Testing Programs Research Articles

SARS-CoV-2 Variant Determination Through SNP Assays in Samples From Industry Workers From Rio de Janeiro, Brazil.

Since the first reported case in December 2019, SARS-CoV-2 infections have become a major public health worldwide. Even with the increasing vaccination in several countries and relaxing of social distancing measures, the pandemic remains a threat especially due to the emergence of new SARS-CoV-2 variants. Despite the presence of an enzyme capable of proofreading its genome, high rates of replication provide a source of accumulation of mutations within the viral genome. In this retrospective study, samples from a cohort of industry workers tested by the SESI’s COVID-19 mass testing program from September 2020 to May 2021 were analyzed using a mutation panel in order to describe the circulation of currently identified SARS-CoV-2 variants within the samples obtained in Rio de Janeiro State. Our results demonstrated that the variant of interest (VOI) Zeta has been in circulation since October 2020 and reached 87% of prevalence in February 2021 followed by a decrease due to the emergence of Gamma variant of concern (VOC). Gamma was detected in January 2021 in our studied population, and its prevalence increased during the following months, reaching absolute prevalence within positive samples in May. The Alpha variant was detected only in 4–7% of samples during March and April while Beta VOC was not detected in our study. Our data agree with sequencing genomic surveillance databases and highlight the importance of continuous mass testing programs and variant detection in order to control viral spread and guide public health measures.

Method development and evaluation for the determination of perfluoroalkyl and polyfluoroalkyl substances in multiple food matrices

ABSTRACT A method for the determination of 21 perfluorinated and 10 polyfluorinated alkyl substances (PFAS) was developed for application in different food matrices. Acetonitrile was used as the extraction solvent with solid phase extraction weak anion-exchange (SPE-WAX) clean up, with LC-MS/MS analysis using both surrogate and performance standards to correct for losses during sample preparation and matrix effects. The method has been evaluated in four different matrices (fish, pizza, chicken nuggets and spinach). Originally, the focus was to develop a method for foods commonly thought to be a source of PFASs (e.g. fish). It was expanded to include foods where PFAS exposure would be possible through their presence in grease-proof food packaging (e.g. pizza, chicken nuggets). Vegetables (lettuce) and fruit (tomato) have recently been considered as part of proficiency testing programmes, so the inclusion of some testing in a vegetable matrix (i.e. spinach) was also added to the testing. Limits of quantification ranged from 0.018 ng g−1 (L-PFDS) to 5.28 ng g−1 (FHEA), although method quantification limits for PFBA (12.4 ng g−1), 6:2 PAP (8.96 ng g−1) and 8:2 PAP (3.49 ng g−1) were elevated above instrumental limits owing to their consistent detection in reagent blank samples. PFAS analyses were strongly impacted by matrix, therefore the use of isotopically labelled internal standards was critical to the development of accurate results. The accuracy of the method using numerous proficiency testing schemes or interlaboratory comparison studies has shown the developed method to be successful with z-scores for all concerned analytes in all test matrices remaining within ±2.0, with the exception of PFBA in wheat flour which was −2.4.

Deriving Decisions from Disrupted Data

AbstractThe COVID‐19 pandemic negatively affected the quality of data from educational testing programs. These data were previously used for many important purposes ranging from placing students in instructional programs to school accountability. In this article, we draw from the research design literature to point out the limitations inherent in “disrupted” educational testing data, suggest questions and criteria to be considered in evaluating the use of such data for decision making, and indicate how such data may be valid or invalid for specific purposes. Six criteria are proposed for evaluating the degree to which educational testing data are valid for specific decisions. These criteria suggest data from COVID‐disrupted school years are not likely to be valid for accountability purposes, but may be valuable for making decisions at the individual student level. Thus, we encourage researchers and policy makers to focus on how decisions derived from such disrupted data affect children.

