ABSTRACT
Introduction: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) RNA monitoring in wastewater has become an important tool for Coronavirus Disease 2019 (COVID-19) surveillance. Grab (quantitative) and passive samples (qualitative) are two distinct wastewater sampling methods. Although many viral concentration methods such as the usage of membrane filtration and skim milk are reported, these methods generally require large volumes of wastewater, expensive lab equipment, and laborious processes. Methods: The objectives of this study were to compare two workflows (Nanotrap® Microbiome A Particles coupled with MagMax kit and membrane filtration workflows coupled with RNeasy kit) for SARS-CoV-2 recovery in grab samples and two workflows (Nanotrap® Microbiome A Particles and skim milk workflows coupled with MagMax kit) for SARS-CoV-2 recovery in Moore swab samples. The Nanotrap particle workflow was initially evaluated with and without the addition of the enhancement reagent 1 (ER1) in 10 mL wastewater. RT-qPCR targeting the nucleocapsid protein was used for detecting SARS-CoV-2 RNA. Results: Adding ER1 to wastewater prior to viral concentration significantly improved viral concentration results (P < 0.0001) in 10 mL grab and swab samples processed by automated or manual Nanotrap workflows. SARS-CoV-2 concentrations in 10 mL grab and Moore swab samples with ER1 processed by the automated workflow as a whole showed significantly higher (P < 0.001) results than 150 mL grab samples using the membrane filtration workflow and 250 mL swab samples using the skim milk workflow, respectively. Spiking known genome copies (GC) of inactivated SARS-CoV-2 into 10 mL wastewater indicated that the limit of detection of the automated Nanotrap workflow was ~11.5 GC/mL using the RT-qPCR and 115 GC/mL using the digital PCR methods. Discussion: These results suggest that Nanotrap workflows could substitute the traditional membrane filtration and skim milk workflows for viral concentration without compromising the assay sensitivity. The manual workflow can be used in resource-limited areas, and the automated workflow is appropriate for large-scale COVID-19 wastewater-based surveillance.
ABSTRACT
While the impact of obesity on chronic disease has been widely examined, there has been less research regarding the influence of obesity on infectious diseases, particularly respiratory diseases. This exploratory research uses the currently available data on COVID-19 cases and mortality, along with estimates of the morbidly obese populations in the United States by county, to examine the association between morbid obesity and deaths from COVID-19 and to identify potential coincident spatial clusters of morbid obesity and COVID-19 deaths. Results indicate a statistically significant positive correlation between population-adjusted COVID-19 deaths and cases and the estimated population with a body mass index ≥ 40. Clustering analyses show there is a predominant similarity in the distribution of COVID-19 deaths and obesity. Our findings suggest it is critical to include an awareness of obesity when developing infectious disease control measures and point to a greater need to focus resources toward obesity education and policy initiatives.
ABSTRACT
PURPOSE: To describe and evaluate the effectiveness of an innovative model of rehabilitation designed to meet the needs of a sparsely populated rural area in South Eastern Australia. METHOD: Five rural health services collaborated to establish a rehabilitation programme. Evaluation included comparing length of stay (LOS) and improvement in the Modified Barthel Index (BI) with the Victorian State average for Level 2 (non-specialist) rehabilitation. Surveys were conducted with staff, clients and carers in the programme. RESULTS: An inpatient rehabilitation programme was successfully established through cooperation between five health services. Clients admitted to the programme improved functionally at least as well as the Victorian State average for similar client groups (BI change 26.5 compared with 22.3 points, p < 0.001), with a shorter LOS (13.8 compared with 22.3 days) but more were discharged to residential aged care (16.1% compared with 6%). CONCLUSIONS: The programme was successful in meeting its stated aims. The model described could be adopted in rural areas sharing similar characteristics. Key enablers to the success of the programme included: collaboration between hospitals; a skilled and enthusiastic leader; recruitment of allied health staff; consistent medical leadership; access to training and support from a major regional rehabilitation centre; and access to funding to enable the programme to establish itself and demonstrate outcomes for clients.
