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The outbreak of coronavirus infectious disease-2019 (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has rapidly spread throughout the world. Several studies have shown that detecting SARS-CoV-2 in untreated wastewater can be a useful tool to identify new outbreaks, establish outbreak trends, and assess the prevalence of infections. On 06 May 2021, over a year into the pandemic, we conducted a scoping review aiming to summarize research data on SARS-CoV-2 in sewage. Papers dealing with raw sewage collected at wastewater treatment plants, sewer networks, septic tanks, and sludge treatment facilities were included in this review. We also reviewed studies on sewage collected in community settings such as private or municipal hospitals, healthcare facilities, nursing homes, dormitories, campuses, airports, aircraft, and cruise ships. The literature search was conducted using the electronic databases PubMed, EMBASE, and Web Science Core Collection. This comprehensive research yielded 1090 results, 66 of which met the inclusion criteria and are discussed in this review. Studies from 26 countries worldwide have investigated the occurrence of SARS-CoV-2 in sewage of different origin. The percentage of positive samples in sewage ranged from 11.6 to 100%, with viral concentrations ranging from ˂LOD to 4.6 × 108 genome copies/L. This review outlines the evidence currently available on wastewater surveillance: (i) as an early warning system capable of predicting COVID-19 outbreaks days or weeks before clinical cases; (ii) as a tool capable of establishing trends in current outbreaks; (iii) estimating the prevalence of infections; and (iv) studying SARS-CoV-2 genetic diversity. In conclusion, as a cost-effective, rapid, and reliable source of information on the spread of SARS-CoV-2 and its variants in the population, wastewater surveillance can enhance genomic and epidemiological surveillance with independent and complementary data to inform public health decision-making during the ongoing pandemic. Graphic Abstract Supplementary Information The online version contains supplementary material available at 10.1007/s12560-021-09498-6.

People living with HIV (PLWH) are at greater risk for severe COVID-19 and are a priority population for COVID-19 vaccination. As of June 15, 2021, 61.6% of PLWH in Oregon received ≥ 1 COVID-19 vaccine dose. Younger PLWH, Hispanic/Latinx PLWH and PLWH who inject drugs or reside in rural and frontier areas had low vaccine uptake while PLWH who were engaged in care, enrolled in the AIDS Drug Assistance Program, and vaccinated against influenza had high vaccine uptake. Greater advocacy, education, and care navigation are required to increase COVID-19 vaccine access and uptake among PLWH. Supplementary Information The online version contains supplementary material available at 10.1007/s10461-021-03570-9.

Smoking during pregnancy remains one of the most significant risk factors for poor birth outcomes. During 2012-2019, the Loma Linda University Health Comprehensive Tobacco Treatment Program (CTTP) used a multicomponent behavioral intervention for tobacco cessation for 1402 pregnant smokers with components of known efficacy (i.e., incentives, biomarker testing, feedback, and motivational interviewing). The CTTP cohort includes a multi-ethnic sample of pregnant women with a mean age of 27 years referred by collaborating community-based healthcare providers in San Bernardino county. Evaluation of program outcomes from 7 years of follow-up (2012-2019) creates a rich cohort dataset for implementation science research to examine the real-world effectiveness of the program. In this report, we provide a cohort profile, and 8-week prolonged abstinence (8-week PA) and relapse findings from the first year of follow-up (n = 233). We found: (1) 28.4% achieved 8-week PA, (2) At a median of 6.2 months of follow-up after achieving 8-week PA, 23.2% of enrolled subjects reported tobacco cessation, and (3) a high rate of loss to follow-up (44%). In addition, our modeling indicated that the odds of relapse/smoking after enrollment was significantly higher in young mothers, non-Hispanic mothers (White, Black/African-American), mothers in the first and third trimester, and rural mothers. Formative quantitative and qualitative research on the CTTP cohort will consider the effects of a range of implementation science (number of intervention sessions, addition of a mHealth component, distance to care) and individual (partner/household smoking, birth outcomes, NICU) outcome measures for the purpose of scaling up the CTTP model.

We present an integrative review of existing marketing research on mobile apps, clarifying and expanding what is known around how apps shape customer experiences and value across iterative customer journeys, leading to the attainment of competitive advantage, via apps (in instances of apps attached to an existing brand) and for apps (when the app is the brand). To synthetize relevant knowledge, we integrate different conceptual bases into a unified framework, which simplifies the results of an in-depth bibliographic analysis of 471 studies. The synthesis advances marketing research by combining customer experience, customer journey, value creation and co-creation, digital customer orientation, market orientation, and competitive advantage. This integration of knowledge also furthers scientific marketing research on apps, facilitating future developments on the topic and promoting expertise exchange between academia and industry. Refereed/Peer-reviewed

Work completed since the pandemic began has repeatedly demonstrated elevated mortality rates in people with schizophrenia hospitalized with COVID. They are a vulnerable group due to multiple issues-for example high co-morbidity rates of medical illness, often impaired insight and judgment, barriers to obtaining health care, and trouble understanding and implementing preventive measures. The objective of this study was to evaluate if a diagnosis of schizophrenia in the context of COVID-19 requiring hospitalization increased the risk for people with a diagnosis of schizophrenia to be intubated, admitted to the ICU or die when compared to people hospitalized with COVID-19 who did not have schizophrenia. This was accomplished by doing a retrospective chart review of 123 people with schizophrenia and matched controls. Although we found elevated rates of these outcomes in the patients with schizophrenia, our analysis attributed these differences to congregate living, rather than the illness itself.

