[Clinical features of children with coronavirus disease 2019 caused by Delta variant infection in different age groups]. / 不同年龄段儿童Deltaå˜å¼‚æ ªæ„ŸæŸ“æ‰€è‡´æ–°åž‹å† çŠ¶ç— æ¯’æ„ŸæŸ“çš„ä¸´åºŠç‰¹å¾åˆ†æž.

OBJECTIVES: To study the clinical features of children with coronavirus disease 2019 (COVID-19) caused by Delta variant infection in different ages groups. METHODS: A total of 45 children with COVID-19 caused by Delta variant infection who were hospitalized in the designated hospital in Henan Province, China, from November 17 to December 17, 2021, were included. They were divided into three groups: <6 years group (n=16), 6-13 years group (n=16), and >13 years group (n=13). The three groups were compared in clinical features and laboratory examination data. RESULTS: COVID-19 in all age groups was mainly mild. Main manifestations included cough and expectoration in the three groups, and fever was only observed in the 6-13 years group. The <6 years group had significantly higher serum levels of aspartate aminotransferase, lactate dehydrogenase, and creatine kinase isoenzymes than the other two groups (P<0.05). The 6-13 years group had the highest proportion of children with elevated serum creatinine levels (50%). Among the three groups, only 4 children in the >13 years group had an increase in serum C-reactive protein levels. The 6-13 years group had the lowest counts of CD3+CD4+ lymphocytes, CD3+CD8+ lymphocytes, and natural killer cells in the peripheral blood among the three groups. The >13 years group had a significantly higher positive rate of SARS-CoV-2 IgG on admission than the other two groups (P<0.05). There was no significant difference in the imaging findings on chest CT among the three groups (P>0.05). CONCLUSIONS: The clinical features of COVID-19 caused by Delta variant infection in children of different age groups may be different: children aged <6 years tend to develop myocardial injury, and those aged 6-13 years have fever except cough and expectoration and tend to develop renal and immune dysfunction.

Assessment of Long-Term Effects on Pulmonary Functions Between Severe and Non-Severe Convalescent COVID-19 Patients: A Single-Center Study in China.

Objective: To explore the long-term effects of SARS-Cov-2 infection on the pulmonary function in the severe convalescent COVID-19 patients for 6 to 9 months follow-up in Beijing, China. Methods: A total of 64 cases of COVID-19 patients were recruited for the study and discharged from the Beijing Ditan Hospital, Capital Medical University, for 6 to 9 months. COVID-19 patients were divided into non-severe (mild and moderate) and severe groups. The follow-up investigated the lung function tests, the novel coronavirus antibody (IgM and IgG), chest CT and blood tests. Results: About 25.00% (16/64) patients had pulmonary ventilation dysfunction and 35.9% (23/64) had diffusion dysfunction. In the severe group, 56.50% (13/23) individuals showed decreased diffusion function. The diffusion dysfunction of the severe group was significantly decreased than the non-severe group (P = 0.01). Among 56 cases, the positive rate of IgG titers was 73.2% (41/56). The result of chest CT showed 55.36% (31/56) cases in nodules, 44.64% (25/56) in strip-like changes, 37.5% (21/56) in-ground glass shadow, and 5.36% (3/56) in grid shadow, which was significantly different between the severe group and the non-severe group. Patients tended to have ground glass changes in the severe group while nodules in the non-severe group. Conclusion: For the 6 to 9 months in convalescent COVID-19 patients, 56.50% (13/23) of severe patients had pulmonary diffusion dysfunction. Convalescent COVID-19 patients should have their pulmonary function regularly tested, especially those with severe illness.

[Clinical features of children with coronavirus disease 2019 Delta variant infection after vaccination with inactivated SARS-CoV-2 vaccine]. / æŽ¥ç§æ–°åž‹å† çŠ¶ç— æ¯’ç­æ´»ç–«è‹—åŽæ„ŸæŸ“Deltaå˜å¼‚æ ªçš„æ–°åž‹å† çŠ¶ç— æ¯’è‚ºç‚Žæ‚£å„¿ä¸´åºŠç‰¹å¾åˆ†æž.

OBJECTIVES: To study the clinical features of children with coronavirus disease 2019 (COVID-19) Delta variant infection vaccinated or not vaccinated with inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine. METHODS: A total of 11 children with COVID-19 Delta variant infection who were vaccinated with inactivated SARS-CoV-2 vaccine and were hospitalized in the designated hospital in Henan Province, China, from November 3 to December 17, 2021 were enrolled as the vaccinated group. Thirty-one children with COVID-19 Delta variant infection who were not vaccinated and were hospitalized during the same period were enrolled as the unvaccinated group. A retrospective analysis was performed on their epidemiological data, clinical features, and laboratory examination results. RESULTS: There was no significant difference in gender composition and disease classification between the two groups (P>0.05), and there was also no significant difference in the incidence rates of the clinical symptoms such as cough, expectoration, and fever between the two groups (P>0.05). No significant difference was found between the two groups in leukocyte count, lymphocyte percentage, alanine aminotransferase, and serum creatinine (P>0.05). Compared with the unvaccinated group, the vaccinated group had significantly lower levels of aspartate aminotransferase, lactate dehydrogenase, and creatine kinase-MB (P<0.05). There was no significant difference between the two groups in the proportion of children with elevated C-reactive protein or procalcitonin and the levels of peripheral blood cytokines (P>0.05). The vaccinated group had significantly lower counts of B lymphocytes and total T lymphocytes (CD3+) than the unvaccinated group (P<0.05). Compared with the unvaccinated group, the vaccinated group had a significantly higher positive rate of IgG on admission and at week 2 of the course of disease (P<0.05), as well as a significantly higher Ct value of nucleic acid at weeks 1 and 2 of the course of disease (P<0.05). CONCLUSIONS: Vaccination with inactivated SARS-CoV-2 vaccine may reduce myocardial injury caused by SARS-CoV-2 Delta variant. For children with SARS-CoV-2 Delta variant infection after the vaccination, more attention should be paid to their immune function.

