Viral dynamics of SARS-CoV-2 Omicron infections in a previously low COVID-19 prevalence region: Effects of vaccination status, antiviral agents, and age.

BACKGROUND: In Taiwan, the prevalence of COVID-19 was low before April 2022. The low SARS-CoV-2 seroprevalence in the population of Taiwan provides an opportunity for comparison with fewer confounding factors than other populations globally. Cycle threshold (Ct) value is an easily accessible method for modeling SARS-CoV-2 dynamics. In this study, we used clinical samples collected from hospitalized patients to explore the Ct value dynamics of the Omicron variant infection. METHODS: From Jan 2022 to May 2022, we retrospectively included hospitalized patients tested positive by nasopharyngeal SARS-CoV-2 PCR. We categorized the test-positive subjects into different groups according to age, vaccination status, and use of antiviral agents. To investigate the nonlinear relationship between symptom onset days and Ct value, a fractional polynomial model was applied to draw a regression line. RESULTS: We collected 1718 SARS-CoV-2 viral samples from 812 individuals. The Ct values of unvaccinated individuals were lower than those of vaccinated persons from Day 4 to Day 10 after symptom onset. The Ct value increased more rapidly in those individuals with antiviral drug treatment from Day 2 to Day 7. In elderly individuals, the Ct values increased slowly from Day 5 to Day 10, and the increasing trend was unique compared with that in children and adults. CONCLUSION: Our study demonstrated the primary viral infection dynamics of the Omicron variant in hospitalized patients. Vaccination significantly affected viral dynamics, and antiviral agents modified viral dynamics irrespective of vaccination status. In elderly individuals, viral clearance is slower than that in adults and children.

The role of digital transformation in improving collaborative planning to address unexpected crisis

Unexpected crises such as the COVID-19 pandemic considerably influence business operations and supply chains worldwide. Therefore, many companies have adopted digitalization to address the rapidly changing environment. However, few studies have explored the mediating mechanism between digitalization and collaborative planning. Based on structural equation modeling, this study examines how digital transformation can improve collaborative planning through the mediating roles of management participation and information sharing. The results indicate that digital transformation significantly affects management and information sharing. Additionally, management participation and information sharing positively affect collaborative planning. However, this study reveals that digital transformation does not directly influence collaborative planning. Overall, owing to a lack of research exploring the mediating mechanism between digital transformation and collaborative planning, this study contributes to digitalization and manufacturing and provides valuable suggestions. Fundamentally, companies that want to develop digitalization and encourage collaborative planning should consider the effects of management participation and information sharing.

The role of digital transformation in improving collaborative planning to address unexpected crisis

Unexpected crises such as the COVID-19 pandemic considerably influence business operations and supply chains worldwide. Therefore, many companies have adopted digitalization to address the rapidly changing environment. However, few studies have explored the mediating mechanism between digitalization and collaborative planning. Based on structural equation modeling, this study examines how digital transformation can improve collaborative planning through the mediating roles of management participation and information sharing. The results indicate that digital transformation significantly affects management and information sharing. Additionally, management participation and information sharing positively affect collaborative planning. However, this study reveals that digital transformation does not directly influence collaborative planning. Overall, owing to a lack of research exploring the mediating mechanism between digital transformation and collaborative planning, this study contributes to digitalization and manufacturing and provides valuable suggestions. Fundamentally, companies that want to develop digitalization and encourage collaborative planning should consider the effects of management participation and information sharing. [ FROM AUTHOR]

How do low-income single-mothers get by when unemployment strikes: Patterns of multiple program participation after transition from employment to unemployment.