REDACS: Regional emergency-driven adaptive cluster sampling for effective COVID-19 management

As COVID-19 is spreading, national agencies need to monitor and track several metrics. Since we do not have perfect testing programs on the hand, one needs to develop an advanced sampling strategies for prevalence study, control and management. Here we introduce REDACS: Regional emergency-driven adaptive cluster sampling for effective COVID-19 management and control and justify its usage for COVID-19. We show its advantages over classical massive individual testing sampling plans. We also point out how regional and spatial heterogeneity underlines proper sampling. Fundamental importance of adaptive control parameters from emergency health stations and medical frontline is outlined. Since the Northern hemisphere entered Autumn and Winter season (this paper was originally submitted in November 2020), practical illustration from spatial heterogeneity of Chile (Southern hemisphere, which already experienced COVID-19 winter outbreak peak) is underlying the importance of proper regional heterogeneity of sampling plan. We explain the regional heterogeneity by microbiological backgrounds and link it to behavior of Lyapunov exponents. We also discuss screening by antigen tests from the perspective of “on the fly” biomarker validation, i.e., during the screening.

The Mysteries of the Shroud of Turin

In 1931, a professional photographer named Giuseppe Enri pointed his camera at a piece of cloth called the Shroud of Turin. How was this image formed? When was it made? Who made it? Is this an image of a real person? Could this be an image of the man known as Jesus Christ? Could this be the authentic burial cloth of Jesus? These are just a few of the questions that arise. This article provides an overview of the Shroud, including its images, history, materials, and previous testing. It also includes the author’s hypothesis to explain the main mysteries of the Shroud, including image formation, carbon dating, and features of the blood on the Shroud. The purpose of this article is to encourage the development of a program for future testing of the Shroud. There are rumors the Shroud may go on exhibition in Turin, Italy, in 2025. To help obtain authorization for further scientific testing possibly following the exhibition in 2025, a comprehensive testing program should be developed for the Shroud to take advantage of advances in technology since the last extensive testing in 1978.

Improving Aztreonam Stewardship Through a Dedicated Penicillin Allergy Testing Pharmacist

Dedicated pharmacist-led inpatient penicillin allergy testing (PAT) programs have been shown to be an effective delabeling method. We hypothesized that a dedicated PAT pharmacist incorporated into an aztreonam stewardship program results in significant reduction in use of aztreonam, a costly antibiotic.

Implementation of School-Based COVID-19 Testing Programs in Underserved Populations.

Evidence suggests that coronavirus disease 2019 (COVID-19) testing in schools can add a layer of protection to reduce the spread of Severe Acute Respiratory Syndrome Coronavirus 2 and facilitate a safer return to in-person learning. Despite this evidence, implementation of testing in school settings has been challenging initially because of a lack of funding and limited availability of testing, but, as the pandemic has progressed and more funding and resources have been devoted to testing, other implementation challenges have arisen. We describe key implementation barriers and strategies that have been operationalized across 5 projects working to help schools with predominantly underserved populations who have faced significant COVID-19-related health disparities. We leveraged a key framework from the implementation science field to identify the challenges and used a matching tool to align implementation strategies to these challenges. Our findings suggest that the biggest obstacles to COVID-19 testing were the perceived relative advantages versus burden of COVID-19 testing, limited engagement with the target beneficiaries (eg, families, students, staff), and innovation complexity. Common strategies to overcome these challenges included identifying and preparing testing champions, altering incentive and allowance structures, assessing for readiness, and identifying barriers and facilitators. We aim to augment existing implementation guidance for schools by describing common barriers and recommended solutions from the implementation science field. Our results indicate a clear need to provide implementation support to schools to facilitate COVID-19 testing as an added layered mitigation strategy.

Inflection Point: The Role of Testing in Admissions Decisions in a Postpandemic Environment

AbstractIn 2020, the onset of COVID‐19 greatly restricted access to admissions testing in higher education and required innovative solutions and flexibility such as at home testing with remote proctoring, reducing testing time, pop‐up locations, and additional testing dates. Increased focus on social justice, diversity, and fairness continued to concern admissions professionals during this time. This article is intended to provide an update (Camara) on admissions testing as we enter 2022, documenting enhancements and changes across testing programs. In addition, we report recent data and findings on applications, enrollment, and test taking, as well as the prevalence of test optional and test blind policies and its impact on score sending in undergraduate, graduate, business, law, and medical schools. It is important to note that many questions remain unanswered. Our original intent was to include more information on the impact of test‐optional polices on diversity as we thought the pandemic would be in the rear‐view mirror by now. Given the lingering effects of the pandemic, it will be critical to evaluate the impact of these policies changes on the entering class of 2021 and beyond as those data become available.

