bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barriers and facilitators to cross-sector workforce competency assessment in the care of older people residing in care homes
Authors: Tiplady Sue , Thompson Juliana , Cook Glenda , Bainbridge Lesley 
Published: January 2021

AbstractIn recent years, transformation in care delivery towards cross-sector models has occurred with the aim of providing safe, efficient care for older people with complex needs, including those living in care homes. Effective workforce competency development and assessment across sectors is integral to these models. However, there is much evidence to suggest a distinct lack of cross-sector alignment with regard to competency development and assessment, which could lead to variations in practice and affect outcomes for older people. This qualitative study explored the barriers and facilitators to cross-sector workforce competency assessment in the care of older people residing in care homes. Twenty nine staff with responsibility for staff learning and development participated. Data were analysed using Braun and Clarke’s (2006) six phase thematic analysis approach. Findings indicate that a significant challenge to the development of a competent workforce is evidencing competency, due to difficulties in finding appropriate assessors and inconsistencies in the assessment process. Findings also indicate potential solutions including: a system-wide, standardised framework and strategy for assessment of competence; policy for the ‘sign-off’ of competencies that is recognised across organisational boundaries; and adopting practice-based approaches to competence development and assessment.
Data Driven High Resolution Modeling and Spatial Analyses of the COVID-19 Pandemic in Germany
Authors: Schüler Lennart , Calabrese Justin M. , Attinger Sabine 
Published: January 2021

AbstractThe SARS-CoV-2 virus has spread around the world with over 90 million infections to date, and currently many countries are fighting the second wave of infections. With neither sufficient vaccination capacity nor effective medication, non-pharmaceutical interventions (NPIs) remain the measure of choice. However, NPIs place a great burden on society, the mental health of individuals, and economics. Therefore the cost/benefit ratio must be carefully balanced and a target-oriented small-scale implementation of these NPIs could help achieve this balance. To this end, we introduce a modified SEIR-class compartment model and parametrize it locally for all 412 districts of Germany. The NPIs are modeled at district level by time varying contact rates. This high spatial resolution makes it possible to apply geostatistical methods to analyse the spatial patterns of the pandemic in Germany and to compare the results of different spatial resolutions. We find that the modified SEIR model can successfully be fitted to the COVID-19 cases in German districts, states, and also nationwide. We propose the correlation length as a further measure, besides the weekly incidence rates, to describe the current situation of the epidemic.
Force of infection: A determinant of vaccine efficacy?
Authors: Kaslow David C. 
Published: January 2021

AbstractVaccine efficacy (VE) can vary in different settings. Of the many proposed setting-dependent determinants of VE, force of infection (FoI) stands out as one of the most direct, proximate, and actionable. As highlighted by the COVID-19 pandemic, modifying FoI through non-pharmaceutical interventions (NPIs) use can significantly contribute to controlling transmission and reducing disease incidence and severity absent highly effective pharmaceutical interventions, such as vaccines. Given that NPIs reduce the FoI, the question arises as to if and to what degree FoI, and by extension NPIs, can modify VE, and more practically, as vaccines become available for a pathogen, whether and which NPIs should continue to be used in conjunction with vaccines to optimize controlling transmission and reducing disease incidence and severity.
Evaluation of six commercial SARS-CoV-2 Enzyme-Linked Immunosorbent assays for clinical testing and serosurveillance
Authors: Nicholson Suellen , Karapanagiotidis Theo , Khvorov Arseniy , Douros Celia , Mordant Francesca , Bond Katherine , Druce Julian , Williamson Deborah A , Purcell Damian , Lewin Sharon R , Sullivan Sheena , Subbarao Kanta , Catton Mike 
Published: January 2021

