learning and Study Strategies

Background: This study explains learning and study strategies in virtual education among medical students during the coronavirus disease 2019 (COVID-19) pandemic and analyzes its relationship with their academic performance. Methods: This cross-sectional study included 298 medical students in preclinical disciplines in the medical curriculum at Mashhad University of Medical Sciences (MUMS), Mashhad, Iran. The data were collected from students who completed the Learning and Study Strategies Inventory (LASSI) within 2 weeks, from the 10th of June 2021 to the 24th of June 2021. This questionnaire measures three variables related to skill, self-regulation, and will. The data were analyzed using independent t-test, correlation, analysis of variance (ANOVA), and Tukey post hoc tests by SPSS software (version 23). Results: The highest and lowest mean scores of the LASSI questionnaire were related to information processing (28.54 ± 4.10) and study aids (22.41 ± 4.07), respectively. Each scale’s possible score range was from 8 to 40 points. The results indicated significant statistical differences between different genders of students in anxiety, attitude, motivation, time management, and self-testing (P &lt; 0.05). In all areas of the LASSI, except self-testing and study aids, the students’ mean scores with a grade point average (GPA) - range of 0 to 20 - higher than 17.5 were significantly higher than those with GPAs lower than 14.85 and those with GPAs between 14.86 to 17.50 (P &lt; 0.05). Conclusions: Since learning and studying strategies contribute to student’s academic success and facilitate the learning process, they can be improved using educational involvement. Embedding learning and study strategies interventions in curriculum design and learning content could help promote academic performance.

Modeling risk factors of degree of severity of Coronavirus disease 2019 (COVID-19) infection in inpatient patients at Dr. M. Djamil Padang.

RSUP Dr. M. Djamil was one of the COVID referral hospitals that treats patients with degrees of severity ranging from mild to critical. The high prevalence of COVID-19 differs from the severity of which it is necessary to know the risk factors as a preventive measure to minimize the higher risk. This study aims to determine the factors associated with the severity of COVID-19 in inpatients at Dr. M. Djamil Hospital, Padang, Indonesia. A quantitative study with a cross-sectional design was conducted by reviewing the medical record data of COVID-19 inpatients from March 2020 to February 2021. Sampling using a simple random sampling technique with a total of 95 patients. The Prevalence Odds Ratio (POR) is a statistical measure used in epidemiology and medical research to assess the association between an exposure or risk factor and a particular outcome in a cross-sectional study. Based on research, there are 41 (43.2%) severe patients. There is a relationship between age with p-value 0.004 (POR 4.5; 95% CI; 1.48-12.1), cardiovascular disease with p-value 0.003 (POR 5.9; 95% CI 1.7-21.4), and respiratory disease with p-value 0.001 (POR 6.6; 95% CI; 2.1-20.8) against COVID-19 infection. Diabetes Mellitus is the confounding variable. Respiratory disease is the dominant factor associated with the severity of COVID-19. Respiratory disease has 6.6 POR or Prevalence Odds Ratio values which means that COVID-19 patients with respiratory disease 6.6 more severe than those who has not respiratory disease history. Age, cardiovascular, and respiratory diseases are associated with the severity of COVID-19 infection in patients at Dr. M. Djamil Hospital, Padang, Indonesia. It is highly recommended to increase health promotion regarding risk factors for the severity of COVID-19 to the community to avoid a more severe outcome.

Coronavirus Disease Knowledge and Attitudes of Nursing Students: A Cross-Sectional Study in Saudi Arabia

Background: The prevalence of coronavirus disease is increasing rapidly all over the world therefore, this study aimed to understand the knowledge and attitudes among the nursing students about the coronavirus disease. Methods: The design of our study was cross-sectional in the period from January to March, 2020. A survey was conducted by Survey Monkey, the questionnaire link had been shared with the students, according to the inclusion criteria (nursing students in the third and fourth year), the questionnaire included two parts: (i) demographic characteristics of the students and (ii) knowledge and attitudes regarding the coronavirus disease. The number of participants in the study, who completed the questionnaire, was 350. Results: The findings revealed that the average score for their knowledge is good, (13/17 points) reaching 79%. Total 77% students showed a negative attitude about the coronavirus disease and 79.7% students used the website of Ministry of Health for medical information. Conclusion: This study showed that nursing students had a good knowledge about the coronavirus disease and a negative attitude. The Ministry of Health website was instrumental in imparting knowledge to the students about coronavirus.

Prevalence of COVID-19 in End Stage Renal Disease Patients on Hemodialysis &amp; Dialysis Providers During SARs-Cov-19 spike in Pakistan.

