Using temporal heatmaps to identify worthwhile articles on immune checkpoint blockade for melanoma (ICBM) in Mainland China, Hong Kong, and Taiwan since 2000: A bibliometric analysis.

BACKGROUND: Melanoma is a life-threatening form of skin cancer. Due to its remarkable effectiveness, the immune checkpoint blockade is widely used to treat melanoma (ICBM). No research has been conducted on ICBM for identifying the most readable articles. A bibliometric analysis of 100 top-cited ICBM (T100ICBM) in recent decades is required to highlight articles worth reading. METHODS: Based on the Web of Science Core Collection, we summarized the articles on ICBM published in each year from 2000 to 2022, with first authors from Mainland China, Hong Kong, and Taiwan (CHT). Using the CJAL score, data extraction and visualization of the distribution of ICBM publications were conducted on 2718, and 100 top-cited articles, respectively. We used the temporal heatmap to identify the most readable articles. Four descriptive, diagnostic, predictive, and prescriptive analytics (called DDPP model) were applied to describe the features of T100ICBM articles. The absolute advantage coefficient was used to determine the dominance extent of the most influential region, institute, department, and author. RESULTS: A total of 2718 publications was included after removing first or corresponding authors who were not affiliated with CHT. Publications by year showed a sharp increase from 2014 onward and either peaked in 2022 or have not yet peaked. It was evident that there was a large difference between the number of publications in provinces/metropolitan cities/regions on CHT. Beijing, Sichuan University, Oncology, and Guo Jun from Beijing are the most prolific and influential region, institute, department, and author. When comparing research achievements to the next productive authors based on the CJAL score, only Dr Jun has a medium effect of dominance (=0.60). On the basis of their consecutive growth in citations over the past 4 years, 20 T100ICBM articles were recommended for readers. CONCLUSION: The field of ICBM is growing rapidly, and Beijing and Sichuan University are taking the lead in CHT. Furthermore, the study provides references for worth-reading articles using the temporal heatmap. Future research hot spots may focus on these 4 themes of immunotherapy, melanoma, metastatic melanoma, regulatory T cells, cells, and activation, which may pave the way for additional study.

Delivery of spike-RBD by bacterial type three secretion system for SARS-CoV-2 vaccine development.

COVID-19 pandemic continues to spread throughout the world with an urgent demand for a safe and protective vaccine to effectuate herd protection and control the spread of SARS-CoV-2. Here, we report the development of a bacterial vector COVID-19 vaccine (aPA-RBD) that carries the gene for the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein. Live-attenuated strains of Pseudomonas aeruginosa (aPA) were constructed which express the recombinant RBD and effectively deliver RBD protein into various antigen presenting cells through bacterial type 3 secretion system (T3SS) in vitro. In mice, two-dose of intranasal aPA-RBD vaccinations elicited the development of RBD-specific serum IgG and IgM. Importantly, the sera from the immunized mice were able to neutralize host cell infections by SARS-CoV-2 pseudovirus as well as the authentic virus variants potently. T-cell responses of immunized mice were assessed by enzyme-linked immunospot (ELISPOT) and intracellular cytokine staining (ICS) assays. aPA-RBD vaccinations can elicit RBD-specific CD4+and CD8+T cell responses. T3SS-based RBD intracellular delivery heightens the efficiency of antigen presentation and enables the aPA-RBD vaccine to elicit CD8+T cell response. Thus, aPA vector has the potential as an inexpensive, readily manufactured, and respiratory tract vaccination route vaccine platform for other pathogens.

Impact of Novel Coronavirus Pneumonia on Agricultural Products Prices: A Case Study of Chengdu

Ensuring the basic stability of supply and prices of agricultural products bears on people's wellbeing and contributes to social development and stability. However, the outbreak of COVID-19 and a series of rules and regulations confining socialization adopted to deal with the epidemic have led to the prominent contradiction between supply and demand in the agricultural market, and the sharp fluctuations in the prices of agricultural products. In this paper, the price data of agricultural products in the main urban area of Chengdu in the 10 weeks before and 20 weeks after the Spring Festival from 2018 to 2020 were used to empirically study the impact of COVID-19 on local agricultural product prices by generalized multiple difference method (DID). The empirical results show that, first, compared with the Spring Festival of 2018 and 2019, the COVID-19 epidemic in the Spring Festival of 2020 led to an average increase of 105.02% in the retail prices of agricultural products in Chengdu, among which the increase of livestock and poultry, fruits and vegetables, and aquatic products was the most obvious, while the change of grain and oil prices was not significant. Second, compared with the demand side, the COVID-19 pandemic has a major impact on agricultural prices from the supply side. Third, the impact of COVID-19 on the retail prices of agricultural products is more obvious in areas where the primary industry is relatively small and industrialization is fast. Fourth, in the short term, the government's policy of suppressing prices does not restrain all agricultural prices. The above research findings provide a reference for understanding the adjustment mechanism of agricultural prices under the impact of the epidemic, and for effectively formulating relevant policies to stabilize the price of agricultural products, ensure supply, and alleviate the pressure on people's livelihood.