Little is known about longitudinal patterns of welfare program participation among single mothers after they transition from employment to unemployment. To better understand how utilization patterns of these welfare programs may change during the 12 months after a job loss, we used the 2008 Survey of Income and Program Participation to examine the patterns of participation in Medicaid, the Supplemental Nutrition Assistance Program, Temporary Assistance for Needy Families, and unemployment insurance among 342 single mothers who transitioned from employment to unemployment during the Great Recession. Using sequence analysis and cluster analysis, this paper identified four distinct patterns of program participation: (a) constantly receiving in-kind benefits; (b) primarily but not solely receiving food stamps; (c) inconsistent unemployment insurance or Medicaid-based benefits; and (d) limited or no benefits. Almost two-fifths of our sample of single mothers received inconsistent, limited, or no benefits. Results of the multinomial regression revealed that race, work disability, poverty, homeownership, and region of residence were significant factors that influenced whether study subjects participated in or had access to social safety net programs. Our findings illustrate the heterogeneity in patterns of multiple program participation among single mothers transitioning from employment to unemployment. Better understanding these varied patterns may inform decisions that increase the accessibility of US social safety net programs for single mothers during periods of personal economic hardship.

Phylogenetic characteristics of Non-SARS human coronavirus in southern Taiwan, 2012-2013.

This study characterizes the phylogenetic relatedness of non-SARS human coronaviruses (HCoVs) in southern Taiwan by sequencing the nucleocapsid (N), spike (S), and RNA-dependent RNA polymerase (RdRp) genes directly from ten HCoV PCR-positive respiratory samples collected during 2012-2013. In the N, S1, and RdRp phylogeny, HCoV-OC43 in one and three samples was clustered with genotypes F and G, respectively, and HCoV-OC43 in sample YC101/TWN/2013 represented a recombination event between genotypes F and G. Amino acid substitutions in the S1 protein of HCoV-OC43 were also identified. In the N phylogeny, HCoV-HKU1 in one and two samples clustered with genotypes A and B, respectively, and HCoV-229E in two samples was clustered with genogroup 6. The genotypes and genogroup detected here were in line with the prevalent phylogenetic lineages reported outside of Taiwan during the contemporary period. In summary, three species of non-SARS HCoVs with different genotypes cocirculated in the community, with genetic evolution observed in HCoV-OC43.

Effectiveness and safety of oral lactococci-based vaccine encoding triple common allergens to prevent airway allergy in mice.

Allergic airway disease is the most common chronic airway inflammatory disorder in developed countries. House dust mite, cockroach, and mold are the leading allergens in most tropical and subtropical countries, including Taiwan. As allergen avoidance is difficult for patients allergic to these perennial indoor allergens, allergen-specific immunotherapy (ASIT) is the only available allergen-specific and disease-modifying treatment. However, for patients sensitized to multiple allergens, ASIT using each corresponding allergen is cumbersome. In the present study, we developed a recombinant L. lactis vaccine against the three most common indoor aeroallergens and investigated its effectiveness for preventing respiratory allergy and safety in mice. Three recombinant clones of Der p 2 (mite), Per a 2 (roach), and Cla c 14 (mold) were constructed individually in pNZ8149 vector and then electroporated into host strain L.lactis NZ3900. BALB/c mice were fed with the triple vaccine 5 times per week for 4 weeks prior to sensitization. The effectiveness and safety profile were then determined. Oral administration of the triple vaccine significantly alleviated allergen-induced airway hyper-responsiveness in the vaccinated mice. The allergen-specific IgG2a was upregulated. IL-4 and IL-13 mRNA expressions as well as inflammatory cell infiltration in the lungs decreased significantly in the vaccinated groups. No body weight loss or abnormal findings in the liver and kidneys were found in any of the groups of mice. This is the first report to describe a triple-aeroallergen vaccine using a food-grade lactococcal expression system. We developed a convenient oral delivery system and intend to extend this research to develop a vaccination that can be self-administered at home by patients.

Clinical and etiological analysis of co-infections and secondary infections in COVID-19 patients: An observational study.