How optimal allocation of limited testing capacity changes epidemic dynamics

Insufficient testing capacity has been a critical bottleneck in the worldwide fight against COVID-19. Optimizing the deployment of limited testing resources has therefore emerged as a keystone problem in pandemic response planning. Here, we use a modified SEIR model to optimize testing strategies under a constraint of limited testing capacity. We define pre-symptomatic, asymptomatic, and symptomatic infected classes, and assume that positively tested individuals are immediately moved into quarantine. We further define two types of testing. Clinical testing focuses only on the symptomatic class. Non-clinical testing detects pre- and asymptomatic individuals from the general population, and a concentration parameter governs the degree to which such testing can be focused on high infection risk individuals. We then solve for the optimal mix of clinical and non-clinical testing as a function of both testing capacity and the concentration parameter. We find that purely clinical testing is optimal at very low testing capacities, supporting early guidance to ration tests for the sickest patients. Additionally, we find that a mix of clinical and non-clinical testing becomes optimal as testing capacity increases. At high but empirically observed testing capacities, a mix of clinical testing and non-clinical testing, even if extremely unfocused, becomes optimal. We further highlight the advantages of early implementation of testing programs, and of combining optimized testing with contact reduction interventions such as lockdowns, social distancing, and masking.

Risk factors and genotype distribution of hepatitis C virus in Georgia: A nationwide population-based survey.

In preparation for the National Hepatitis C Elimination Program in the country of Georgia, a nationwide household-based hepatitis C virus (HCV) seroprevalence survey was conducted in 2015. Data were used to estimate HCV genotype distribution and better understand potential sex-specific risk factors that contribute to HCV transmission. HCV genotype distribution by sex and reported risk factors were calculated. We used explanatory logistic regression models stratified by sex to identify behavioral and healthcare-related risk factors for HCV seropositivity, and predictive logistic regression models to identify additional variables that could help predict the presence of infection. Factors associated with HCV seropositivity in explanatory models included, among males, history of injection drug use (IDU) (aOR = 22.4, 95% CI = 12.7, 39.8) and receiving a blood transfusion (aOR = 3.6, 95% CI = 1.4, 8.8), and among females, history of receiving a blood transfusion (aOR = 4.0, 95% CI 2.1, 7.7), kidney dialysis (aOR = 7.3 95% CI 1.5, 35.3) and surgery (aOR = 1.9, 95% CI 1.1, 3.2). The male-specific predictive model additionally identified age, urban residence, and history of incarceration as factors predictive of seropositivity and were used to create a male-specific exposure index (Area under the curve [AUC] = 0.84). The female-specific predictive model had insufficient discriminatory performance to support creating an exposure index (AUC = 0.61). The most prevalent HCV genotype (GT) nationally was GT1b (40.5%), followed by GT3 (34.7%) and GT2 (23.6%). Risk factors for HCV seropositivity and distribution of HCV genotypes in Georgia vary substantially by sex. The HCV exposure index developed for males could be used to inform targeted testing programs.

Knowledge barriers in a national symptomatic-COVID-19 testing programme.

Symptomatic testing programmes are crucial to the COVID-19 pandemic response. We sought to examine United Kingdom (UK) testing rates amongst individuals with test-qualifying symptoms, and factors associated with not testing. We analysed a cohort of untested symptomatic app users (N = 1,237), nested in the Zoe COVID Symptom Study (Zoe, N = 4,394,948); and symptomatic respondents who wanted, but did not have a test (N = 1,956), drawn from a University of Maryland survey administered to Facebook users (The Global COVID-19 Trends and Impact Survey [CTIS], N = 775,746). The proportion tested among individuals with incident test-qualifying symptoms rose from ~20% to ~75% from April to December 2020 in Zoe. Testing was lower with one vs more symptoms (72.9% vs 84.6% p<0.001), or short vs long symptom duration (69.9% vs 85.4% p<0.001). 40.4% of survey respondents did not identify all three test-qualifying symptoms. Symptom identification decreased for every decade older (OR = 0.908 [95% CI 0.883-0.933]). Amongst symptomatic UMD-CTIS respondents who wanted but did not have a test, not knowing where to go was the most cited factor (32.4%); this increased for each decade older (OR = 1.207 [1.129-1.292]) and for every 4-years fewer in education (OR = 0.685 [0.599-0.783]). Despite current UK messaging on COVID-19 testing, there is a knowledge gap about when and where to test, and this may be contributing to the ~25% testing gap. Risk factors, including older age and less education, highlight potential opportunities to tailor public health messages. The testing gap may be ever larger in countries that do not have extensive, free testing, as the UK does.

