Balancing public health and group privacy: Ethics, rights, and obligations for wastewater surveillance systems.

As the threat of COVID-19 recedes, wastewater surveillance - unlike other pandemic-era public health surveillance methods - seems here to stay. Concerns have been raised, however, about the potential risks that wastewater surveillance might pose towards group privacy. Existing scholarship has focused upon using ethics- or human rights-based frameworks as a means of balancing the public health objectives of wastewater surveillance and the potential risks it might pose to group privacy. However, such frameworks greatly lack enforceability. In order to further the strong foundation laid by such frameworks - while addressing their lack of enforceability - this paper proposes the idea of the 'obligation' as an alternative way to regulate wastewater surveillance systems. The legal codification of said obligations provides a method of ensuring that wastewater surveillance systems can be deployed effectively and equitably. Our paper proposes that legal obligations for wastewater surveillance can be created and enforced through transparent and purposeful legislation (which would include limits on power and grant institutions substantial oversight) as well as paying heed to non-legislative legal means of enforcement, such as through courts or contracts. Introducing legal obligations for wastewater surveillance could therefore be highly useful to researchers, policymakers, corporate technologists, and government agencies working in this field.

Defensive Confidence and Certainty in Unchanged Attitudes: The Role of Affect-Cognition Matching.

Despite much prior research on matching appeals to the affective-cognitive orientation of attitudes, little attention has focused on the consequences of affect-cognition (mis)matching when individuals resist persuasion. We propose that unlike a matched attack, an attack that is mismatched to the affective-cognitive orientation of attitudes would result in low defensive confidence individuals holding onto their unchanged attitudes with less certainty than high defensive confidence individuals. As hypothesized, low defensive confidence participants were less certain after an affective than a cognitive attack for a cognitive issue (Study 1), and the opposite was true for an affective issue (Study 2). Both patterns occurred again when the affective-cognitive orientation of attitudes was manipulated (Study 3) or measured as an individual difference (Study 4). Moreover, perceived knowledge mediated the effects on attitude certainty (Study 4). We end by discussing implications for our understanding of affect-cognition matching and attitude certainty.

When Objective Ambivalence Predicts Subjective Ambivalence: An Affect-Cognition Matching Perspective.

Understanding when people are likely to feel ambivalent is important, as ambivalence is associated with key attitude outcomes, such as attitude-behavior consistency. Interestingly, the presence of conflicting positive and negative reactions (objective ambivalence) is weakly related to feeling conflicted (subjective ambivalence). We tested a novel situation that can influence the correspondence between objective and subjective ambivalence: whether a message and a recipient's topic match in affective versus cognitive orientation. When a person encounters a message with an affective or cognitive match to the topic, conflicting reactions may be more accessible, increasing feelings of ambivalence. Across five studies, greater objective-subjective ambivalence correspondence occurred with an affective-cognitive match between message and topic orientation. Studies 4 and 5 also demonstrated that this primarily occurred when the message was counterattitudinal. This work contributes to the literature explaining the gap between measures of objective and subjective ambivalence as well as how messages can influence attitude strength properties.

The one health perspective to improve environmental surveillance of zoonotic viruses: lessons from COVID-19 and outlook beyond.

The human population has doubled in the last 50 years from about 3.7 billion to approximately 7.8 billion. With this rapid expansion, more people live in close contact with wildlife, livestock, and pets, which in turn creates increasing opportunities for zoonotic diseases to pass between animals and people. At present an estimated 75% of all emerging virus-associated infectious diseases possess a zoonotic origin, and outbreaks of Zika, Ebola and COVID-19 in the past decade showed their huge disruptive potential on the global economy. Here, we describe how One Health inspired environmental surveillance campaigns have emerged as the preferred tools to monitor human-adjacent environments for known and yet to be discovered infectious diseases, and how they can complement classical clinical diagnostics. We highlight the importance of environmental factors concerning interactions between animals, pathogens and/or humans that drive the emergence of zoonoses, and the methodologies currently proposed to monitor them-the surveillance of wastewater, for example, was identified as one of the main tools to assess the spread of SARS-CoV-2 by public health professionals and policy makers during the COVID-19 pandemic. One-Health driven approaches that facilitate surveillance, thus harbour the potential of preparing humanity for future pandemics caused by aetiological agents with environmental reservoirs. Via the example of COVID-19 and other viral diseases, we propose that wastewater surveillance is a useful complement to clinical diagnosis as it is centralized, robust, cost-effective, and relatively easy to implement.

