South Africans’ understanding of and response to the COVID-19 outbreak: An online survey

Background. The COVID-19 outbreak is in an accelerating phase, and South Africa (SA) has had the highest number of documented cases during the early phase of the pandemic in sub-Saharan Africa.Objectives. To assess South Africans’ understanding of and response to COVID-19 during the first week of the country’s lockdown period.Methods. An online survey was conducted in SA from 27 March to 2 April 2020. The survey was distributed widely among several websites and social media networks, including on a data-free platform. Descriptive statistics of knowledge, risk perception, access to and trust in information sources, and public and media opinions were calculated. Estimates were benchmarked to the 2019 national adult population estimates.Results. Of the 55 823 participants, the majority (83.4%) correctly identified the main symptoms of COVID-19. Over 90% had correct knowledge of the incubation period, with lower rates for 18 - 29-year-olds. Knowledge of symptoms and the incubation period varied significantly by population group (p<0.001), dwelling type (p<0.001) and sex (p<0.001). A quarter (24.9%) perceived themselves as at high risk of contracting COVID-19. Risk perception varied by age, population group, employment status and dwelling type (p<0.001). The most prevalent COVID-19 information sources were government sources (72.9%), news websites/apps (56.3%), satellite television (51.6%) and local television (51.4%).Conclusions. Understanding knowledge, attitudes and behaviours of people facing the COVID-19 pandemic is crucial for guiding strategic policy. These findings provide public understanding of COVID-19 as the phases of the country-level epidemic progress, and also directly inform communication needs and gaps

The UK National Student Survey: An amalgam of discipline and neo-liberal governmentality

The UK National Student Survey (NSS) has high status on the agenda of UK universities. Its rise in status is linked to its influence on national rankings and associated funding streams referenced to the Teaching Excellence Framework (TEF). Consequently, many universities have implemented further assessments of student satisfaction, thereby putting additional internal performative pressures on courses and individual lecturers. The research contribution of this paper consists in an analysis of the NSS through Foucault’s notion of “governmentality” with a particular focus on his work on “discipline” and “neo-liberal governmentality”. More specifically, by utilising qualitative data from interviews, research diaries and observations, it will be demonstrated how the NSS functions as a “disciplinary” technology of government which subjects lecturers, departments and universities to intersecting panoptic gazes and perpetual ratings. In addition, the NSS can also be considered ‘neo-liberal’ (Foucault, 2008, p. 193) in that it governs the academic population through narrow conceptions of “freedom” and omnipresent competition. The paper proposes that it is through the amalgamated forces of intersecting panoptic gazes, on the one hand, and neo-liberal free-market principles, on the other, that student feedback develops its power to govern

Genetic analysis of yield and flesh colour in sweetpotato

Pre-breeding information on the inheritance mechanism of important sweetpotato (Ipomoea batatas L.) agronomic traits is still limited. This study aimed at assessing the inheritance of five sweetpotato agronomic traits, viz. marketable fresh root yield (MFRY) and number (MNR), total fresh root yield (TFRY) and number (TNR) and root b-carotene content (RBCC). A 5 x 5 full diallel was performed and F1 progenies, evaluated in two environments alongside the parents. The data were subjected to ANOVA and DiallelSAS-05 Griffing’s method 1. Simple Sequence Repeat (SSR) based genetic distance and cluster analysis were performed on the parental lines using Jaccard’s coefficient and the unweighted pair group method with arithmetic averages (UPGMA). Significant differences (P<0.01) were detected among the genotypes for MFRY, MNR, TFRY, TNR and RBCC. Significant general and specific combining ability (P<0.01) effects were observed for all five traits. Additive gene action was predominantly involved in the inheritance of these traits. High broad sense heritability values were observed for the four yield parameters and for RBCC. The Jaccard’s similarity coefficient indicated moderate to low genetic similarity distances among the parents, implying high diversity. The knowledge on the inheritance and diversity of the parental genotypes enables more effective choice of parents in breeding improved varieties

The read-across hypothesis and environmental risk assessment of pharmaceuticals

This article is made available through the Brunel Open Access Publishing Fund. Copyright © 2013 American Chemical Society.Pharmaceuticals in the environment have received increased attention over the past decade, as they are ubiquitous in rivers and waterways. Concentrations are in sub-ng to low μg/L, well below acute toxic levels, but there are uncertainties regarding the effects of chronic exposures and there is a need to prioritise which pharmaceuticals may be of concern. The read-across hypothesis stipulates that a drug will have an effect in non-target organisms only if the molecular targets such as receptors and enzymes have been conserved, resulting in a (specific) pharmacological effect only if plasma concentrations are similar to human therapeutic concentrations. If this holds true for different classes of pharmaceuticals, it should be possible to predict the potential environmental impact from information obtained during the drug development process. This paper critically reviews the evidence for read-across, and finds that few studies include plasma concentrations and mode of action based effects. Thus, despite a large number of apparently relevant papers and a general acceptance of the hypothesis, there is an absence of documented evidence. There is a need for large-scale studies to generate robust data for testing the read-across hypothesis and developing predictive models, the only feasible approach to protecting the environment.BBSRC Industrial Partnership Award BB/ I00646X/1 and BBSRC Industrial CASE Partnership Studentship BB/I53257X/1 with AstraZeneca Safety Health and Environment Research Programme