National and Global Status of the High Pressure Measurement and Calibration Facilities

Rapid and increasing use of high-pressure technology in science and engineering over the last few decades has prompted researchers to look for better instruments and technologies with lower measurement uncertainties in diversified applications wherein pressure is used as one of the most crucial process parameters. The present paper discusses the succinct assessment of high-pressure metrology (HPM). A graphical summary of the various key & supplementary comparisons (K&SC) carried out in pressure metrology along with Calibration and Measurement Capabilities (CMCs) of the various National Metrology Institutes(NMIs) is also included. Also discussed are the overview of the various high-pressure measurement facilities established at CSIRNPL, India and a summary of the various Proficiency Testing (PT) Programs conducted as reference laboratory by CSIR-NPL for140 testing and calibration laboratories, accredited by the National Accreditation Board for the Testing and Calibration of Laboratories (NABL), India. The paper also briefly describes the impact of redefined SI unit of mass on the realization of the pressure scale. It is always difficult to find a concise report on all the aspects of a specific measuring parameter, high pressure in the present case, in a single window, therefore, authors believe that the present paper would be highly useful for the students, engineers, researchers, metrologists, industries, accredited laboratories, and other users.

Implementation of a COVID-19 Screening Testing Program in a Rural, Tribal Nation: Experience of the San Carlos Apache Tribe, January-February 2021.

The COVID-19 pandemic has disproportionately affected tribal populations, including the San Carlos Apache Tribe. Universal screening testing in a community using rapid antigen tests could allow for near-real-time identification of COVID-19 cases and result in reduced SARS-CoV-2 transmission. Published experiences of such testing strategies in tribal communities are lacking. Accordingly, tribal partners, with support from the Centers for Disease Control and Prevention, implemented a serial testing program using the Abbott BinaxNOW rapid antigen test in 2 tribal casinos and 1 detention center on the San Carlos Apache Indian Reservation for a 4-week pilot period from January to February 2021. Staff members at each setting, and incarcerated adults at the detention center, were tested every 3 or 4 days with BinaxNOW. During the 4-week period, 3834 tests were performed among 716 participants at the sites. Lessons learned from implementing this program included demonstrating (1) the plausibility of screening testing programs in casino and prison settings, (2) the utility of training non-laboratory personnel in rapid testing protocols that allow task shifting and reduce the workload on public health employees and laboratory staff, (3) the importance of building and strengthening partnerships with representatives from the community and public and private sectors, and (4) the need to implement systems that ensure confidentiality of test results and promote compliance among participants. Our experience and the lessons learned demonstrate that a serial rapid antigen testing strategy may be useful in work settings during the COVID-19 pandemic as schools and businesses are open for service.

Mode Effects in College Admissions Testing and Differential Speededness as a Possible Explanation

AbstractAs testing programs transition from paper to online testing, they must study mode comparability to support the exchangeability of scores from different testing modes. To that end, a series of three mode comparability studies was conducted during the 2019–2020 academic year with examinees randomly assigned to take the ACT college admissions exam on paper or online. Unlike many prior mode comparability studies, examinees testing online earned higher scores on average than examinees testing on paper, especially on the English, reading, and writing tests. Much of the observed mode effects were accounted for by items near the ends of the tests. Subsequent examination of item omit rates, differential item functioning by mode, and change‐point analyses supported the notion that the observed mode effects were related to differential speededness. Specifically, examinees testing online were slightly less speeded, and were therefore able to perform better on items near the ends of the tests. Practical implications for linking across modes, test design, and test administration conditions are discussed.

