scholarly journals Implementation of the University of Louisville COVID-19 Biorepository: Experiences from the Center of Excellence in Infectious Diseases (CERID)

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Dawn Balcom ◽  
Keyword(s):  
Infectious Diseases ◽  
Clinical Data ◽  
Biological Samples ◽  
Future Research ◽  
Research Institutions ◽  
Limited Availability ◽  
Center Of Excellence ◽  
University Of Louisville ◽  
The University

The limited availability of biological samples from patients testing positive for SARS CoV-2 to be available for future research was quickly identified at the onset of the COVID-19 pandemic. In response to this need, a COVID-19 biobank was initiated by the University of Louisville Division of Infectious Diseases, Center of Excellence for Research in Infectious Diseases (CERID). The COVID-19 biobank contains waste samples obtained from patients hospitalized with COVID-19 in any of the nine Louisville, Kentucky area hospitals during the timeframe of April 13, 2020 through 09-20-2020. The COVID-19 biobank stores approximately1,623 waste samples with 2,127 aliquots for distribution. All samples are linked to clinical data. The methods described in this paper are intended for use as a guide for other research institutions interested in developing a COVID-19 biobank.

scholarly journals Cohort study protocol: Bioresource in Adult Infectious Diseases (BioAID)

2018 ◽  
Vol 3 ◽  
pp. 97 ◽  
Author(s):  
Laura J. Shallcross ◽  
Alexander Mentzer ◽  
Saadia Rahman ◽  
Graham S. Cooke ◽  
Shiranee Sriskandan ◽  
...  
Keyword(s):  
Cohort Study ◽  
Infectious Diseases ◽  
Biological Samples ◽  
Biomarker Discovery ◽  
Future Research ◽  
Application Form ◽  
Phenotypic Data ◽  
Suspected Infection ◽  
Deferred Consent ◽  
Peripheral Blood Culture

Introduction: Infectious diseases have a major impact on morbidity and mortality in hospital. Microbial diagnosis remains elusive for most cases of suspected infection which impacts on the use of antibiotics. Rapid advances in genomic technologies combined with high-quality phenotypic data have great potential to improve the diagnosis, management and clinical outcomes of infectious diseases.  The aim of the Bioresource in Adult Infectious Diseases (BioAID) is to provide a platform for biomarker discovery, trials and clinical service developments in the field of infectious diseases, by establishing a registry linking clinical phenotype to microbial and biological samples in adult patients who attend hospital with suspected infection. Methods and analysis: BioAID is a cohort study which employs deferred consent to obtain an additional 2.5mL RNA blood sample from patients who attend the Emergency Department (ED) with suspected infection when they undergo peripheral blood culture sampling.  Clinical data and additional biological samples including DNA, serum and microbial isolates are obtained from BioAID participants during hospital admission.  Participants are also asked to consent to be recalled for future studies. BioAID aims to recruit 10,000 patients from 5-8 sites across England.  Since February 2014 >4000 individuals have been recruited to the study.  The final cohort will be characterised using descriptive statistics including information on the number of cases that can be linked to biological and microbial samples to support future research studies. Ethical approval and section 251 exemption have been obtained for BioAID researchers to seek deferred consent from patients from whom a RNA specimen has been collected. Samples and meta-data obtained through BioAID will be made available to researchers worldwide following submission of an application form and research protocol.   Conclusions: BioAID will support a range of study designs spanning discovery science, biomarker validation, disease pathogenesis and epidemiological analyses of clinical infection syndromes.

Haemophilia Registry of the Medical Committee of the Swiss Haemophilia Society

2009 ◽  
Vol 29 (S 01) ◽  
pp. S16-S18 ◽  
Author(s):  
B. Brand ◽  
N. von der Weid
Keyword(s):  
Quality Control ◽  
Infectious Diseases ◽  
Mutation Analysis ◽  
Clinical Data ◽  
Age Groups ◽  
Treatment Modalities ◽  
Global Survey ◽  
On Demand ◽  
Per Capita ◽  
Severity Of The Disease

SummaryThe Swiss Haemophilia Registry of the Medical Committee of the Swiss Haemophilia Society was established in 2000. Primarily it bears epidemiological and basic clinical data (incidence, type and severity of the disease, age groups, centres, mortality). Two thirds of the questions of the WFH Global Survey can be answered, especially those concerning use of concentrates (global, per capita) and treatment modalities (on-demand versus prophylactic regimens). Moreover, the registry is an important tool for quality control of the haemophilia treatment centres.There are no informations about infectious diseases like hepatitis or HIV, due to non-anonymisation of the data. We plan to incorporate the results of the mutation analysis in the future.