Associations between social determinants of health (SDOH), demographic factors including preferred language, and SARS-CoV-2 detection are not clear. We conducted a retrospective cohort study among those seeking testing for SARS-CoV-2 at a multi-site, urban community health center. Logistic regression and exact matching methods were used to identify independent predictors of SARS-CoV-2 detection among demographic, SDOH, and neighborhood-level variables. Of 1,361 included individuals, SARS-CoV-2 was detected among 266 (19.5%). Logistic regression demonstrated that SARS-CoV-2 detection was less likely in White participants relative to Hispanic participants (adjusted odds ratio [aOR] 0.18, 95% confidence interval [CI] 0.05-0.46). and more likely in patients who prefer Spanish relative to those that prefer English (aOR 2.04, 95% CI 1.43-2.96). No observed SDOH predicted SARS-CoV-2 detection in adjusted models. A robustness analysis using a matched subset of the study sample produced findings similar to those in the main analysis. Preferring to receive care in Spanish is an independent predictor of SARS-CoV-2 detection in a community health center cohort.

Given its ubiquitous nature, sport events are one of the most popular venues for episodic volunteering around the world. This article explores the rare dataset of volunteering in sport events in seven countries-Finland, Ghana, India, Japan, Switzerland, Tanzania, United States-to overview the differences and similarities identified in demography, volunteers' reactions to hosts' management strategies, satisfaction, and intention to volunteer again. Key findings include differences in the level of satisfaction, where responses among American volunteers were the highest. We also find that although well-organized management strategies such as quality training, communication, and proper appreciation led to higher satisfaction, these factors did not contribute to volunteers' intent to volunteer again. Such management style might be too impersonal with less autonomy on the part of volunteers that they may not feel needed in future events. Somewhat messy management might motivate volunteers to participate again.

The current pandemic of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is a global, unanticipated public health crisis. Another emerging challenge is the prevalence of "black fungus", or mucormycosis, among patients who recovered from COVID-19 infection. A retrospective study was conducted on 12 patients in a post-COVID recovery phase who developed mucormycosis. The study parameters evaluated lymphocyte count, CD4+ T cell status, and associated systemic co-morbidities for the patient, namely diabetes. The interventions during the treatment for COVID were also recorded to include administration of oxygen, ventilator assistance (invasive and non-invasive)/oxygen support, and steroid use. The possible relationship between low lymphocyte and CD4+ counts with diabetes and fungal growth was evaluated. It was observed that the majority of the patients who had a positive history for diabetes with low lymphocyte and CD4+ counts were more susceptible to opportunistic fungal infections. Most of the patients, but not all, had a history of receiving oxygen or assisted ventilation, as well as steroids, during the treatment for COVID infection. These interventions may be considered as accessory contributing factors for fungal infection. Post-exposure to SARS-CoV-2, therapies should be targeted at prevention of functional exhaustion of lymphocytes and maintaining optimal lymphocyte and subset counts in susceptible hosts for the prevention of opportunistic fungal infections. The relationship between functional exhaustion of the lymphocyte, diabetes, and COVID mandates further research.

During crises such as the present coronavirus disease-19 (COVID-19) pandemic, nonprofits play a key role in ensuring support to improve the most vulnerable individuals’ health, social, and economic conditions. One year into the COVID-19 pandemic, an extensive automated literature analysis was conducted of 154 academic articles on nonprofit management during the pandemic—all of which were published in 2020. This study sought to identify and systematize academics’ contributions to knowledge about the crisis’s impact on the nonprofit sector and to ascertain the most urgent directions for future research. The results provide policymakers, nonprofit practitioners, and scholars an overview of the themes addressed and highlight the important assistance academic researchers provide to nonprofits dealing with the COVID-19 pandemic. Supplementary Information The online version contains supplementary material available at 10.1007/s11266-021-00432-9.

Corona Virus continues to harms its effects on the people lives across the globe. The screening of infected persons has to be identified is a vital step because it is a fast and low-cost way. Certain above mentioned things can be recognized by chest X-ray images that plays a significant role and also used for examining in detection of CORONA VIRUS(COVID-19). Here radiological chest X-rays are easily available with low cost only. In this survey paper, Convolutional Neural Network(CNN) based solution that will benefit in detection of the Covid-19 positive patients using radiography chest X-Ray images. To test the efficiency of the solution, using data sets of publicly available X-Ray images of Corona virus positive cases and negative cases. Images of positive Corona Virus patients and pictures of healthy person images are divided into testing images and trainable images. The solution which are providing the good results with classification accuracy within the test set-up. Then GUI based application supports for medical examination areas. This GUI application can be used on any computer and performed by any medical examiner or technician to determine Corona Virus positive patients using radiography X-ray images. The result will be precisely obtaining the Covid-19 Patient analysis through the chest X-ray images and also results may be retrieve within a few seconds.