Characterizing toxicity pathways of fluoxetine to predict adverse outcomes in adult fathead minnows (Pimephales promelas)

Current ecotoxicity testing programs are impeded as they predominantly rely on slow and expensive animal tests measuring adverse outcomes. Therefore, new approach methodologies (NAMs) increasingly involve short-term mechanistic assays that employ molecular endpoints to predict adverse outcomes of regulatory relevance. This study aimed to elucidate the application of NAMs in adult fathead minnows using fluoxetine (FLX) as a model compound. Fish were exposed to three FLX concentrations (measured: 2.42, 10.7, and 56.7 μgL−1) and a control. After 96 h, molecular toxicity signatures were characterized using proteomics and transcriptomics analyses in livers and brains of a sub-set of fish. The remaining fish were sampled at 21 days and assessed for liver histopathology and morphometric measurements. Fecundity was monitored throughout the study. In the livers, 56.7 μgL−1 FLX caused enrichment of PPAR signaling in the proteome and fatty acid-related pathways in the transcriptome, potential upstream responses that led to lipid-type vacuolation of hepatocytes, observed via histopathology. Upregulated genes in the brain suggested alterations in serotonin-related signaling processes and reproductive behaviour, which may explain the observed significant decrease in fecundity. While the relationships between molecular responses and adverse outcomes remain complex, this research provided important insights into the mechanistic toxicity of FLX.

Predicting daily COVID-19 case rates from SARS-CoV-2 RNA concentrations across a diversity of wastewater catchments.

We assessed the relationship between municipality COVID-19 case rates and SARS-CoV-2 concentrations in the primary sludge of corresponding wastewater treatment facilities. Over 1700 daily primary sludge samples were collected from six wastewater treatment facilities with catchments serving 18 cities and towns in the State of Connecticut, USA. Samples were analyzed for SARS-CoV-2 RNA concentrations during a 10 month time period that overlapped with October 2020 and winter/spring 2021 COVID-19 outbreaks in each municipality. We fit lagged regression models to estimate reported case rates in the six municipalities from SARS-CoV-2 RNA concentrations collected daily from corresponding wastewater treatment facilities. Results demonstrate the ability of SARS-CoV-2 RNA concentrations in primary sludge to estimate COVID-19 reported case rates across treatment facilities and wastewater catchments, with coverage probabilities ranging from 0.94 to 0.96. Lags of 0 to 1 days resulted in the greatest predictive power for the model. Leave-one-out cross validation suggests that the model can be broadly applied to wastewater catchments that range in more than one order of magnitude in population served. The close relationship between case rates and SARS-CoV-2 concentrations demonstrates the utility of using primary sludge samples for monitoring COVID-19 outbreak dynamics. Estimating case rates from wastewater data can be useful in locations with limited testing availability, testing disparities, or delays in individual COVID-19 testing programs.

A Longitudinal Study on the Influence of Sibling Support and HIV Testing Among Black Youth.

Healthy familial relationships have been noted as protective against HIV infection among the Black youth. Previous studies have indicated that sibling relationships are important over the life course and may have a significant influence on health behaviors and health promotion. However, the specific interaction between sibling relationships, HIV prevention, and HIV testing is underexplored. This longitudinal study aims to examine the role of sibling relationships, healthcare providers, and other contextual factors on HIV testing. This study was conducted via the secondary analysis of data from the National Longitudinal Study of Adolescent to Adult Health evaluating the health of adolescents. The analysis included Black youth from Wave 1 and 3 (N = 509) with a mean age of 16years. A multinomial analysis evaluated the association of sibling relationships on HIV testing. In Wave 1, youth who reported having love for their sibling were 1.90 (p < .001) times more likely to test for HIV infection than those who reported no love for their sibling. In Wave 1 and 3, the youth who reported no sibling support was 89% (p < .001) less likely to get tested for HIV more than once. This study's findings show that sibling relationships have a significant positive influence on HIV testing among Black youth, and they are a protective factor against HIV transmission. These findings are essential in structuring HIV testing programs and interventions tailored to Black youth.