User Evaluation of an Integrated Medical Workstation for Clinical Data Analysis

1993 ◽  
Vol 32 (05) ◽  
pp. 365-372 ◽  
Author(s):  
T. Timmeis ◽  
J. H. van Bemmel ◽  
E. M. van Mulligen
Keyword(s):  
Data Analysis ◽  
Clinical Research ◽  
Clinical Data ◽  
University Hospital ◽  
User Evaluation ◽  
Scientific Staff ◽  
Medical Institutions ◽  
Clinical Data Analysis ◽  
Research Problems ◽  
The University

AbstractResults are presented of the user evaluation of an integrated medical workstation for support of clinical research. Twenty-seven users were recruited from medical and scientific staff of the University Hospital Dijkzigt, the Faculty of Medicine of the Erasmus University Rotterdam, and from other Dutch medical institutions; and all were given a written, self-contained tutorial. Subsequently, an experiment was done in which six clinical data analysis problems had to be solved and an evaluation form was filled out. The aim of this user evaluation was to obtain insight in the benefits of integration for support of clinical data analysis for clinicians and biomedical researchers. The problems were divided into two sets, with gradually more complex problems. In the first set users were guided in a stepwise fashion to solve the problems. In the second set each stepwise problem had an open counterpart. During the evaluation, the workstation continuously recorded the user’s actions. From these results significant differences became apparent between clinicians and non-clinicians for the correctness (means 54% and 81%, respectively, p = 0.04), completeness (means 64% and 88%, respectively, p = 0.01), and number of problems solved (means 67% and 90%, respectively, p = 0.02). These differences were absent for the stepwise problems. Physicians tend to skip more problems than biomedical researchers. No statistically significant differences were found between users with and without clinical data analysis experience, for correctness (means 74% and 72%, respectively, p = 0.95), and completeness (means 82% and 79%, respectively, p = 0.40). It appeared that various clinical research problems can be solved easily with support of the workstation; the results of this experiment can be used as guidance for the development of the successor of this prototype workstation and serve as a reference for the assessment of next versions.

Doctor of Business Administration (D.B.A.): A Viable Credential for Faculty in Programmatically Accredited Business Degree Programs?

10.28945/3529 ◽  
2016 ◽  
Vol 11 ◽  
pp. 217-226 ◽  
Author(s):  
Helen L MacLennan ◽  
Anthony A Pina ◽  
Kenneth A Moran ◽  
Patrick F Hafford
Keyword(s):  
Doctoral Program ◽  
Business Administration ◽  
Academic Programs ◽  
Future Research ◽  
Degree Programs ◽  
Business Programs ◽  
Professional Degree ◽  
Doctor Of Philosophy ◽  
Business Practitioners ◽  
The University

Is the Doctor of Business Administration (D.B.A) a viable degree option for those wishing a career in academe? The D.B.A. degree is often considered to be a professional degree, in-tended for business practitioners, while the Doctor of Philosophy (Ph.D.) degree is por-trayed as the degree for preparing college or university faculty. Conversely, many academic programs market their D.B.A. programs to future academicians. In this study, we investigat-ed whether the D.B.A. is, in fact, a viable faculty credential by gathering data from univer-sity catalogs and doctoral program websites and handbooks from 427 graduate business and management programs to analyze the terminal degrees held by 6159 faculty. The analysis indicated that 173 institutions (just over 40% of the total) employed 372 faculty whose ter-minal degree was the D.B.A. This constituted just over 6% of the total number of faculty. Additionally, the program and faculty qualification standards of the six regional accrediting agencies and the three programmatic accrediting agencies for business programs (AACSB, IACBE, and ACBSP) were analyzed. Results indicated that all these accrediting agencies treated the D.B.A. and Ph.D. in business identically and that the D.B.A. was universally considered to be a valid credential for teaching business at the university level. Suggestions for future research are also offered.

scholarly journals Public Administration and Values Oriented to Sustainability: A Systematic Approach to the Literature

2021 ◽  
Vol 13 (5) ◽  
pp. 2566
Author(s):  
Isabel Marques ◽  
João Leitão ◽  
Alba Carvalho ◽  
Dina Pereira
Keyword(s):  
Public Administration ◽  
Future Research ◽  
Main Research ◽  
Sustainable Performance ◽  
Future Research Agenda ◽  
Research Collaborations ◽  
Work Area ◽  
The Social ◽  
The Usa ◽  
The University

