Constructing a Learning Curve to Discuss the Medical Treatments and the Effect of Vaccination of COVID-19.

Acknowledging the extreme risk COVID-19 poses to humans, this paper attempted to analyze and compare case fatality rates, identify the existence of learning curves for COVID-19 medical treatments, and examine the impact of vaccination on fatality rate reduction. Confirmed cases and deaths were extracted from the "Daily Situation Report" provided by the World Health Organization. The results showed that low registration and low viral test rates resulted in low fatality rates, and the learning curve was significant for all countries except China. Treatment for COVID-19 can be improved through repeated experience. Vaccinations in the U.K. and U.S.A. are highly effective in reducing fatality rates, but not in other countries. The positive impact of vaccines may be attributed to higher vaccination rates. In addition to China, this study identified the existence of learning curves for the medical treatment of COVID-19 that can explain the effect of vaccination rates on fatalities.

Transmission of SARS-CoV-2 Omicron Variant under a Dynamic Clearance Strategy in Shandong, China.

SARS-CoV-2 Omicron caused a large wave of COVID-19 cases in China in spring 2022. Shandong was one of the most affected regions during this epidemic yet was also among those areas that were able to quickly contain the transmission. We aimed to investigate the origin, genetic diversity, and transmission patterns of the Omicron epidemic in Shandong under a dynamic clearance strategy. We generated 1,149 Omicron sequences, performed phylogenetic analysis, and interpreted results in the context of available epidemiological information. We observed that there were multiple introductions of distinct Omicron sublineages into Shandong from foreign countries and other regions in China, while a small number of introductions led to majority of local cases. We found evidence suggesting that some local clusters were potentially associated with foreign imported cases. Superspreading events and cryptic transmissions contributed to the rapid spread of this epidemic. We identified a BA.1.1 genome with the R493Q reversion mutation in the spike receptor binding domain, potentially associated with an escape from vaccine and Omicron infection elicited neutralizing immunity. Our findings illustrated how the dynamic clearance strategy constrained this epidemic's size, duration, and geographical distribution. IMPORTANCE Starting in March 2022, the Omicron epidemic caused a large wave of COVID-19 cases in China. Shandong was one of the most affected regions during this epidemic but was also among those areas that were able to quickly contain the transmission. We investigated the origin, genetic diversity, and transmission patterns of Omicron epidemic in Shandong under a dynamic clearance strategy. We found that there were multiple introductions of distinct Omicron sublineages into Shandong from foreign countries and other regions in China, while a small number of introductions led to most local cases. We found evidence suggesting that some local clusters were associated with foreign imported cases. Superspreading events and cryptic transmissions contributed to the rapid spread of this epidemic. Our study illustrated the transmission patterns of Omicron epidemic in Shandong and provided a looking glass onto this epidemic in China.

Emotional disturbance and risk factors among COVID-19 confirmed cases in isolation hotels.

Patients with coronavirus disease 2019 (COVID-19) has been isolated in hospital-managed isolation hotels under a policy of the Taiwan government. Centrally isolation patients are more likely to experience psychological symptoms. The purpose of the study was to investigate emotional disturbance during their isolation period and then pinpoint the factors during their isolation period associated with the emotional disturbance. We retrospectively analysed the medical charts of the patients confined to a Banqiao isolation hotel between May 28 and July 3, 2021. The 5-item brief symptom rating scale (BSRS-5) was used to evaluate emotional disturbance levels. Descriptive and logistic regression was used for the data analysis. In total, 197 complete medical records were reviewed, and of these 84 (42.6%) showed emotional disturbance. The majority of them reported only minor disturbance (n = 49, 58.3%). After controlling for confounding factors, being satisfied about medical information was the only protective factor associated with emotional disturbance (OR = 0.2, P = 0.018). Being a male patient (OR = 3.0, P = 0.005), worrying about stigmatization (OR = 2.2, P = 0.041) and being unable to contact family members (OR = 2.9, P = 0.018) increased the risk of experiencing emotional disturbance. Patients with clinical symptoms, namely sore throat (OR = 3.4, P = 0.013) and muscle aches (OR = 6.3, P = 0.005), were also found to be more likely to report emotional disturbance. Mental disturbance commonly occurs among patient with COVID-19 who are isolated in a hospital-managed hotel. Being a male patient, having symptoms, namely a sore throat and muscle pain, being unable to contact family and/or a failure to receive sufficient medical information were found to be associated with emotional disturbance. In order to help isolated patients, government officials should provide a clear rationale for isolation and recognize the patients' efforts to follow the government's policy, which will help to minimize social stigma.