A multifunctional colorimetric sensor array for bacterial identification and real-time bacterial elimination to prevent bacterial contamination.

Effective identification and real-time inactivation of pathogenic microorganisms is of great importance for preventing their infection and spread in public health, especially considering the huge threat of coronavirus disease 2019 (COVID-19). Herein, a novel multifunctional colorimetric sensor array with 3,3',5,5'-tetramethylbenzidine (TMB) as a single probe has been constructed. TMB can be efficiently oxidized to generate oxidized TMB (oxTMB) by HAuCl4, which displays four characteristic absorption peaks. The presence of different bacteria could inhibit the oxidation reaction and cause diverse changes in the intensity of the four characteristic peaks. Based on linear discriminant analysis (LDA), not only are nine kinds of pathogenic bacteria successfully identified, but also drug-resistant strains are distinguished from sensitive ones. Interestingly, HAuCl4 can be employed as a germicidal agent to inactivate bacteria during the identification and avoid accessional bacterial contaminations. The developed strategy provides a new and simple avenue for bacterial identification and elimination to effectively protect the public from bacterial contamination.

Evolution of viral pathogens follows a linear order (preprint)

Although lessons have been learned from previous severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) outbreaks, the rapid evolution of the viruses means that future outbreaks of a much larger scale are possible, as shown by the current coronavirus disease 2019 (COVID-19) outbreak. Therefore, it is necessary to better understand the evolution of coronaviruses as well as viruses in general. This study reports a comparative analysis of the amino acid usage within several key viral families and genera that are prone to triggering outbreaks, including coronavirus (SARS-CoV-2, SARS-CoV, MERS-CoV, HCoV-HKU1, HCoV-OC43, HCoV-NL63, HCoV-229E), influenza A (H1N1, H3N2), flavivirus (dengue virus serotypes 1-4, Zika) and ebolavirus (Zaire, Sudan, Bundibugyo ebolavirus). Our analysis reveals that the distribution of amino acid usage in the viral genome is constrained to follow a linear order, and the distribution remains closely related to the viral species within the family or genus. This constraint can be adapted to predict viral mutations and future variants of concern. By studying previous SARS and MERS outbreaks, we have adapted this naturally occurring pattern to determine that although pangolin plays a role in the outbreak of COVID-19, it may not be the sole agent as an intermediate animal. In addition to this study, our findings contribute to the understanding of viral mutations for subsequent development of vaccines and toward developing a model to determine the source of the outbreak.

Can tourism sustain itself through the pandemic: nexus between tourism, COVID-19 cases and air quality spread in the 'Pineapple State' Hawaii. (Special Issue: COVID-19 and tourism.)

The COVID-19 pandemic has severely hit the United States of America (USA) with tourism being one of the most directly affected sectors. The effect is even more striking in Hawaii, which has been one of the most popular tourist destinations in the United States since the 1950s. While the state government's early reaction has resulted in a decrease in COVID cases in this state, travel restrictions established in response to the pandemic have wreaked havoc on the state's tourist economy. To quantitatively measure this impact, this paper investigates the nexus between the international tourist arrivals, COVID-19 spread, and air quality in Hawaii. Using the daily data from March 2020 to August 2020, the study employs the robust methodology comprising Wavelet coherence, partial and multiple Wavelet coherence methods. The empirical results reveal a significant coherence between international tourists, COVID-19 cases, and air quality at different time-frequency compositions.

Climate indicators and COVID-19 recovery: A case of Wuhan during the lockdown.

The world needs to get out of the COVID-19 pandemic smoothly through a thorough socio-economic recovery. The first and the foremost step forward in this direction is the health recovery of the people infected. Our empirical study addresses this neglected point in the recent research on COVID-19 and specifically aims at exploring the impact of the environment on health recovery from COVID-19. The sample data are taken during the lockdown period in Wuhan, i.e., from 23rd January 2020 to 8th April 2020. The recently developed econometric technique of Quantile-on-Quantile regression, proposed by Shin and Zhu (2016) is employed to capture the asymmetric association between environmental factors (TEMP, HUM, PM2.5, PM10, CO, SO2, NO2, and O3) and the number of recovered patients from COVID-19. We observe significant heterogeneity in the association among variables across various quantiles. The findings suggest that TEMP, PM2.5, PM10, CO, NO2, and O3 are negatively related to the COVID-19 recovery, while HUM and SO2 show a positive association at most quantiles. The study recommends that maintaining a safe and comfortable environment for the patients may increase the chances of recovery from COVID-19. The success story of Wuhan, the initial epicenter of the novel coronavirus in China, can serve as an important case study for other countries to bring the outbreak under control. The current study could be conducive for the policymakers of those countries where the COVID-19 pandemic is still unrestrained.