Longitudinal and Quantitative Fecal Shedding Dynamics of SARS-CoV-2, Pepper Mild Mottle Virus and CrAssphage (preprint)

Wastewater-based epidemiology (WBE) emerged during the COVID-19 pandemic as a scalable and broadly applicable method for community-level monitoring of infectious disease burden, though the lack of high-quality, longitudinal fecal shedding data of SARS-CoV-2 and other viruses limits the interpretation and applicability of wastewater measurements. In this study, we present longitudinal, quantitative fecal shedding data for SARS-CoV-2 RNA, as well as the commonly used fecal indicators Pepper Mild Mottle Virus (PMMoV) RNA and crAss-like phage (crAssphage) DNA. The shedding trajectories from 48 SARS-CoV-2 infected individuals suggest a highly individualized, dynamic course of SARS-CoV-2 RNA fecal shedding, with individual measurements varying from below limit of detection to 2.79x10^6 gene copies/mg - dry mass of stool (gc/mg-dw). Of individuals that contributed at least 3 samples covering a range of at least 15 of the first 30 days after initial acute symptom onset, 77.4% had at least one positive SARS-CoV-2 RNA stool sample measurement. We detected PMMoV RNA in at least one sample from all individuals and in 96% (352/367) of samples overall; and measured crAssphage DNA above detection limits in 80% (38/48) of individuals and 48% (179/371) of samples. Median shedding values for PMMoV and crAssphage nucleic acids were 1x10^5 gc/mg-dw and 1.86x10^3 gc/mg-dw, respectively. These results can be used to inform and build mechanistic models to significantly broaden the potential of WBE modeling and to provide more accurate insight into SARS-CoV-2 prevalence estimates.

Remote Employee Monitoring and Management

Organizations have moved towards tracking their employees’ devices and keeping track of their work. We intend to develop a system that not only respects the privacy of employees but also helps employers manage their employees and also get a reliable productivity report. We have been able to monitor the background activities and log in the application names and their active time. The employee authentication process is implemented via a face recognition system which helps in maintaining authenticity. A total of 135 desktop apps and websites were opened while using the application and out of that 125 were successfully logged and their time was recorded accurately and productivity was calculated. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

COVID-19 Testing and the Impact of the Pandemic on the Miami Adult Studies on HIV Cohort.

BACKGROUND: Socioeconomic disadvantages and potential immunocompromise raise particular concerns for people living with HIV (PLWH) and other marginalized communities during the COVID-19 pandemic. In this study, we explored COVID-19 testing and the impact of the pandemic among participants from the Miami Adult Studies on HIV cohort, predominantly composed of low-income minorities living with and without HIV. METHODS: Between July and August 2020, a telephone survey was administered to 299 Miami Adult Studies on HIV participants to assess COVID-19 testing, prevention behaviors, and psychosocial stressors. Health care utilization, antiretroviral adherence, food insecurity, and substance use during the pandemic were compared with those of their last cohort visit (7.8 ± 2.9 months earlier). RESULTS: Half of surveyed participants had been tested for COVID-19, 8 had tested positive and 2 had been hospitalized. PLWH (n = 183) were 42% times less likely than HIV-uninfected participants to have been tested. However, after adjustment for age, employment, COVID-19 symptoms, mental health care, and substance use, the effect of HIV status was no longer significant. PLWH were more likely to have seen a health care provider, use face coverings, and avoid public transportation and less likely to be food insecure and drink hazardously. There were significant changes in substance use patterns during the pandemic when compared with those before. CONCLUSION: PLWH, compared with their HIV-uninfected peers, were more likely to engage in preventive measures and health care during the pandemic, potentially reducing their exposure to COVID-19. There were no reported changes in antiretroviral adherence or health care utilization, but there were changes in substance use; these need to be monitored as this crisis progresses.

COVID-19 Prediction from CT Scans using Deep-Learning

The COVID-19 outbreak has been world-shattering. Since the day it was discovered, it has challenged the world to develop and invent new approaches and methods to fight against it. With this being said, scientists and researchers are relentlessly working to make the situation better and easier for everybody. In this paper, we have utilised transfer learning models to learn and extract important feature vectors from a CT scan image which can prove to be beneficial in the determination of COVID-19. However, due to the limitation in the amount of CT images available publicly, it was problematic to achieve a high performance deep learning model. To overcome this, we have built a balanced dataset consisting of a total of 11,209 CT scan images combined from three different sources which helped in achieving a diverse set of images. Moreover, we have also developed our own convolutional neural network (CNN) which achieved an accuracy of 97.92% in the prediction of Covid-19. Extensive experiments demonstrate the ability and potential of our proposed approaches in achieving high performance models. VGG16 achieved a significant accuracy of 98.7% which is the highest among all the transfer learning models. © 2021 IEEE

HIV, psychological resilience, and substance misuse during the COVID-19 pandemic: A multi-cohort study.

