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1.
Diana Rose E Ranoa; Robin L Holland; Fadi G Alnaji; Kelsie J Green; Leyi Wang; Richard L Fredrickson; Tong Wang; George N Wong; Johnny Uelmen; Sergei Maslov; Ahmed Elbanna; Zachary J Weiner; Alexei V Tkachenko; Hantao Zhang; Zhiru Liu; Sanjay J Patel; John M Paul; Nickolas P Vance; Joseph G Gulick; Sandeep P Satheesan; Isaac J Galvan; Andrew Miller; Joseph Grohens; Todd J Nelson; Mary P Stevens; P. Mark Hennessy; Robert C Parker; Edward Santos; Charles Brackett; Julie D Steinman; Melvin R Fenner Jr.; Kristin Dohrer; Kraig Wagenecht; Michael DeLorenzo; Laura Wilhelm-Barr; Brian R Brauer; Catherine Best-Popescu; Gary Durack; Nathan Wetter; David M Kranz; Jessica Breitbarth; Charlie Simpson; Julie A Pryde; Robin N Kaler; Chris Harris; Allison C Vance; Jodi L Silotto; Mark Johnson; Enrique Valera; Patricia K Anton; Lowa Mwilambwe; Stephen B Bryan; Deborah S Stone; Danita B Young; Wanda E Ward; John Lantz; John A Vozenilek; Rashid Bashir; Jeffrey S Moore; Mayank Garg; Julian C Cooper; Gillian Snyder; Michelle H Lore; Dustin L Yocum; Neal J Cohen; Jan E Novakofski; Melanie J Loots; Randy L Ballard; Mark Band; Kayla M Banks; Joseph D Barnes; Iuliana Bentea; Jessica Black; Jeremy Busch; Hannah Christensen; Abigail Conte; Madison Conte; Michael Curry; Jennifer Eardley; April Edwards; Therese Eggett; Judes Fleurimont; Delaney Foster; Bruce W Fouke; Nicholas Gallagher; Nicole Gastala; Scott A Genung; Declan Glueck; Brittani Gray; Andrew Greta; Robert M Healy; Ashley Hetrick; Arianna A Holterman; Nahed Ismail; Ian Jasenof; Patrick Kelly; Aaron Kielbasa; Teresa Kiesel; Lorenzo M Kindle; Rhonda L Lipking; Yukari C Manabe; Jade ? Mayes; Reubin McGuffin; Kenton G McHenry; Agha Mirza; Jada Moseley; Heba H Mostafa; Melody Mumford; Kathleen Munoz; Arika D Murray; Moira Nolan; Nil A Parikh; Andrew Pekosz; Janna Pflugmacher; Janise M Phillips; Collin Pitts; Mark C Potter; James Quisenberry; Janelle Rear; Matthew L Robinson; Edith Rosillo; Leslie N Rye; MaryEllen Sherwood; Anna Simon; Jamie M Singson; Carly Skadden; Tina H Skelton; Charlie Smith; Mary Stech; Ryan Thomas; Matthew A Tomaszewski; Erika A Tyburski; Scott Vanwingerden; Evette Vlach; Ronald S Watkins; Karriem Watson; Karen C White; Timothy L Killeen; Robert J Jones; Andreas C Cangellaris; Susan A Martinis; Awais Vaid; Christopher B Brooke; Joseph T Walsh; William C Sullivan; Rebecca L Smith; Nigel D Goldenfeld; Timothy M Fan; Paul J Hergenrother; Martin D Burke.
Preprint in English | medRxiv | ID: ppmedrxiv-21261548

ABSTRACT

In the Fall of 2020, many universities saw extensive transmission of SARS-CoV-2 among their populations, threatening the health of students, faculty and staff, the viability of in-person instruction, and the health of surrounding communities.1, 2 Here we report that a multimodal "SHIELD: Target, Test, and Tell" program mitigated the spread of SARS-CoV-2 at a large public university, prevented community transmission, and allowed continuation of in-person classes amidst the pandemic. The program combines epidemiological modelling and surveillance (Target); fast and frequent testing using a novel and FDA Emergency Use Authorized low-cost and scalable saliva-based RT-qPCR assay for SARS-CoV-2 that bypasses RNA extraction, called covidSHIELD (Test); and digital tools that communicate test results, notify of potential exposures, and promote compliance with public health mandates (Tell). These elements were combined with masks, social distancing, and robust education efforts. In Fall 2020, we performed more than 1,000,000 covidSHIELD tests while keeping classrooms, laboratories, and many other university activities open. Generally, our case positivity rates remained less than 0.5%, we prevented transmission from our students to our faculty and staff, and data indicate that we had no spread in our classrooms or research laboratories. During this fall semester, we had zero COVID-19-related hospitalizations or deaths amongst our university community. We also prevented transmission from our university community to the surrounding Champaign County community. Our experience demonstrates that multimodal transmission mitigation programs can enable university communities to achieve such outcomes until widespread vaccination against COVID-19 is achieved, and provides a roadmap for how future pandemics can be addressed.