ABSTRACTBackgroundSerological testing for SARS-CoV-2 complements nucleic acid tests for patient diagnosis and enables monitoring of population susceptibility to inform the COVID-19 pandemic response. As we move into the era of vaccines, the detection of neutralising antibody will become increasingly important. Many serological tests have been developed under emergency use authorization, but their reliability remains unclear.MethodsWe evaluated the performance of six commercially-available Enzyme-linked Immunosorbent Assays (ELISAs), including a surrogate virus neutralization test, for detection of SARS-CoV-2 immunoglobulins (IgA, IgM, IgG), total or neutralising antibodies and a subset of results were compared to microneutralisation.ResultsFor sera collected > 14 days post-symptom onset the Wantai total Ab performed best with highest sensitivity 100% (95% confidence interval: 94.6-100) followed by 93.1% for Euroimmun NCP-IgG,93.1% for GenScript Surrogate Virus Neutralization Test, 90.3% for Euroimmun S1-IgG, 88.9% for Euroimmun S1-IgA and 83.3% for Wantai IgM. Specificity for the best performing assay was 99.5% and for the lowest 97.1%.ConclusionWantai ELISA, detecting total immunoglobulins against SARS-CoV-2 receptor binding domain, had the best performance. Antibody target, timing and longevity of the immune response, and the objectives of testing should be considered in test choice. ELISAs should be used within a confirmatory testing algorithm to ensure reliable results. ELISAs provide high quality results, with flexibility for test numbers without the need for manufacturer specific analyzers.
CovidArray: a microarray-based assay with high sensitivity for the detection of SARS-CoV-2 in nasopharyngeal swabs
Authors: Damin Francesco , Galbiati Silvia , Gagliardi Stella , Cereda Cristina , Dragoni Francesca , Fenizia Claudio , Savasi Valeria , Sola Laura , Chiari Marcella 
Published: January 2021

AbstractBackgroundA new coronavirus (SARS-CoV-2) caused the current Covid-19 epidemic. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is used as the gold standard for clinical detection of SARS-CoV-2. Under ideal conditions RT-qPCR Covid-19 assays have analytical sensitivity and specificity greater than 95%. However, when the sample panel is enlarged including asymptomatic individuals, the sensitivity decreases and false-negative are reported. Moreover, RT-qPCR requires up to 3-6 hours with most of the time involved in RNA extraction from swab samples.MethodsWe introduce CovidArray, a microarray-based assay, to detect SARS-CoV-2 markers N1 and N2 in the nasopharyngeal swabs. The method is based on solid phase hybridization of fluorescently labelled amplicons upon RNA extraction and reverse transcription. This approach combines the physical-optical properties of the silicon substrate with the surface chemistry used to coat the substrate to obtain a diagnostic tool of great sensitivity. Furthermore, we used an innovative approach, RNAGEM, to extract and purify viral RNA in less than 15 minutes. To validate the CovidArray results, we exploited the high sensitivity of the droplet digital PCR (ddPCR) technique.ResultWe correctly assigned 12 nasopharyngeal swabs, previously analyzed by RT-qPCR. Thanks to the CovidArray sensitivity that matches that of the ddPCR, we were able to identify a false-negative sample.ConclusionsCovidArray is the first DNA microarray-based assay to detect viral genes in the swabs. Its high sensitivity and the innovative viral RNA extraction by RNAGEM allows to reduce both the amount of false negative results and the total analysis time to about 2 hours.
Extraction of Viral Nucleic Acids with Carbon Nanotubes Increases SARS-CoV-2 RT-qPCR Detection Sensitivity
Authors: Jeong Sanghwa , Grandio Eduardo G. , Navarro Nicole , Pinals Rebecca L. , Ledesma Francis , Yang Darwin , Landry Markita P. 
Published: January 2021