Longitudinal Shifts in Movement Behaviors during the COVID-19 Pandemic: Relations to Posttraumatic Stress Disorder among University Students.

This study examined the longitudinal changes of movement behaviors and their relationships with posttraumatic stress disorder (PTSD) among university students during the coronavirus disease 2019 in China. A total of 569 university students completed online surveys twice (Time 1: between December 2020 and January 2021; Time 2: between November and December 2021). Physical activity, sedentary behavior, sleep duration and quality, as well as PTSD were self-reported. According to Canadian 24-h movement guidelines, the longitudinal shifts in each movement behavior from Time 1 to Time 2 were divided into four categories (consistently meeting the guidelines, from meeting to not meeting the guidelines, from not meeting to meeting the guidelines, and consistently not meeting the guidelines). Generalized linear mixed models were conducted using 410 valid responses (20.2 ± 1.0 years old at Time 2, 41.2% males). From Time 1 to Time 2, 22.2%, 2.0%, and 45.6% of the students consistently met the physical activity, sedentary behavior, and sleep guidelines, respectively. Compared to those who consistently met the sedentary behavior guideline, students who consistently failed to meet or changed from meeting to not meeting the guidelines had higher levels of PTSD. Students who had poor sleep quality at both time points or changed from good to bad sleep quality had higher levels of PTSD than those who maintained good sleep quality over time. Compared to those who consistently failed to meet the guideline, students who consistently met the PA guideline had higher levels of PTSD. These findings highlight the needs to improve and maintain healthy behaviors for mental health.

Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has been far more devastating than expected, showing no signs of slowing down at present. Heilongjiang Province is the most northeastern province of China, and has cold weather for nearly half a year and an annual temperature difference of more than 60ºC, which increases the underlying morbidity associated with pulmonary diseases, and thus leads to lung dysfunction. The demographic features and laboratory parameters of COVID-19 deceased patients in Heilongjiang Province, China with such climatic characteristics are still not clearly illustrated. AIM: To illustrate the demographic features and laboratory parameters of COVID-19 deceased patients in Heilongjiang Province by comparing with those of surviving severe and critically ill cases. METHODS: COVID-19 deceased patients from different hospitals in Heilongjiang Province were included in this retrospective study and compared their characteristics with those of surviving severe and critically ill cases in the COVID-19 treatment center of the First Affiliated Hospital of Harbin Medical University. The surviving patients were divided into severe group and critically ill group according to the Diagnosis and Treatment of New Coronavirus Pneumonia (the seventh edition). Demographic data were collected and recorded upon admission. Laboratory parameters were obtained from the medical records, and then compared among the groups. RESULTS: Twelve COVID-19 deceased patients, 27 severe cases and 26 critically ill cases were enrolled in this retrospective study. No differences in age, gender, and number of comorbidities between groups were found. Neutrophil percentage (NEUT%), platelet (PLT), C-reactive protein (CRP), creatine kinase isoenzyme (CK-MB), serum troponin I (TNI) and brain natriuretic peptides (BNP) showed significant differences among the groups (P = 0.020, P = 0.001, P < 0.001, P = 0.001, P < 0.001, P < 0.001, respectively). The increase of CRP, D-dimer and NEUT% levels, as well as the decrease of lymphocyte count (LYMPH) and PLT counts, showed significant correlation with death of COVID-19 patients (P = 0.023, P = 0.008, P = 0.045, P = 0.020, P = 0.015, respectively). CONCLUSION: Compared with surviving severe and critically ill cases, no special demographic features of COVID-19 deceased patients were observed, while some laboratory parameters including NEUT%, PLT, CRP, CK-MB, TNI and BNP showed significant differences. COVID-19 deceased patients had higher CRP, D-dimer and NEUT% levels and lower LYMPH and PLT counts.

Movement behaviors and posttraumatic stress disorder during the COVID-19 pandemic: A retrospective study of Chinese university students.