OBJECTIVE: The COVID-19 pandemic has dramatically impacted mental health, increasing rates of substance misuse. Resilience is a positive adaptation to stress that may act as a buffer against adverse mental health outcomes. Based on prior knowledge, we hypothesized that PLWH would display higher resilience than HIV-uninfected peers, and that high resilience would be associated with lower risk of substance misuse. METHODS: This analysis of the Collaborating Consortium of Cohorts Producing NIDA Opportunities (C3PNO) included data from six USA cohorts that administered a COVID-19-related survey with a 3-month follow-up during May 2020 and March 2021. All data was self-reported. The Brief Resilience Scale and General Anxiety Disorder-7 were utilized. Primary analyses consisted of multivariate generalized linear mixed models with random intercepts using binary logistic regression. RESULTS: A total of 1430 participants completed both surveys, of whom 670 (46.9%) were PLWH. PLWH had lower odds of anxiety (OR=0.67, 95% CI: 0.51-0.89) and higher odds of high resilience (OR=1.21, 95% CI: 1.02-1.44) than HIV-uninfected participants, adjusted for covariates. The presence of anxiety was associated with higher risk of misuse of all substances. High resilience was associated with lower risk of anxiety and misuse of substances, adjusted for covariates. CONCLUSIONS: Psychological resilience was associated with lower risk of anxiety and substance misuse, potentially serving as a buffer against poor mental and behavioral health during the COVID-19 pandemic. Further research is needed to identify pathways of resilience in the context of substance misuse and comprehensive resilience-focused interventions.

Impact of Body Mass Index on Perioperative Complications and Oncologic Outcomes in Patients Undergoing Thermal Ablation for Renal Cell Carcinoma.

PURPOSE: To determine effect of body mass index (BMI) on safety and cancer-related outcomes of thermal ablation for renal cell carcinoma (RRC). MATERIALS AND METHODS: This retrospective study evaluated 427 patients (287 men and 140 women; mean [SD] age, 72 [12] y) who were treated with thermal ablation for RCC between October 2006 and December 2017. Patients were stratified by BMI into 3 categories: normal weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), and obese (≥ 30 kg/m2). Of 427 patients, 71 (16%) were normal weight, 157 (37%) were overweight, and 199 (47%) were obese. Complication rates, local recurrence, and residual disease were compared in the 3 cohorts. RESULTS: No differences in technical success between normal-weight, overweight, and obese patients were identified (P = .72). Primary technique efficacy rates for normal-weight, overweight, and obese patients were 91%, 94%, and 93% (P = .71). There was no significant difference in RCC specific-free survival, disease-free survival, and metastasis-free survival between obese, overweight, and normal-weight groups (P = .72, P = .43, P = .99). Complication rates between the 3 cohorts were similar (normal weight 4%, overweight 2%, obese 3%; P = .71). CONCLUSIONS: CT-guided renal ablation is safe, feasible, and effective regardless of BMI.

Guillain-Barré syndrome and variants associated with SARS-CoV-2 infection in Mexico

Background: To date, Mexico has more than 1,280,000 confirmed cases and more than 116,000 deaths due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Limited information is available regarding Latin American patients with Guillain-Barré syndrome (GBS) and SARS-CoV-2. Objective: The objective is to describe the presentation, diagnosis, and outcome of patients with GBS associated with SARS-CoV-2 infection. Methods: We describe four cases of GBS associated with SARS-CoV-2 infection in Mexico. Results: Neurological symptoms initiated 2-17 days after the respiratory symptoms. The age group in or patients ranged from 26 to 41 years. Two patients presented with progressive, acute, and symmetric weakness and two with bilateral facial palsy. Patients with GBS diagnosis associated with SARS-CoV-2 infection have been reported to have a good outcome after IGIV or plasma exchange therapy. Conclusion: It is important to consider GBS as a potential manifestation of SARS-CoV-2 infection and recall that the diagnosis is based mainly on clinical evaluation. Laboratory and CSF analysis, as well as neurophysiologic studies, should be considered as a complement for diagnosis. (English) [ABSTRACT FROM AUTHOR] Antecedentes: A la fecha, México tiene más de 1,280,000 casos confirmados y más de 116,000 muertes por infección por SARS-CoV-2. Se dispone de información limitada sobre los pacientes latinoamericanos con síndrome de Guillain-Barré (GBS) y SARS-CoV-2. Objetivo: El objetivo es describir la presentación, el diagnóstico y la evolución de los pacientes con síndrome de Guillain-Barré asociado a la infección por SARS-CoV-2. Métodos: Describimos cuatro casos de SGB asociados a la infección por SARS-CoV-2 en México. Resultados: Los síntomas neurológicos se iniciaron 2-17 días después de los síntomas respiratorios. El grupo de edad de los pacientes osciló entre 26 y 41 años. Dos pacientes presentaron debilidad progresiva, aguda y simétrica y dos con parálisis facial bilateral. Se ha reportado que los pacientes con diagnóstico de GBS asociado con la infección por SARS-CoV-2 tienen un buen resultado después de la terapia de recambio plasmático o IGIV Conclusión: Es importante considerar el SGB como una posible manifestación de la infección por SARS-CoV-2 y recordar que el diagnóstico se basa principalmente en la evaluación clínica. Los análisis de laboratorio y de LCR, así como los estudios neurofisiológicos, deben considerarse como un complemento del diagnóstico. (Spanish) [ABSTRACT FROM AUTHOR] Copyright of Revista Mexicana de Neurociencia is the property of Academia Mexicana de Neurologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Infection Control in Interventional Radiology During the COVID-19 Era.

The COVID-19 pandemic has challenged the capacity of interventional radiology departments worldwide to effectively treat COVID-19 and non-COVID-19 patients while preventing disease transmission among patients and healthcare workers. In this review, we describe the various data driven infection control measures implemented by the interventional radiology department of a large tertiary care center in the United States including the use and novel re-use of personal protective equipment, COVID-19 testing strategies, modifications in procedural workflows and the leveraging of telehealth visits. Herein, we provide effective triage, procedural, and management algorithms that may guide other interventional radiology departments during the ongoing COVID-19 pandemic and in future infectious disease outbreaks.