AbstractThe global SARS-CoV-2 coronavirus pandemic has led to a surging demand for rapid and efficient viral infection diagnostic tests, generating a supply shortage in diagnostic test consumables including nucleic acid extraction kits. Here, we develop a modular method for high-yield extraction of viral single-stranded nucleic acids by using ‘capture’ ssDNA sequences attached to carbon nanotubes. Target SARS-CoV-2 viral RNA can be captured by ssDNA-nanotube constructs via hybridization and separated from the liquid phase in a single-tube system with minimal chemical reagents, for downstream quantitative reverse transcription polymerase chain reaction (RT-qPCR) detection. This nanotube-based extraction method enables 100% extraction yield of target SARS-CoV-2 RNA from phosphate buffered saline in comparison to ∼20% extraction yield when instead using a commercial silica-column kit. Notably, carbon nanotubes enable extraction of nucleic acids directly from 50% human saliva, bypassing the need for further biofluid purification and avoiding the use of DNA/RNA extraction kits. Carbon nanotube-based extraction of viral nucleic acids facilitates high-yield and high-sensitivity identification of viral nucleic acids such as the SARS-CoV-2 viral genome with reduced reliance on reagents affected by supply chain obstacles.Abstract Figure
Identification of novel biomarkers for pyridoxine-dependent epilepsy using untargeted metabolomics and infrared ion spectroscopy - biochemical insights and clinical implications
Authors: Engelke Udo F.H. , van Outersterp Rianne E. , Merx Jona , van Geenen Fred A.M.G. , van Rooij Arno , Berden Giel , Huigen Marleen C.D.G. , Kluijtmans Leo A.J. , Peters Tessa M.A. , Al-Shekaili Hilal H. , Leavitt Blair R. , de Vrieze Erik , Broekman Sanne , van Wijk Erwin , Tseng Laura A. , Kulkarni Purva , Rutjes Floris P.J.T. , Mecinović Jasmin , Struys Eduard A. , Jansen Laura A. , Gospe Sidney M. , Mercimek-Andrews Saadet , Hyland Keith , Willemsen Michèl A.A.P. , Bok Levinus A. , van Karnebeek Clara D.M. , Wevers Ron A. , Boltje Thomas J. , Oomens Jos , Martens Jonathan , Coene Karlien L.M. 
Published: January 2021

AbstractPyridoxine-dependent epilepsy (PDE-ALDH7A1), also known as antiquitin deficiency, is an inborn error of lysine metabolism that presents with refractory epilepsy in newborns. Bi-allelic ALDH7A1 variants lead to deficiency of α-aminoadipic semialdehyde dehydrogenase, resulting in accumulation of piperideine-6-carboxylate (P6C), and secondary deficiency of the important co-factor pyridoxal-5’-phosphate (PLP, active vitamin B6) through its complexation with P6C. Vitamin B6 supplementation resolves epilepsy in patients, but despite this treatment, intellectual disability may occur. Early diagnosis and treatment, preferably based on newborn screening, potentially optimize long-term clinical outcome. However, the currently known diagnostic PDE-ALDH7A1 biomarkers are incompatible with newborn screening procedures. Using a combination of the innovative analytical methods untargeted metabolomics and infrared ion spectroscopy, we have been able to discover novel biomarkers for PDE-ALDH7A1: 2S,6S-and 2S,6R-oxopropylpiperidine-2-carboxylic acid (2-OPP) and 6-oxopiperidine-2-carboxylic acid (6-oxoPIP). We demonstrate the applicability of 2-OPP as a PDE-ALDH7A1 biomarker in newborn screening. Additionally, we show that 2-OPP accumulates in brain tissue of patients and Aldh7a1 knock-out mice, and induces epilepsy-like behavior in a zebrafish model system. We speculate that 2-OPP may contribute to ongoing neurotoxicity, also in treated PDE-ALDH7A1 patients. As 2-OPP formation appears to increase upon ketosis, we emphasize the importance of avoiding catabolism in PDE-ALDH7A1 patients.
A High-throughput Microsphere-based Immunoassay of Anti-SARS-CoV-2 IgM Testing for COVID-19 Diagnostics
Authors: Zhang Dayu , Xu Tianyang , Chu Eric , Zhang Aiguo , Du Jinwei , Sha Michael Y. 
Published: January 2021