Background/objective: This study aimed to examine the associations between physical activity (PA), sedentary behavior, sleep and posttraumatic stress disorder (PTSD) among undergraduate students during the coronavirus disease 2019 (COVID-19) pandemic in China. Methods: A total of 3178 university students responded to an online questionnaire between December 2020 and January 2021. Participants self-reported the time they spent on PA, screen time and sleep after (over the past seven days) and during the outbreak peak (from January to March 2020). Their sleep quality was measured using the Chinese version of the Pittsburgh Sleep Quality Index. The Chinese version of the Posttraumatic Stress Disorder Checklist - Civilian Version was used to measure PTSD. Logistic regressions and generalized linear mixed models were conducted. Results: The final analysis included data from 2070 university students (20.2 ±â€¯1.3 years old, 37.0% males). The prevalence of PTSD was 7.1%. Better sleep quality both during and after the outbreak peak, and longer sleep duration after the outbreak peak were associated with a lower odds ratio of having PTSD and lower re-experiencing, avoidance and hyperarousal scores. Higher total PA levels during the outbreak peak were associated with a higher odds ratio of having PTSD and higher levels of re-experiencing and avoidance. Conclusion: Sleep quality and duration were negatively associated with PTSD among university students during the COVID-19 pandemic. The associations between PA, screen time and PTSD require further examination. Future interventions to enhance mental health could consider targeting university students' sleep hygiene.

Public Interest, Risk, Trust, and Personal Protective Equipment Purchase and Usage: Face Masks Amid the COVID-19 Pandemic.

This analysis considers public interest in COVID-19-related issues as well as individuals' risk perception and trust in society in their demand for face masks during the pandemic. Through a national survey, we examine demand during both the outbreak and the recovery stage of the pandemic and differentiate demand into purchasing and usage. The examination allows us to observe the evolvement of demand over time and stockpiling. We find that public interest and risk perception had a more significant association with mask demand during the outbreak stage, and trust was more connected with mask demand during the recovery stage. While stocking was evident in both stages, consumers were much less price sensitive in the outbreak stage. Overall, the relationship between most factors and mask demand was smaller in the recovery stage. Our research is useful for policymakers to assess the creation and termination of temporary legislation to help manage the value chain of personal protective equipment during a major public health crisis.

Movement behaviors and mental health of caregivers of preschoolers in China during the COVID-19 pandemic.

This study aimed to examine the associations between physical activity (PA), sedentary behavior (SB), sleep, and the mental health of caregivers of preschool children following the COVID-19 outbreak. From 5 October to 16 December 2020, responses from 2476 respondents in China were collated through an online survey or a written questionnaire. Movement behaviors (PA, SB, screen time, and sleep), mental health (depression, anxiety, and stress), and demographic information were self-reported by the respondents. Linear mixed models were used for data analysis. Valid responses were received from 2002 caregivers (35.5 ± 4.9 years old, 76.3% females) of children between 3 and 6 years old in China (Hong Kong 3.2%, Shanghai 20.6%, Guangzhou 34.1%, Guiyang 26.7%, Xuzhou 11.3%, Xi'an 4.1%). A higher level of PA was associated with a lower score of depression, while lower SB and longer sleep duration were associated with lower scores of depression, anxiety, and stress. Meeting the Canadian 24-h movement guidelines was associated with less symptoms of depression, anxiety, and stress. Higher PA was associated with lower levels of depression, while longer sleep and lower SB were associated with better scores of depression, anxiety, and stress. Meeting the Canadian 24-h movement guidelines has been associated with better mental health during the COVID-19 pandemic. Interventions to improve mental health among caregivers should involve enhancing their overall movement behaviors.

COVID-19 Risk Assessment for the Tokyo Olympic Games.

Introduction: As of June 7, 2021, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread to more than 200 countries. The global number of reported cases is more than 172.9 million, with more than 3.7 million deaths, and the number of infected individuals is still growing rapidly. Consequently, events and activities around the world were canceled or postponed, and the preparation for sporting events were greatly challenged. Under such circumstances, about 11,000 athletes from ~206 countries are arriving in Tokyo for the 32nd Summer Olympic Games. Therefore, it is urgently necessary to assess the occurrence and spread risk of COVID-19 for the Games. Objectives: To explore effective prevention and control measures for COVID-19 in large international events through simulations of different interventions according to risk assessment. Methods: We used a random model to calculate the number of initial infected patients and used Poisson distribution to determine the number of initial infected patients based on the number of countries involved. Furthermore, to simulate the COVID-19 transmission, the susceptible-exposed-symptomatic-asymptomatic-recovered-hospitalized (SEIARH) model was established based on the susceptible-exposed-infectious-recovered (SEIR) mathematical model of epidemic diseases. According to risk assessment indicators produced by different scenarios of the simulated interventions, the risk of COVID-19 transmission in Tokyo Olympic Games was assessed. Results: The current COVID-19 prevention measures proposed by the Japan Olympic Committee need to be enhanced. And large-scale vaccination will effectively control the spread of COVID-19. When the protective efficacy of vaccines is 78.1% or 89.8%, and if the vaccination rate of athletes reaches 80%, an epidemic prevention barrier can be established.

