Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance

Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in wastewater can potentially provide an early warning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA in wastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases

Globalization and Regional Change in the U.S. Furniture Industry

Furniture manufacturing has experienced rapid globalization in recent years. This is mainly the result of global production networks established by large manufacturers and retailers seeking to reduce costs in a highly competitive environment. The industry's globalization has been facilitated by technological innovations and the global reduction of trade and investment barriers. In the U.S., furniture-producing regions are experiencing tumultuous change. Growing numbers of firms are outsourcing production to China, which is now responsible for about half of all U.S. furniture imports. Employment levels have plummeted. However, an analysis of spatial patterns of employment, output, and capital investment in U.S. furniture manufacturing shows that regional change is not uniform. Southern regions characterized by larger firms specializing in wooden case goods production have been especially vulnerable to job loss. Copyright (c) 2008 Blackwell Publishing.

Chinese housing reform in state-owned enterprises and its impacts on different social groups

Housing change has been a major part of urban social and economic reform in China. Earlier research and literature on housing policy focused largely on changes which affected office workers employed by government departments and professional institutions. Relatively little attention has been given to the examination of housing reform practice in state-owned enterprises. This paper aims to enhance our understanding of the social impacts of housing reform in China. It reports findings from fieldwork carried out in four large cities; highlights the different approaches adopted by state-owned enterprises; and assesses their impacts on different categories of employees