Health and Economy in COVID-19 Era: A Plan for Reconstituting Long-Term Economic Security.

COVID-19 is a rapidly evolving pandemic, which represents a multifaceted global threat. Given the economic consequences, most researchers agree that social distancing measures are an effective strategy relative to the cost. Previous studies indicate that community size as well as viral population risk groups should be considered in forming an effective targeted social distancing strategy. The resultant delay in the occurrence of infections in order to support vaccine development has been shown to be an effective policy. However, a return to normalcy from the current situation would require policy intervention that transforms the American economy along with continued targeted social distancing and the use of medical science as a tool to facilitate gradual personal interactions of low-risk individuals. We believe that the adoption of rapid IgG testing would be best suitable for widespread population-level screening as part of a comprehensive plan for incrementally rebuilding the in-person workforce. As such, this crisis represents an opportunity for the United States to increase automation of the manufacturing sector, shrink supply chains, and create higher-level jobs in order to reduce the dependency on other countries for critical supplies. This economic transition to better utilize technology along with reconstruction of the workforce could improve the standard of living for many Americans as well as better prepare the US for future pandemics.

An Annotation Agnostic Algorithm for Detecting Nascent RNA Transcripts in GRO-Seq.

We present a fast and simple algorithm to detect nascent RNA transcription in global nuclear run-on sequencing (GRO-seq). GRO-seq is a relatively new protocol that captures nascent transcripts from actively engaged polymerase, providing a direct read-out on bona fide transcription. Most traditional assays, such as RNA-seq, measure steady state RNA levels which are affected by transcription, post-transcriptional processing, and RNA stability. GRO-seq data, however, presents unique analysis challenges that are only beginning to be addressed. Here, we describe a new algorithm, Fast Read Stitcher (FStitch), that takes advantage of two popular machine-learning techniques, hidden Markov models and logistic regression, to classify which regions of the genome are transcribed. Given a small user-defined training set, our algorithm is accurate, robust to varying read depth, annotation agnostic, and fast. Analysis of GRO-seq data without a priori need for annotation uncovers surprising new insights into several aspects of the transcription process.

Hospital costs in the US for pulmonary mycobacterial diseases.

BACKGROUND: Pulmonary mycobacterial diseases describe both tuberculosis (TB) and nontuberculous mycobacteria (NTM). Few data are available measuring the cost burden of mycobacterial diseases at the national level. The purpose of this study is to evaluate the cost burden and measure emerging trends in hospitalization of pulmonary TB and NTM cases in the United States from 2001 through 2012. METHODS: This study is a retrospective, community-based cost analysis of hospitalized patients with a principal diagnosis of pulmonary mycobacterial diseases from 2001 through 2012. Data for pulmonary TB and NTM were retrieved from the Healthcare Cost and Utilization Project (HCUP), US Department of Health and Human Services. The statistical significance of observed trends of NTM and TB national hospital costs was calculated using Poisson log-linear regression. RESULTS: 20,049 hospital discharges were reported for pulmonary NTM and 69,257 for pulmonary TB in the US from 2001 through 2012. The total associated cost of these discharges was $903,767,292 for pulmonary NTM and $2,078,113,317 for pulmonary TB. During the study period, the national hospital costs of pulmonary NTM increased at a statistically significant rate in the US over each year (P = 0.001). However, no such increase was found for national hospital costs of pulmonary TB. CONCLUSIONS: The national hospital cost of NTM management is increasing. These results emphasize the importance of continued research in pulmonary NTM in order to improve current guidelines in prevention and treatment strategies.

An exploration of the knowledge base used by Irish and U.S. child protection social workers in the assessment of intimate partner violence.

Child welfare practitioners in many countries now have increased responsibility for assessing intimate partner violence (IPV) as part of their child risk assessment process. Much research-based knowledge has accumulated about IPV and its impact on children that can inform this process. This exploratory study examined the extent to which research-based knowledge in IPV is influencing what child welfare practitioners explore in relation to IPV during their assessment process. Using a focus group format, two cohorts of child welfare practitioners, one located in Dublin County, Ireland, and one from the New York City metropolitan area, were asked what information they deem critical to explore about IPV, why they explore this content, and how they explore it. Results indicated that a wide range of information about IPV was reported as gathered by both groups, however, explicit research knowledge was not identified as a major influence for exploring these areas. Standardized IPV risk assessment instruments were also not reported as used by any of the participants. Other influences, such as practice experience, social work education, and legal or regulatory directives, had a much greater influence on the social worker's information gathering process in relation to IPV than research.

Experiences of social workers in primary care in Ireland.

This article presents the findings of research conducted with social workers in primary health care teams in Ireland. Data from questionnaires and from a focus group were analyzed. The findings draw attention to the nature of the role of the primary care social worker, including both the satisfying and challenging aspects of this role. It was evident that the participants liked the generic nature of their role and the fact that they worked with non-mandated clients. However, they encountered challenges related to resources, management structures, and interdisciplinary work. The findings shed light on an area of social work that has been under-researched.

Social impact of preventive HIV vaccine clinical trial participation: a model of prevention, assessment and intervention.

Preventive HIV vaccine trial participants may experience problems related to trial participation, including difficulties with personal relationships, employment, education, health care, housing, health insurance, disability insurance, life insurance, travel or immigration. During the 19 years that the U.S.-based National Institute of Allergy and Infectious Diseases (NIAID) has conducted preventive HIV vaccine trials, we have developed a model to prevent and resolve social impact related to study participation and assist study participants who report such events. Key elements of the model include: informing potential volunteers of risks prior to enrollment; standardizing data collection methods on social impact events; reviewing and following-up on reported social impact events; assisting participants, including provision of free HIV testing to differentiate HIV infection from vaccine-induced HIV antibody; implementing broad-based and targeted community education programs for achieving community support; communicating with scientific and health care communities; and working with government agencies, non-government agencies and industry on mechanisms to address SI. This approach, established in collaboration with NIAID-funded clinical trial groups, serves as a model for prevention, assessment, monitoring, and intervention for social impact related to preventive HIV vaccine clinical trial participation. Although further research is necessary, this model could be adapted for use in different clinical trials.