Manipulative and body-based methods in chronic kidney disease patients: A systematic review of randomized controlled trials.

BACKGROUND: and purpose: Among chronic kidney disease (CKD) patients, manipulative and body-based methods (MBM) have demonstrated efficacy in improving symptoms such as fatigue. This review aims to summarize the efficacy and safety of MBM among CKD patients. METHODS: A systematic review was performed in PubMed, Embase, Scopus, CINAHL, CENTRAL and PsycInfo. Randomised controlled trials (RCTs) which evaluated the use of MBM among adult CKD patients were included. The grading of recommendations, assessment, development, and evaluation (GRADE) approach was used to determine the risk of bias and certainty of evidence. The efficacy of each MBM was determined by reduction in symptom severity scores. All adverse reactions were documented. RESULTS: Of 8529 articles screened, 55 RCTs were included. Acupressure (n = 23), massage therapy (n = 17), reflexology (n = 6) and acupuncture (n = 5) were the most studied MBMs. Acupressure and reflexology were shown to reduce sleep disturbance and fatigue by 6.2-50.0% and 9.1-37.7% respectively. For uremic pruritus, acupressure and acupuncture reduced symptoms by 34.5-77.7% and 56.5-60.2% respectively. Common adverse reactions associated with acupressure included intradialytic hypotension (20.4%) and dizziness (11.1%) while that of acupuncture included elbow soreness (7.5%) and bleeding (7.5%). No adverse effects were reported for massage therapy, moxibustion, reflexology and yoga therapy. CONCLUSION: Acupressure, reflexology and massage therapies were the most well-studied MBMs which have demonstrated efficacy in alleviating sleep disturbance, fatigue and uremic pruritus symptoms in CKD patients.

Effects of monochloramine on culturability, viability and persistence of Pseudomonas putida and tap water mixed bacterial community.

Bacterial biofilms are able to persist in drinking water distribution systems (DWDS) even if disinfectants such as monochloramine are used to inhibit bacterial colonization and biofilm formation. While studies have determined the monochloramine concentrations required to inhibit bacterial biofilms, not much is known about how bacterial biofilms develop resistance towards monochloramine. This study covers the development of resistance to monochloramine in both single species and mixed bacterial biofilms. Through culturability tests and flow cytometry, exposing bacterial biofilms to monochloramine disinfection using a sub-lethal concentration (1.5 mg/L Cl2, experimentally determined) was sufficient to cause an increase of the monochloramine's inhibitory concentrations by as much as two times than what is initially required to inhibit biofilm growth. Through persister cultures and 16S rRNA next generation sequencing (NGS) studies, mixed bacterial biofilms experienced to monochloramine exposure resulted in more bacterial genera becoming persistent and resistant towards monochloramine. Through this study, bacterial genera that were persistent towards monochloramine were suggested to share common traits including the ability (1) to readily enter a persister or viable but non-culturable (VBNC) state and (2) to form biofilms primarily comprising proteinaceous extra-polymeric substances (EPS). Both of these traits also suggested that selected bacterial genera tended to be more persistent to monochloramine and produce EPS. This study advances our understanding of bacterial biofilm resistance towards monochloramine and showed the importance of maintaining monochloramine concentrations in DWDS to prevent the development of bacterial resistance towards monochloramine. KEY POINTS: • Monochloramine-resistant biofilm was developed after sub-lethal disinfection. • Mixed-species culture experienced monochloramine showed more persistence to monochloramine. • Ability to enter a persister/VBNC state is a common trait of persistent bacteria genera.

Streamlining volumetric multi-channel image cytometry using hue-saturation-brightness-based surface creation.

Image cytometry is the process of converting image data to flow cytometry-style plots, and it usually requires computer-aided surface creation to extract out statistics for cells or structures. One way of dealing with structures stained with multiple markers in three-dimensional images, is carrying out multiple rounds of channel co-localization and image masking before surface creation, which is cumbersome and laborious. We propose the application of the hue-saturation-brightness color space to streamline this process, which produces complete surfaces, and allows the user to have a global view of the data before flexibly defining cell subsets. Spectral compensation can also be performed after surface creation to accurately resolve different signals. We demonstrate the utility of this workflow in static and dynamic imaging datasets of a needlestick injury on the mouse ear, and we believe this scalable and intuitive approach will improve the ease of performing histocytometry on biological samples.