Values guide actions and judgements, form the basis of attitudinal and behavioral processes, and have an impact on leaders’ decision-making, contributing to more sustainable performance. Through a bibliometric study and content analysis, 2038 articles were selected from Scopus, from the period 1994–2021, presenting global research tendencies on the subject of values, public administration, and sustainability. The results indicate that Sustainability is the most productive journal, the main research category is in social sciences, the most productive institution is the University of Queensland, the location with the most publications and research collaborations is the USA, and the authors with the greatest number of articles are Chung, from Chung-Ang University; García-Sánchez, from the University of Salamanca; and Pérez, from the University of Cantabria. Analysis of keywords shows that the most relevant are “sustainability”, “CSR”, “sustainable development”, “innovation”, and “leadership”. Time analysis of keywords reveals a tendency for lines of research in the social and work area. The results also provide data about the framing of studies in sustainability pillars and the types of values referred to and indicate the main areas of public administration studied. Finally, a future research agenda is proposed.

scholarly journals Survey of Saliva Components and Virus Sensors for Prevention of COVID-19 and Infectious Diseases

Biosensors ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 14
Author(s):  
Priya Dave ◽  
Roberto Rojas-Cessa ◽  
Ziqian Dong ◽  
Vatcharapan Umpaichitra
Keyword(s):  
Infectious Diseases ◽  
Dental Health ◽  
The United States ◽  
Human Saliva ◽  
Field Application ◽  
Future Research ◽  
Prevention Measures ◽  
Control And Prevention ◽  
Close Distance

The United States Centers for Disease Control and Prevention considers saliva contact the lead transmission mean of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19). Saliva droplets or aerosols expelled by sneezing, coughing, breathing, and talking may carry this virus. People in close distance may be exposed directly to these droplets or indirectly when touching the droplets that fall on surrounding surfaces and ending up contracting COVID-19 after touching the mucosa tissue of their faces. It is of great interest to quickly and effectively detect the presence of SARS-CoV-2 in an environment, but the existing methods only work in laboratory settings, to the best of our knowledge. However, it may be possible to detect the presence of saliva in the environment and proceed with prevention measures. However, detecting saliva itself has not been documented in the literature. On the other hand, many sensors that detect different organic components in saliva to monitor a person’s health and diagnose different diseases, ranging from diabetes to dental health, have been proposed and they may be used to detect the presence of saliva. This paper surveys sensors that detect organic and inorganic components of human saliva. Humidity sensors are also considered in the detection of saliva because a large portion of saliva is water. Moreover, sensors that detect infectious viruses are also included as they may also be embedded into saliva sensors for a confirmation of the presence of the virus. A classification of sensors by their working principles and the substances they detect is presented, including the sensors’ specifications, sample size, and sensitivity. Indications of which sensors are portable and suitable for field application are presented. This paper also discusses future research and challenges that must be resolved to realize practical saliva sensors. Such sensors may help minimize the spread of not only COVID-19 but also other infectious diseases.

Using Deep Learning to Understand Travel Demands in Different Urban Districts

2021 ◽  
pp. 036119812199458
Author(s):  
Shunhua Bai ◽  
Junfeng Jiao
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Prediction Accuracy ◽  
Travel Demand ◽  
Short Term Memory ◽  
Future Research ◽  
Demand Forecast ◽  
Time And Space ◽  
The University ◽  
The Impact

Travel demand forecast plays an important role in transportation planning. Classic models often predict people’s travel behavior based on the physical built environment in a linear fashion. Many scholars have tried to understand built environments’ predictive power on people’s travel behavior using big-data methods. However, few empirical studies have discussed how the impact might vary across time and space. To fill this research gap, this study used 2019 anonymous smartphone GPS data and built a long short-term memory (LSTM) recurrent neural network (RNN) to predict the daily travel demand to six destinations in Austin, Texas: downtown, the university, the airport, an inner-ring point-of-interest (POI) cluster, a suburban POI cluster, and an urban-fringe POI cluster. By comparing the prediction results, we found that: the model underestimated the traffic surge for the university in the fall semester and overestimated the demand for downtown on non-working days; the prediction accuracy for POI clusters was negatively related to their adjacency to downtown; and different POI clusters had cases of under- or overestimation on different occasions. This study reveals that the impact of destination attributes on people’s travel demand can vary across time and space because of their heterogeneous nature. Future research on travel behavior and built environment modeling should incorporate the temporal inconsistency to achieve better prediction accuracy.

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