BACKGROUND: Co-infections, secondary bacterial or fungal infections, are important risk factors for poor outcomes in viral infections. The prevalence of co-infection and secondary infection in patients infected with SARS-CoV-2 is not well understood. AIMS: To investigate the role of co-infections and secondary infections in disease severity of hospitalized individuals with COVID-19. MATERIALS AND METHODS: A retrospective study was carried out between 11 January 2020 and 1 March 2020 among 408 laboratory confirmed COVID-19 patients in China. These patients were divided into three groups based on disease severity: mild or moderate, severe, or critically ill. Microbiological pathogens in blood, urine, and respiratory tract specimens were detected by the combination of culture, serology, polymerase chain reaction, and metagenomic next-generation sequencing (mNGS). RESULTS: The median age of participants was 48 years (IQR 34-60 years). Fifty-two patients (12.7%) had at least one additional pathogen, 8.1% were co-infected, and 5.1% had a secondary infection. There were 13 Mycoplasma pneumoniae cases, 8 Haemophilus influenzae cases, 8 respiratory viruses, and 3 Streptococcus pneumoniae cases, primarily detected in mild and moderate COVID-19 patients. Hospital-acquired infection pathogens were more common in critically ill patients. Compared to those without additional pathogens, patients with co-infections and/or secondary infections were more likely to receive antibiotics (p < 0.001) and have elevated levels of d-dimer (p = 0.0012), interleukin-6 (p = 0.0027), and procalcitonin (p = 0.0002). The performance of conventional culture was comparable with that of mNGS in diagnosis of secondary infections. CONCLUSION: Co-infections and secondary infections existed in hospitalized COVID-19 patients and were relevant to the disease severity. Screening of common respiratory pathogens and hospital infection control should be strengthened.

Profile of Immunoglobulin G and IgM Antibodies Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2).

We profiled the serological responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N) protein and spike (S) glycoprotein. The majority of the patients developed robust antibody responses between 17 and 23 days after illness onset. Delayed, but stronger, antibody responses were observed in critical patients.

Fighting COVID-19: A quick review of diagnoses, therapies, and vaccines.

The coronavirus disease 2019 (COVID-19) pandemic caused by a novel coronavirus, SARS-CoV-2, has infected more than 22 million individuals and resulted in over 780,000 deaths globally. The rapid spread of the virus and the precipitously increasing numbers of cases necessitate the urgent development of accurate diagnostic methods, effective treatments, and vaccines. Here, we review the progress of developing diagnostic methods, therapies, and vaccines for SARS-CoV-2 with a focus on current clinical trials and their challenges. For diagnosis, nucleic acid amplification tests remain the mainstay diagnostics for laboratory confirmation of SARS-CoV-2 infection, while serological antibody tests are used to aid contact tracing, epidemiological, and vaccine evaluation studies. Viral isolation is not recommended for routine diagnostic procedures due to safety concerns. Currently, no single effective drug or specific vaccine is available against SARS-CoV-2. Some candidate drugs targeting different levels and stages of human responses against COVID-19 such as cell membrane fusion, RNA-dependent RNA polymerase, viral protease inhibitor, interleukin 6 blocker, and convalescent plasma may improve the clinical outcomes of critical COVID-19 patients. Other supportive care measures for critical patients are still necessary. Advances in genetic sequencing and other technological developments have sped up the establishment of a variety of vaccine platforms. Accordingly, numerous vaccines are under development. Vaccine candidates against SARS-CoV-2 are mainly based upon the viral spike protein due to its vital role in viral infectivity, and most of these candidates have recently moved into clinical trials. Before the efficacy of such vaccines in humans is demonstrated, strong international coordination and collaboration among studies, pharmaceutical companies, regulators, and governments are needed to limit further damage due the emerging SARS-CoV-2 virus.

2019 novel coronavirus disease (COVID-19) in Taiwan: Reports of two cases from Wuhan, China.

We reported two cases with community-acquired pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) who returned from Wuhan, China in January, 2020. The reported cases highlight non-specific clinical presentations of 2019 novel coronavirus disease (COVID-19) as well as the importance of rapid laboratory-based diagnosis.