Will the economic growth benefit public health? Health vulnerability, urbanization and COVID-19 in the USA.

Economic growth has a significant impact on health vulnerability primarily through the process of urbanization. This paper conducts a pioneer study by analyzing the impact of regional economic growth and urbanization on the public health vulnerability in the 51 states and territories of the USA from 2011 to 2018 with a fixed-effect panel data regression model. We construct an epidemiological vulnerability index (EVI) using regional smoking, diabetes, obesity, and hypertension, collect CDC social vulnerability index (SVI) as state-level public health vulnerability status, and use COVID-19 to test the actual effect of health vulnerability. The preliminary results show that higher regional economic growth is related to lower EVI and SVI, while urbanization is positively associated with regional health vulnerability and the severity of COVID-19 from case rate and death rate. Robustness check with unemployment shows the same result. We conclude that economic growth is related to lower public health vulnerability, and urbanization has negative public health benefits. Our finding indicates an urgent need to balance the externalities generated by economic development and urbanization trends on public health vulnerability by promoting reasonable medical resource distribution, health practices and safety, improving social and environmental justice, and other health management measures. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00168-021-01103-9.

Hospital transfer risk prediction for COVID-19 patients from a medicalized hotel based on Diffusion GraphSAGE (preprint)

The global COVID-19 pandemic has caused more than six million deaths worldwide. Medicalized hotels were established in Taiwan as quarantine facilities for COVID-19 patients with no or mild symptoms. Due to limited medical care available at these hotels, it is of paramount importance to identify patients at risk of clinical deterioration. This study aimed to develop and evaluate a graph-based deep learning approach for progressive hospital transfer risk prediction in a medicalized hotel setting. Vital sign measurements were obtained for 632 patients and daily patient similarity graphs were constructed. Inductive graph convolutional network models were trained on top of the temporally integrated graphs to predict hospital transfer risk. The proposed models achieved AUC scores above 0.83 for hospital transfer risk prediction based on the measurements of past 1, 2, and 3 days, outperforming baseline machine learning methods. A post-hoc analysis on the constructed diffusion-based graph using Local Clustering Coefficient discovered a high-risk cluster with significantly older mean age, higher body temperature, lower SpO2, and shorter length of stay. Further time-to-hospital-transfer survival analysis also revealed a significant decrease in survival probability in the discovered high-risk cluster. The obtained results demonstrated promising predictability and interpretability of the proposed graph-based approach. This technique may help preemptively detect high-risk patients at community-based medical facilities similar to a medicalized hotel.

Humoral immunity and transcriptome differences of COVID-19 inactivated vacciane and protein subunit vaccine as third booster dose in human.

Under the background of the severe human health and world economic burden caused by COVID-19, the attenuation of vaccine protection efficacy, and the prevalence and immune escape of emerging variants of concern (VOCs), the third dose of booster immunization has been put on the agenda. Systems biology approaches can help us gain new perspectives on the characterization of immune responses and the identification of factors underlying vaccine-induced immune efficacy. We analyzed the antibody signature and transcriptional responses of participants vaccinated with COVID-19 inactivated vaccine and protein subunit vaccine as a third booster dose. The results from the antibody indicated that the third booster dose was effective, and that heterologous vaccination with the protein subunit vaccine as a booster dose induced stronger humoral immune responses than the homologous vaccination with inactivated vaccine, and might be more effective against VOCs. In transcriptomic analysis, protein subunit vaccine induced more differentially expressed genes that were significantly associated with many important innate immune pathways. Both the homologous and heterologous boosters could increase the effectiveness against COVID-19, and compared with the inactivated vaccine, the protein subunit vaccine, mediated a stronger humoral immune response and had a more significant correlation with the innate immune function module, which provided certain data support for the third booster immunization strategy.

Young hospital pharmacists' job stress and career prospects amidst the COVID-19 pandemic in China.