Quantitative Detection of Anti-SARS-CoV-2 Antibodies Using Indirect ELISA.

OBJECTIVE: Real-time reverse transcription-polymerase chain reaction is the gold standard for the diagnosis of COVID-19, but it is necessary to utilize other tests to determine the burden of the disease and the spread of the outbreak such as IgG-, IgM-, and IgA-based antibody detection using enzyme-linked immunosorbent assay (ELISA). MATERIALS AND METHODS: We developed an indirect ELISA assay to quantitatively measure the amount of COVID-19 IgG, IgM, and IgA antibodies present in patient serum, dried blood, and plasma. RESULTS: The population cutoff values for positivity were determined by receiver operating characteristic curves to be 1.23 U/mL, 23.09 U/mL, and 6.36 U/mL for IgG, IgM, and IgA, respectively. After albumin subtraction, the specificity remained >98% and the sensitivity was 95.72%, 83.47%, and 82.60%, respectively, for IgG, IgM, and IgA antibodies to the combined spike subunit 1 receptor binding domain and N proteins in serum. Plasma and dried blood spot specimens were also validated on this assay. CONCLUSION: This assay may be used for determining the seroprevalence of SARS-CoV-2 in a population exposed to the virus or in vaccinated individuals.

A cross-sectional study of olfactory and taste disorders among COVID-19 patients in China.

To determine the prevalence and clinical features of olfactory and taste disorders among coronavirus disease 2019 (COVID-19) patients in China. A cross-sectional study was performed in Wuhan from April 3, 2020 to April 15, 2020. A total of 187 patients with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) completed face-to-face interviews or telephone follow-ups. We found that the prevalence of olfactory and taste disorders was significantly lower in the Chinese cohort than in foreign COVID-19 cohorts. Females were more prone to olfactory and taste disorders. In some patients, olfactory and taste disorders precede other symptoms and can be used as early screening and warning signs.

Phylogenetic supertree reveals detailed evolution of SARS-CoV-2.

Corona Virus Disease 2019 (COVID-19) caused by the emerged coronavirus SARS-CoV-2 is spreading globally. The origin of SARS-Cov-2 and its evolutionary relationship is still ambiguous. Several reports attempted to figure out this critical issue by genome-based phylogenetic analysis, yet limited progress was obtained, principally owing to the disability of these methods to reasonably integrate phylogenetic information from all genes of SARS-CoV-2. Supertree method based on multiple trees can produce the overall reasonable phylogenetic tree. However, the supertree method has been barely used for phylogenetic analysis of viruses. Here we applied the matrix representation with parsimony (MRP) pseudo-sequence supertree analysis to study the origin and evolution of SARS-CoV-2. Compared with other phylogenetic analysis methods, the supertree method showed more resolution power for phylogenetic analysis of coronaviruses. In particular, the MRP pseudo-sequence supertree analysis firmly disputes bat coronavirus RaTG13 be the last common ancestor of SARS-CoV-2, which was implied by other phylogenetic tree analysis based on viral genome sequences. Furthermore, the discovery of evolution and mutation in SARS-CoV-2 was achieved by MRP pseudo-sequence supertree analysis. Taken together, the MRP pseudo-sequence supertree provided more information on the SARS-CoV-2 evolution inference relative to the normal phylogenetic tree based on full-length genomic sequences.

Advances in the treatment of novel coronavirus disease (COVID-19) with Western medicine and traditional Chinese medicine: a narrative review.

In December 2019, the coronavirus disease 2019 (COVID-19) caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was discovered. Since its emergence, COVID-19 has been outbreaking rapidly worldwide, where the virus has so far caused the death of hundreds of thousands and infected more than a million, what has been called a pandemic by the World Health Organization (WHO). According to the WHO-Coronavirus disease 2019 Situation Report-142, by June 10, 2020, there are 7,145,539 confirmed cases and 408,025 deaths. There is an urgent need to develop a suitable specific medicine against this novel coronavirus; therefore, scientists and researchers around the world are making great efforts endeavoring to discover an efficient specific medication for COVID-19 treatment. Given the similarity of the novel coronavirus with previous epidemic viruses, namely, the acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory syndrome coronavirus (MERS-CoV), previously tested drugs could potentially work against the novel coronavirus. In this narrative review, we aim to summarize and discuss the effectiveness of current Western medicine and traditional Chinese medicine options for COVID-19 treatment based on the overview of the scientific literature. Some Western medicines including remdesivir, chloroquine, hydroxychloroquine, favipiravir, lopinavir/ritonavir, and arbidol, as well as some traditional Chinese medicine (TCM) such as Qingfei Paidu decoction, Yupingfeng, Lianhua Qingwen, and TCM injections have revealed a relative activity against SARS-CoV-2 in vitro, in observational studies, and in clinical trials. However, further extensive studies and clinical trials including double-blind and randomized clinical trials, with a higher number of patients, are necessary to confirm the activity of these medicines. There are several ongoing trials conducted on the drugs of COVID-19, and the results are urgently needed to make a suitable treatment recommendation.