Purpose of the Review Iron deficiency in heart failure has been associated with impaired functional capacity and quality of life. The purpose of this paper is to review mechanisms of iron homeostasis and current clinical data exploring mechanisms of iron repletion in heart failure. Recent Finding Multiple international societies now advise iron repletion for symptomatic heart failure patients with iron deficiency. Due to the chronic inflammation in heart failure, iron deficiency in heart failure is classically defined as ferritin

Background One anastomosis gastric bypass (OAGB) is now a mainstream bariatric procedure. Refractory gastroesophageal reflux is a significant complication following OAGB, and conversion to Roux-en-Y has long been the treatment of choice for this issue. Strengthening the lower esophageal sphincter by Nissen fundoplication (NF) has been reported as an effective anti-reflux surgery. Here we report the short-term outcomes of a modified NF procedure using the excluded stomach (excluded stomach fundoplication—ESF) to treat refractory bile reflux in post-OAGB patients. Methods Thirteen post-OAGB patients underwent ESF for refractory bile reflux during the study, as detailed in the surgical technique. This paper reports the 12 patients whose follow-up data are available. Results Following ESF, the GERD-HRQL heartburn score improved from 22.7 ± 3.9 to 1.8 ± 3.5 (p p p < 0.05). One patient was returned to the operating theatre to have the wrap loosened due to dysphagia. Eleven patients did not require PPIs after surgery. Conclusions ESF significantly improved the VISICK score and GERD-HRQL of post-OAGB patients with refractory bile reflux in the short term. The current study is being continued to increase the sample size and the follow-up period.

The increasing relevance of societal challenges has recently brought social entrepreneurship to the fore due to its capacity to leverage entrepreneurial processes to achieve social value while ensuring profits. In this study, we apply an experimental research method to analyse the concept of social entrepreneurship comprehensively. More specifically, we develop bibliometric analysis and web crawling techniques to gather information related to social entrepreneurship from Scopus and Wikipedia. We conduct a comparative network analysis of social entrepreneurship’s conceptual structure at academic and non-academic levels. This analysis has been performed considering scientific articles’ keywords and Wikipedia webpages’ co-occurrences, enabling us to identify four different thematic clusters in both cases. Moreover, plotting the centrality and density of each cluster on a bi-dimensional matrix, we have sketched a strategic diagram and provided the thematic evolution of this research topic, based on the level of interaction among clusters, and the degree of cohesion of keywords in each cluster. This paper represents one of the first attempts in the entrepreneurship literature to shed light on the conceptual boundaries of a research topic based on the analysis of both a scientific and an open-source knowledge database. Our results reveal similarities and discrepancies between those two different sources of knowledge, and outline avenues for future studies at the intersection between social entrepreneurship and the research domains of digital transformation, performance measurement, entrepreneurial ecosystems, and ethics. We also call for a further conceptualisation of social entrepreneurship in the face of the increasing complexity that characterises grand challenges. Supplementary information The online version contains supplementary material available at 10.1007/s11365-021-00783-1.

In equity crowdfunding, firms raise capital online from a large pool of heterogeneous investors, thereby providing primary market opportunities similar to traditional public markets, such as initial public offerings. The development of secondary markets is instead still limited, making the post-offering perspectives of both crowdfunding investors and firms closer to private equity deals. We believe that equity crowdfunding markets provide an interesting setting where to test existing corporate finance and financial economics theories, as well as to develop new theoretical insights. Relatedly, our understanding of crowdfunding mechanisms can largely benefit from increased attention from finance scholars. This paper and special issue are an attempt in this direction.

A wireless wearable sensor on a paper substrate was used to continuously monitor respiratory behavior that can extract and deliver clinically relevant respiratory parameters to a smartphone. Intended to be placed horizontally at the midpoint of the costal margin and the xiphoid process as determined through anatomical analysis and experimental test, the wearable sensor is compact at only 40 × 35 × 6 mm3 in size and 6.5 g weight including a 2.7 g lithium battery. The wearable sensor, consisting of an ultrasound emitter, an ultrasound receiver, wireless transmission system, and associated data acquisition, measures the linear change in circumference at the attachment location by recording and analyzing the changes in ultrasound pressure as the distance between the emitter and the receiver changes. Changes in ultrasound pressure corresponding to linear strain are converted to temporal lung volume data and are wirelessly transmitted to an associated custom-designed smartphone app. Processing the received data, the mobile app is able to display the temporal volume trace and the flow rate vs. volume loop graphs, which are standard plots used to analyze respiration. From the plots, the app is able to extract and display clinically relevant respiration parameters, including forced expiratory volume delivered in the first second of expiration (FEV1) and forced vital capacity (FVC). The sensor was evaluated with eight volunteers, showing a mean difference of the FEV1/FVC ratio as bounded by 0.00-4.25% when compared to the industry-standard spirometer results. By enabling continuous tracking of respiratory behavioral parameters, the wireless wearable sensor helps monitor the progression of chronic respiratory illnesses, including providing warnings to asthma patients and caregivers to pursue necessary medical assistance.