BACKGROUND: Coronavirus disease (COVID-19) pandemic posed a critical threat to public health in the past year and has not been fully controlled so far. The nature of front-line young hospital pharmacists' occupation puts them at an increased risk of contracting any contagious disease, including COVID-19. Recent survey indicated that hospital pharmacists in China are depressive, hostile amid the pandemic. AIM: The present investigation aims to understand the job stress among young hospital pharmacists during the outbreak of COVID-19 and to provide basic information for pharmacy managers to help young fellows to cope with job stress. METHOD: This study is adopting pharmacist job stress questionnaire as the key instrument of data collection through WJX App in mobile phone. Demographic information, career prospects and stress management proposals were obtained synchronously. Quantitative data were processed with SPSS. Significant differences were examined using analysis of variance and Chi-square analysis. RESULT: About 60% of 289 questionnaire respondents complained of job stress (178 respondents). According to the narrative description of the data, young pharmacists' gender, education background, hospital grade, and specific work post had no significant effect on job stress difference. However, young pharmacists in different age-groups and professional titles showed different job stress. Pharmacists at the age of 31-35 complained more stress than the others. Pharmacists with high professional title (deputy chief pharmacist) complained more stress than the others. About 65% of 289 respondents had long-term plan for their practice, although 61% of young pharmacists felt troubled or worried with their future. As for stress management proposal, almost all young pharmacists hoped to improve their professional identity via raising their wages. CONCLUSION: More than half of young pharmacists suffer from job stress amidst the COVID-19 pandemic in China, and various intervention measures should be taken to relieve the stress and finally improve their social identity.

Demographic, Virological Characteristics and Prognosis of Asymptomatic COVID-19 Patients in South China.

BACKGROUND: Asymptomatic transmission is a major concern for SARS-CoV-2 community spread; however, little information is available on demographic, virological characteristics and prognosis of asymptomatic cases. METHODS: All COVID-19 patients hospitalized in Guangdong Province from September 1, 2020 to February 28, 2021, were included and were divided into asymptomatic and symptomaticgroup. The source country of all patients, clinical laboratory test results, the genotype of virus and the time of SARS-CoV-2 RNA turning negative or hospitalization were confirmed. RESULTS: Total 233 patients from 57 different countries or regions were included, with 83 (35.6%) asymptomatic and 150 (64.4%) symptomatic patients. Asymptomatic cases were younger (P = 0.019), lower rate in comorbidities (P = 0.021) such as hypertension (P = 0.083) and chronic liver disease (P = 0.045), lower PCT (P = 0.021), DDI (P < 0.001) and ALT (P = 0.029), but higher WBC count (P = 0.002) and lymphocyte (P = 0.011) than symptomatic patients. As for SARS-CoV-2 subtypes, patients infected with B.1.1 (53.8%), B.1.351 (81.8%) and B.1.524 (60%) are mainly asymptomatic, while infected with B, B.1, B.1.1.63, B.1.1.7, B.1.36, B.1.36.1, B.1.36.16, B.1.5 and B.6 were inclined to be symptomatic. Patients infected with variant B.1.351 and B.1.524 spent longer time in SARS-CoV-2 RNA turn negative (26 days, P = 0.085; 41 days, P = 0.007) and hospitalization (28 days, P = 0.085; 43 days, P = 0.004). CONCLUSIONS: The asymptomatic cases are prone to develop in patients with younger age, less comorbidities andinfected with B.1.1 and B.1.524 variants. More attention should be paid for lineage B.1.524 because it can significantly prolong the SARS-CoV-2 RNA negative conversion time and hospitalization in infected cases.

Different impacts of cancer types on cancer screening during COVID-19 pandemic in Taiwan.

BACKGROUND: The COVID-19 pandemic has rapidly become a major challenge for global health care systems and affected other priorities such as the utilization of population-based cancer screening services. We sought to examine to what extent the COVID-19 pandemic has affected cancer screening utilization in Taiwan, even the use of inreach and outreach screening services for different types of cancer screening and different regions. METHODS: Using nationwide cervical, breast, colorectal and oral cancer screening data, the percentage changes in screening participants at inreach and outreach services were calculated and compared between January to April 2020 (COVID-19 pandemic) and January to April 2019. RESULTS: The average percentage change declined from 15% to 40% for cervical, breast, and colorectal cancer screening, with a nearly 50% decline in oral cancer screening. There was a greater preference for breast and colorectal cancer screening outreach services, which had greater accessibility and declined less than inreach services in most regions. The screening utilization varied in different regions, especially in eastern Taiwan where the less convenient transportation and lower risk of COVID-19 transmission had a positive change on four types of cancer screening outreach services. CONCLUSION: The COVID-19 pandemic may have had an effect not only in the utilization of different types of cancer screening but also in the preference between inreach and outreach services, and even in variations in screening services in different regions.