Assessing the Impacts of HIV/AIDS Programmes on Sexual Health among the Youths of Obiyebe Community in Ogba/Ebgema/Ndoni Local Government Area of Rivers State

This study assessed the impacts of HIV/AIDS programmes on sexual health among youths of Obiyebe community in Ogba/Egbema/Ndoni LGA of Rivers State. The purpose of the study was to identify HIV/AIDS programmes on sexual health, to assess the knowledge of HIV/AIDS programmes on sexual health among the youths and to examine the impacts of HIV/AIDS programmes on sexual health among youths. The study adopted a descriptive survey study design with a sample size of 83 participants which are selected through a simple random sampling technique. A structured questionnaire was used as the instrument for data collection, while a frequency table and simple percentage were used as the instrument for data analysis. The findings of the study revealed that HIV/AIDS programmes on sexual health are; HIV/AIDS testing programmes, HIV/AIDS treatment programmes, HIV/AIDS prevention programmes, and United Nations Programmes on HIV/AIDS (UNAIDS). Another finding of the study showed that sexuality, condoms, sexual anatomy and sex, and adolescence sexual features and puberty are the knowledge of sexual health among the youths that enhance their good sexual health and prevention of HIV/AIDS. Again the study revealed that the impacts of HIV/AIDS programmes on the sexual health of the youths were that their understanding of sexuality is increased, they understand the importance of using condoms if sexually active, there is a reduction in unwanted teenage pregnancies, they are informed of their normal sexual features development, puberty, reproductive anatomy and physiology, they are informed of the option to delay sexual activity until they are ready (matured), and there is a reduction of new HIV/AIDS/ other STI infections. The study made some recommendations and suggestions.

Northeastern Conference on Avian Diseases from 1928-2021: 93 Years of Contributions to Organized Avian Medicine.

Bacillary white diarrhea in chickens was a major disease concern for the poultry industry during the early 1900s. Drs. L. F. Rettger and W. R. Hinshaw organized a meeting in 1928 to discuss methods for controlling this disease. In this meeting, representatives of five northeastern states discussed approaches to test for the presence of the etiological agent of bacillary white diarrhea, namely, Salmonella enterica subsp. enterica serovar Pullorum. Meeting attendees decided to have a yearly meeting of the Northeastern Conference of Laboratory Workers in Bacillary White Diarrhea. The next year, the name was changed to Conference of Laboratory Workers in Pullorum Disease Eradication, which was changed to Northeastern Conference on Avian Diseases (NECAD) in 1957. Not only has NECAD been important for the control of pullorum disease but also, starting with the fifth Annual Conference in 1932, other poultry diseases became an official part of the program. As such, NECAD served for a long time as the premier organization to present new information on avian diseases. The success of NECAD was based on the work of the many committees, which are described in detail in this review. For example, the antigen committee started officially in 1929 and remained active until at least 1987. The main task of this committee was to evaluate Salmonella Pullorum strains to be used by all participants in the pullorum antibody testing programs. NECAD started as a closed organization with participants from universities and government organizations but did not allow representatives from commercial groups until 1968 when all American Association of Avian Pathologists (AAAP) members in the Northeastern United States could participate. The journal Avian Diseases started with discussions by Dr. P. P. Levine with M. S. Cover, H. L. Chute, R. F. Gentry, E. Jungherr, and H. Van Roekel about the idea that NECAD would sponsor a journal dealing specifically with avian diseases. During the first few years of Avian Diseases publication, many articles including abstracts came from the NECAD Annual Conferences. The importance of NECAD as a precursor for other regional meetings and the AAAP and as a forum for graduate students to present their research are described. Several recipients of the award for the best paper presented by a graduate student have continued to work in avian disease research. The decline in the participation of scientists in the late 1990s and early 2000s was discussed extensively in 2006 and led to a merger of the NECAD meeting with the Pennsylvania Poultry Sales and Service Conference. Due to the COVID-19 pandemic, the 92nd Annual Conference was a virtual meeting in 2020. Fortunately, the 93rd Annual Conference in 2021 was an in-person meeting held in State College, PA.

Modelling of Environmental Ageing of Polymers and Polymer Composites-Modular and Multiscale Methods.

Service lifetimes of polymers and polymer composites are impacted by environmental ageing. The validation of new composites and their environmental durability involves costly testing programs, thus calling for more affordable and safe alternatives, and modelling is seen as such an alternative. The state-of-the-art models are systematized in this work. The review offers a comprehensive overview of the modular and multiscale modelling approaches. These approaches provide means to predict the environmental ageing and degradation of polymers and polymer composites. Furthermore, the systematization of methods and models presented herein leads to a deeper and reliable understanding of the physical and chemical principles of environmental ageing. As a result, it provides better confidence in the modelling methods for predicting the environmental durability of polymeric materials and fibre-reinforced composites.