2.
Preprint in English | medRxiv | ID: ppmedrxiv-21255490

ABSTRACT

BackgroundIn response to the COVID-19 pandemic, expectant parents experienced changes in the availability and uptake of both NHS community and hospital-based healthcare. ObjectiveTo examine how COVID-19 and its societal related restrictions have impacted the provision of healthcare support for pregnant women during the COVID-19 pandemic. MethodA thematic analysis using an inductive approach was undertaken of data from open-ended responses using data from the national COVID in Context of Pregnancy, Infancy and Parenting (CoCoPIP) Study online survey (N = 507 families). ResultsThe overarching theme identified was the way in which the changes to healthcare provision increased parents anxiety levels, and feelings of not being supported. Five sub-themes, associated with the first wave of the pandemic, were identified: (1) rushed and/or fewer antenatal appointments, (2) lack of sympathy from healthcare workers, (3) lack of face-to-face appointments, (4) requirement to attend appointments without a partner, and (5) requirement to use PPE. A sentiment analysis, that used quantitative techniques, revealed participant responses to be predominantly negative (50.1%), with a smaller proportion of positive (21.8%) and neutral (28.1%) responses found. ConclusionThis study provides evidence indicating that the changes to healthcare services for pregnant women during the pandemic increased feelings of anxiety and have left women feeling inadequately supported. Our findings highlight the need for compensatory social and emotional support for new and expectant parents while COVID-19 related restrictions continue to impact on family life and society.

3.
Preprint in English | medRxiv | ID: ppmedrxiv-20243691

ABSTRACT

IntroductionThe novel coronavirus SARS-CoV2 and the associated disease, Covid-19, continue to pose a global health threat. The CovidCalculatorUK is an open-source online tool (covidcalculatoruk.org) that estimates the probability that an individual patient, who presents to a UK hospital, will later test positive for SARS-CoV2. The objective is to aid cohorting decisions and minimise nosocomial transmission of SARS-CoV2. MethodsThis n = 500 prospective, observational, multicentre, validation study compared the CovidCalculatorUKs estimated probability of Covid-19 with the first SARS-CoV2 oropharyngeal/nasopharyngeal swab result for individual patients admitted to hospital during the study period (01.04.20 - 18.05.20). A comparison with senior clinicians estimates of the probability of Covid-19 was also made. ResultsPatients who were prospectively grouped, by the CovidCalculatorUK, into 0-30% estimated probability, 30-60% and 60-100% estimated probability went on to have first swab SARS-CoV2 positive results in: 15.7%, 30.5% and 61.9% of cases, respectively. CovidCalculatorUK performance demonstrated an area under the curve of 0.76 (95% CI 0.71 - 0.81) (p < 0.001). Senior clinician stratification of the estimated probability of Covid-19 performed similarly to the CovidCalculatorUK. ConclusionThe CovidCalculatorUK provides a reasonably accurate estimate of the probability of an individual testing positive on their first SARS-CoV2 nasopharyngeal/oropharyngeal swab. The CovidCalculatorUK output performs similarly to a senior clinicians estimate. Further evolution of the calculator may improve performance.

4.
Preprint in English | medRxiv | ID: ppmedrxiv-20232678

ABSTRACT

The COVID-19 pandemic has underscored the shortcomings in the deployment of state-of-the-art diagnostic platforms. Although several PCR-based techniques have been rapidly developed to meet the growing testing needs, such techniques often need samples collected through a swab, the use of RNA extraction kits, and expensive thermocyclers in order to successfully perform the test. Isothermal amplification-based approaches have also been recently demonstrated for rapid SARS-CoV-2 detection by minimizing sample preparation while also reducing the instrumentation and reaction complexity. There are limited reports of saliva as the sample source and some of these indicate inferior sensitivity when comparing RT-LAMP with PCR-based techniques. In this paper, we demonstrate an improved sensitivity assay to test saliva using a 2-step RT-LAMP assay, where a short 10-minute RT step is performed with only B3 and BIP primers before the final reaction. We show that while the 1-step RT-LAMP demonstrate satisfactory results, the optimized 2-step approach allows for single molecule sensitivity per reaction and performs significantly better than the 1-step RT-LAMP and conventional 2-step RT-LAMP approaches with all primers included in the RT Step. Importantly, we demonstrate RNA extraction-free RT-LAMP based assays for detection of SARS-CoV-2 from VTM and saliva clinical samples.

5.
Preprint in English | medRxiv | ID: ppmedrxiv-20071373

ABSTRACT

The emergence of the novel coronavirus SARS-CoV-2 has led to a pandemic infecting more than two million people worldwide in less than four months, posing a major threat to healthcare systems. This is compounded by the shortage of available tests causing numerous healthcare workers to unnecessarily self-isolate. We provide a roadmap instructing how a research institute can be repurposed in the midst of this crisis, in collaboration with partner hospitals and an established diagnostic laboratory, harnessing existing expertise in virus handling, robotics, PCR, and data science to derive a rapid, high throughput diagnostic testing pipeline for detecting SARS-CoV-2 in patients with suspected COVID-19. The pipeline is used to detect SARS-CoV-2 from combined nose-throat swabs and endotracheal secretions/ bronchoalveolar lavage fluid. Notably, it relies on a series of in-house buffers for virus inactivation and the extraction of viral RNA, thereby reducing the dependency on commercial suppliers at times of global shortage. We use a commercial RT-PCR assay, from BGI, and results are reported with a bespoke online web application that integrates with the healthcare digital system. This strategy facilitates the remote reporting of thousands of samples a day with a turnaround time of under 24 hours, universally applicable to laboratories worldwide.

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