Incidence, Etiology, and Environmental Risk Factors of Community-Acquired Pneumonia Requiring Hospitalization in China: A 3-Year, Prospective, Age-Stratified, Multicenter Case-Control Study.

Background: Community-acquired pneumonia (CAP) is a leading infectious cause of hospitalization and death worldwide. Knowledge about the incidence and etiology of CAP in China is fragmented. Methods: A multicenter study performed at 4 hospitals in 4 regions in China and clinical samples from CAP patients were collected and used for pathogen identification from July 2016 to June 2019. Results: A total of 1674 patients were enrolled and the average annual incidence of hospitalized CAP was 18.7 (95% confidence interval, 18.5-19.0) cases per 10000 people. The most common viral and bacterial agents found in patients were respiratory syncytial virus (19.2%) and Streptococcus pneumoniae (9.3%). The coinfections percentage was 13.8%. Pathogen distribution displayed variations within age groups as well as seasonal and regional differences. The severe acute respiratory syndrome coronavirus 2 was not detected. Respiratory virus detection was significantly positively correlated with air pollutants (including particulate matter ≤2.5 µm, particulate matter ≤10 µm, nitrogen dioxide, and sulfur dioxide) and significantly negatively correlated with ambient temperature and ozone content; bacteria detection was opposite. Conclusions: The hospitalized CAP incidence in China was higher than previously known. CAP etiology showed that differences in age, seasons, regions, and respiratory viruses were detected at a higher rate than bacterial infection overall. Air pollutants and temperature have an influence on the detection of pathogens.

E-Learning and Online Instructions of Higher Education during the 2019 Novel Coronavirus Diseases (COVID-19) Epidemic

E-learning and online instructions of higher education play a key role in no suspension of learning and no suspension of teaching during the 2019 Novel Coronavirus Diseases (COVID-19) Epidemic. This study summarizes the responses from online instructors and analyzes the difficulties and solutions of the online learning and instructions. The results indicate that although most instructors try to prepare the contents of instructions well, however, it is still not an easy way to monitor and change the students’ learning behaviors in such a short term. We outline implications for practice and ideas for future research. The results could be used to serve as a benchmark for comparing levels of online learning and identify the main difficulties of online instructors during the outbreak circumstances of the COVID-19.

Hospitalization Costs of COVID-19 Cases and Their Associated Factors in Guangdong, China: A Cross-Sectional Study.

Background: The ongoing COVID-19 pandemic has brought significant challenges to health system and consumed a lot of health resources. However, evidence on the hospitalization costs and their associated factors in COVID-19 cases is scarce. Objectives: To describe the total and components of hospitalization costs of COVID-19 cases, and investigate the associated factors of costs. Methods: We included 876 confirmed COVID-19 cases admitted to 33 designated hospitals from January 15th to April 27th, 2020 in Guangdong, China, and collected their demographic and clinical information. A multiple linear regression model was performed to estimate the associations of hospitalization costs with potential associated factors. Results: The median of total hospitalization costs of COVID-19 cases was $2,869.4 (IQR: $3,916.8). We found higher total costs in male (% difference: 29.7, 95% CI: 15.5, 45.6) than in female cases, in older cases than in younger ones, in severe cases (% difference: 344.8, 95% CI: 222.5, 513.6) than in mild ones, in cases with clinical aggravation than those without, in cases with clinical symptoms (% difference: 47.7, 95% CI: 26.2, 72.9) than those without, and in cases with comorbidities (% difference: 21.1%, 21.1, 95% CI: 4.4, 40.6) than those without. We also found lower non-pharmacologic therapy costs in cases treated with traditional Chinese medicine (TCM) therapy (% difference: -47.4, 95% CI: -64.5 to -22.0) than cases without. Conclusion: The hospitalization costs of COVID-19 cases in Guangdong were comparable to the national level. Factors associated with higher hospitalization costs included sex, older age, clinical severity and aggravation, clinical symptoms and comorbidities at admission. TCM therapy was found to be associated with lower costs for some non-pharmacologic therapies.