The global pandemic of coronavirus disease 2019 (COVID-19) poses a significant threat to both hemodialysis staff and patients. However, the prevalence of COVID-19 among asymptomatic end-stage renal disease (ESRD) patients on chronic hemodialysis (MHD) and healthcare staff including nurses and technicians in dialysis unit remains uncertain. Given that hemodialysis patients and dialysis nurses are particularly prone in congregate settings, this research aimed to examine the prevalence of COVID-19 in two hemodialysis units at Jinnah Hospital, Lahore, Pakistan. This cross-sectional study involved the participation of 198 maintenance hemodialysis patients with end-stage renal disease (ESRD) and 83 dialysis staff members. These patients or staff members did not have any symptoms at the time of testing. Testing was conducted using qualitative reverse transcription-polymerase chain reaction (RT-PCR) on nasal &amp; pharyngeal swabs collected from June 18th to June 23rd, 2020. &#x0D; Out of the total participants, 45 out of 198 dialysis patients (22.7%) and 10 out of 83 dialysis staff members (12%) were found to be positive for COVID-19. The overall prevalence of COVID-19, combining patients and staff, was 19.5% (55 out of 281). The mortality rate among the infected patients was 6.6% (3 out of 45). To conclude, the findings of this study demonstrate a significant prevalence of SARS-CoV-2 among hemodialysis staff and patients in Lahore, Pakistan.

COVID-19 Concerns, Information Needs, andAdverse Mental Health Outcomes among U.S. Soldiers.

The coronavirus disease 2019 (COVID-19) pandemic disrupted U.S. Military operations and potentially compounded the risk for adverse mental health outcomes by layering unique occupational stress on top of general restrictions, fears, and concerns. The objective of the current study was to characterize the prevalence of COVID-19 concerns and information needs, demographic disparities in these outcomes, and the degree to which COVID-19 concerns and information needs were associated with heightened risk for adverse mental health outcomes among U.S. Army soldiers. Command-directed anonymous surveys were administered electronically to U.S. soldiers assigned to one of three regional commands in the Northwest United States, Europe, and Asia-Pacific Region. Surveys were administered in May to June 2020 to complete (time 1: n = 21,294) and again in December 2020 to January 2021 (time 2: n = 10,861). Only active duty or active reservists/national guard were eligible to participate. Members from other branches of service were also not eligible. Highly prevalent COVID-19 concerns included the inability to spend time with friends/family, social activities, and changing rules, regulations, and guidance related to COVID-19. Some information needs were endorsed by one quarter or more soldiers at both time points, including stress management/coping, travel, how to protect oneself, and maintaining mission readiness. COVID-19 concerns and information needs were most prevalent among non-White soldiers. Concerns and information needs did not decline overall between the assessments. Finally, COVID-19 concerns were associated with greater risk of multiple adverse mental health outcomes at both time points. COVID-19 concerns and information needs were prevalent and showed little evidence of decrement over the course of the first 6 months of the pandemic. COVID-19 concerns were consistently associated with adverse mental health outcomes. These data highlight two targets and potential demographic subgroups such that local leadership and Army medicine and public health enterprises can be better prepared to monitor and address to maintain force health and readiness in the face of possible future biomedical threats.

Period Prevalence of COVID-19 and Influenza Symptoms in 2022 Among Adults in Jazan, Saudi Arabia.

Seasonal influenza and the circulating new variants of coronavirus disease 2019 (COVID-19) were predicted to increase the risk of developing respiratory symptoms in 2022. The objective of this study was to estimate the period prevalence of respiratory symptoms associated with COVID-19 and influenza among adults in 2022. This cross-sectional study targeted adults in Jazan, Saudi Arabia. Data collection was performed in February 2023 and utilized an online approach. The assessment was performed via a self-administered questionnaire, which measured demographics, vaccination practices against COVID-19 and influenza, and the occurrence of respiratory symptoms in 2022. This study involved 625 participants, 65% of whom were women with a mean age of 23 years. Only 80 participants (13%) reported receiving the influenza vaccine in 2022. The most frequently reported symptoms were headache (55%), sore throat (43.7%), and fever (43%). Nearly 34% were diagnosed with influenza, 17% were diagnosed with COVID-19, and 8% reported coinfection of both diseases. Sixty-one percent reported the occurrence of symptoms more than once in 2022. The presence of a higher frequency of respiratory symptoms was associated with gender, age, social status, employment, asthma, and obesity (P < 0.05). A majority of the participants reported multiple occurrences of respiratory symptoms in 2022. The uptake of the influenza vaccine was low in the same year, suggesting a need for a targeted approach to enhance vaccination rates among vulnerable groups.