ABSTRACTThe pandemic of novel coronavirus disease COVID-19 is rapidly expanding across the world. A positive result of antibody tests suggests that the individual has potentially been exposed to SARS-CoV-2, thus allowing to identify asymptomatic infections and determine the seroprevalence in a given population. The aim of this study was to evaluate the performances of a newly developed high throughput immunoassay for anti-SARS-CoV-2 IgM antibody detection on the Luminex MAGPIX platform. Clinical agreement studies were performed in 42 COVID-19 patient serum samples and 162 negative donor serum/plasma samples. Positive percent agreement (PPA) was 42.86% (95% CI: 9.90% to 81.59%), 71.43% (95% CI: 29.04% to 96.33%), and 28.57% (95% CI: 13.22% to 48.67%) for samples collected on 0-7 days, 8-14 days, and 2-8 weeks from symptom onset, respectively. Negative Percent Agreement (NPA) was 97.53% (95% CI: 93.80% to 99.32%). There was no cross-reactivity with the SARS-CoV-2 IgG antibody Hemoglobin (200 mg/dL), bilirubin (2 mg/dL), triglyceride (250 mg/dL) and EDTA (10 mM) showed no significant interfering effect on this assay. In conclusion, an anti-SARS-CoV-2 IgM antibody assay with high sensitivity and specificity has been developed. With the high throughput, this assay will speed up the anti-SARS-CoV-2 IgM testing.
Validation of Kiswahili Version of WHOQOLHIVBREF questionnaire among people living with HIV/AIDS in Tanzania: a cross-sectional study
Authors: Kondo Nuru , Mwansisya Tumbwene , Aghan Eric , Ratansi Riaz 
Published: January 2021

AbstractBackgroundQuality of life is an important element of surveillance in people living with HIV/AIDS. WHO has developed an HIV specific quality of life tool (WHOQOLHIV-Bref) for assessing Quality of life of HIV individuals. This tool takes into account the different cultural variations that exist worldwide and hence enable assessment of the quality of life across different cultures. Despite its preliminary sound validity and reliability from several studies, the developers recommend it to be validated in different cultures to fully assess its psychometric properties before its adaptation.ObjectivesTo evaluate the validity and reliability of WHOQOLHIV-Bref questionnaire in Tanzanian culture among people living with HIV/AIDS.MethodsThis was a cross-sectional study of 103 participants interviewed using a Kiswahili WHOQOLHIV-BREF questionnaire. Of, these participants 47 participants were enrolled to repeat an interview two weeks later. Internal consistency and test-retest reliability were analyzed. Validity was assessed through analysis of translational, concurrent, convergent and discriminant validity while the model performance was assessed by Exploratory and confirmatory factor analysis.ResultsThe mean age of the participants was 40.5 ± 9.702 years. Translation validity was assessed through the WHO translational protocol and was found to be good. The internal consistency and test-retest reliability of the Kiswahili version of WHOQOL-HIV BREF were excellent: Cronbach’s alpha values of 0.89-0.90, and ICC of 0.92 p < 0.01 respectively. Concurrent valid was excellent, significant correlations were noted across all domains (correlation coefficient r > 0.3) except for physical and spiritual domains. Confirmatory factor analysis found that the six domain produced an acceptable fit to the data. The convergent and divergent validities were satisfactory.ConclusionKiswahili WHOQOLHIV-Bref was found to be reliable and valid questionnaire among Tanzanian people living with HIV/AIDS. These findings provide support for the use of this tool in assessing the quality of life in Tanzania.
Agreement between state registry, health record, and self-report of influenza vaccination
Authors: Petrie Joshua G. , Fligiel Helene , Lamerato Lois , Martin Emily T. , Monto Arnold S. 
Published: January 2021

ABSTRACTBackgroundDocumentation of influenza vaccination, including the specific product received, is critical to estimate annual vaccine effectiveness (VE).MethodsWe assessed performance of the Michigan Care Improvement Registry (MCIR) in defining influenza vaccination status relative to documentation by provider records or self-report among subjects enrolled in a study of influenza VE from 2011 through 2019.ResultsThe specificity and positive predictive value of MCIR were high; however, >10% of vaccinations were identified only by other sources each season. The proportion of records captured by MCIR increased from a low of 67% in 2013-2014 to a high of 89% in 2018-2019, largely driven by increased capture of vaccination among adults.ConclusionsState vaccine registries, such as MCIR, are important tools for documenting influenza vaccination, including the specific product received. However, incomplete capture suggests that documentation from other sources and self-report should be used in combination with registries to reduce misclassification.
Personalized and dynamic antibiograms-an exploration in seven infectious syndromes
Authors: Iandiorio Michelle J. , Fazio Jane C. , Kempaiah Prakasha , Darvasula Ravi , van Regenmortel Marc H. V. , Rivas Ariel L. 
Published: January 2021