USING THE SEPARATION INDEX TO IDENTIFY THE MOST DOMINANT ROLE: A CASE OF APPLICATION ON COVID-19 OUTBREAK

The study aimed to introduce a new application of the separation index (SI) that allows objective determination of the dominant role in the COVID-19 outbreak which started in the city of Wuhan, China in December 2019 and subsequently spread to other provinces/regions of China as well as the rest of the world. The separation index is capable of determining the dominance, also defined as the absolute advantage (or disadvantage) in a comparable group of measures. We downloaded COVID-19 outbreak data on a daily basis from Google Sheet that provides information on confirmed cases in more than 30 Chinese locations and other countries/regions. Choropleth maps and Kano diagrams were drawn incorporating the 4SQ diagram. Three factors were assessed to determine which region played the most dominant role based on (1) the total number of confirmed cases, (2) the death rate, and (3) the SI of daily increase of confirmed cases using the separation index ranging from 0 to 1.0 (cutting at 0.70). We programmed Microsoft Excel VBA routines to arrange the data. Visual dashboards were created to display the results on Google Maps. We observed that as of February 17, 2020, the top three countries/regions within the three respective elements investigated were Hubei (China), Philippines, and British Columbia, with SI of 0.98, 0.61, and 0.52, respectively. The separation index is shown useful and capable in identifying the dominant role in a group. Further applications within and outside the context of COVID-19 are worthy of research effort.

Sleep disturbances among Chinese residents during the Coronavirus Disease 2019 outbreak and associated factors.

OBJECTIVES: Sleep status can affect the body's immune status and mental health. This study aims to investigate the sleep status of Chinese residents during the outbreak of Coronavirus Disease 2019 (COVID-19) and to evaluate its related risk factors. METHODS: This research carried out a cross-sectional survey in February 2020 (during the COVID-19 outbreak) to investigate the sleep status of residents nationwide in the form of an online questionnaire. Of the 8151 respondents, 6437 were eventually included in the analysis. Logistic regression is applied to analyze the associated factors affecting residents' sleep quality. RESULTS: During the COVID-19 outbreak, the incidence of sleep disturbances in residents was 17.65%. Increased risk of sleep disturbances was found to be associated with older age, female gender, and poor self-reported health status. Moreover, the odds ratios (ORs) were 1.42 (95% CI: 1.1-2.64), 1.35 (95% CI: 1.16-1.59), 5.59 (95% CI: 4.32-7.23), respectively. Those residents who believed COVID-19 had caused a high number of deaths or who thought COVID-19 was not easy to cure were more likely to experience sleep disorders, and the ORs were 1.73 (95% CI: 1.43-2.09), 1.57 (95% CI: 1.29-1.91), respectively. Regular exercise was a protective factor for sleep disturbances, OR = 0.77 (95% CI: 0.63-0.93). CONCLUSIONS: During the outbreak of COVID-19, nearly one-fifth of participants had sleep disorders. It is necessary to pay more attention to people at high risk for sleep disturbances during the outbreak, adopt effective risk communication methods, enhance residents' rational understanding of COVID-19, and develop practical indoor exercise programs for general public to improve sleep quality.

A 55-Day-Old Female Infant Infected With 2019 Novel Coronavirus Disease: Presenting With Pneumonia, Liver Injury, and Heart Damage.

BACKGROUND: Previous studies on the pneumonia outbreak caused by the 2019 novel coronavirus disease (COVID-19) were mainly based on information from adult populations. Limited data are available for children with COVID-19, especially for infected infants. METHODS: We report a 55-day-old case with COVID-19 confirmed in China and describe the identification, diagnosis, clinical course, and treatment of the patient, including the disease progression from day 7 to day 11 of illness. RESULTS: This case highlights that children with COVID-19 can also present with multiple organ damage and rapid disease changes. CONCLUSIONS: When managing such infant patients with COVID-19, frequent and careful clinical monitoring is essential.