ABSTRACTTo prevent antimicrobial resistance and inform better, antibiograms should distinguish different biomedical situations. It is also desirable that new antibiograms provide in vivo, temporal, and patient-specific immunological information. Here, the informative ability of a pattern recognition-based method was explored with data collected from patients that experienced seven infectious syndromes (pneumonia, endocarditis, tuberculosis, syphilis, as well as skin and soft tissue, intra-abdominal, and/or urinary tract infections associated with meningitis). Interactions among seven dimensions (7D) were investigated: (i) space, (ii) time, (iii) temporal data directionality, (iv) immunological multicellularity, (v) antibiotics, (vi) immunomodulation, and (vii) personalized data. Omissions and ambiguity (confounding different biological situations) occurred when static metrics were used in isolation, such as leukocyte percentages. In contrast, hidden information was uncovered when complexity and dynamics were assessed. The 7D approach grouped together observations that displayed similar immune profiles and identified antibiotics that modulated specific leukocytes. For instance, in tuberculosis, blood monocytes were modulated by isoniazid-related antimicrobials. In spite of the diverse syndromes analyzed, this proof-of-concept discriminated. It is suggested that the simultaneously exploration of numerous dimensions associated with complexity may be biologically interpretable, prevent ambiguity, promote research, expand machine learning-oriented methods, and support personalized medicine.
Model-driven mitigation measures for reopening schools during the COVID-19 pandemic
Authors: McGee Ryan S. , Homburger Julian R. , Williams Hannah E. , Bergstrom Carl T. , Zhou Alicia Y. 
Published: January 2021

AbstractReopening schools is an urgent priority as the COVID-19 pandemic drags on. To explore the risks associated with returning to in-person learning and the value of mitigation measures, we developed stochastic, network-based models of SARS-CoV-2 transmission in primary and secondary schools. We find that a number of mitigation measures, alone or in concert, may reduce risk to acceptable levels. Student cohorting, in which students are divided into two separate populations that attend in-person classes on alternating schedules, can reduce both the likelihood and the size of outbreaks. Proactive testing of teachers and staff can help catch introductions early, before they spread widely through the school. In secondary schools, where the students are more susceptible to infection and have different patterns of social interaction, control is more difficult. Especially in these settings, planners should also consider testing students once or twice weekly. Vaccinating teachers and staff protects these individuals and may have a protective effect on students as well. Other mitigations, including mask-wearing, social distancing, and increased ventilation, remain a crucial component of any reopening plan.
Willingness to volunteer of medical students during the COVID-19 pandemic: Assessment at a tertiary care hospital in India
Authors: Sra Manraj , Gupta Amulya , Jaiswal Abhishek , Yadav Kapil , Goswami Anil , Goswami Kiran 
Published: January 2021

AbstractBackground and ObjectivesThe involvement of medical students in strategies to control COVID-19 might be considered to cope with the shortage of healthcare workers. This study aims at assessing the level of knowledge about COVID-19, willingness to volunteer, potential areas of involvement and reasons for deterrence towards volunteering among medical students.MethodsA cross-sectional study was conducted among undergraduate medical students of a tertiary care teaching hospital in New Delhi. A web-based questionnaire was used to elicit demographic information, knowledge of COVID-19, willingness to volunteer and reasons for deterrence for working during COVID-19 pandemic and self-declared knowledge in six domains.ResultsA total of 292 students participated in the study with a mean age of 19.9±3.1 years. The mean (S.D.) knowledge score of COVID-19 was 6.9 (1.1) (maximum score 10). Knowledge score was significantly different among preclinical (6.5), paraclinical (7.18), and clinical groups (7.03). Almost three fourth (75.3%) participants were willing to volunteer in COVID-19 pandemic, though 67.8% had not received any training in emergency medicine or public health crisis management. Willingness to work was maximum in areas of social work and indirect patient care (62.3% each). Lack of personal protective equipment was cited as a highly deterrent factor for volunteering (62.7%) followed by fear of transmitting the infection to family (45.9%), fear of causing harm to the patient (34.2%), and absence of treatment (22.2%).Interpretation & conclusionsMajority of the students were willing to volunteer even though they had not received adequate training. Students may serve as an auxiliary force during the pandemic, especially in the non-clinical setting.