1,720,959 research outputs found
Macroeconomics and health: Understanding the impact of a declining economy on health outcomes of children and young adults in South Africa
No full textBackground: The current covid-19 economic crisis continues to weaken economic growth in South Africa. This study was designed to show how a declining economic state affects the mental health conditions, metabolic risk factors, communicable conditions, and non-communicable conditions of adolescent (18-year cohorts) and adult (25-year cohorts) population groups comparatively. Study design: This was a panel analysis using secondary data issued by Statistic South Africa. Methods: The author used a Two-stage Least Squared Model (2SLS) to quantify the impact of the declining economy on mental health conditions (depression and traumatic stress), non-communicable conditions (cancer and diabetes), metabolic risk factors (alcohol abuse and hypertension), and communicable conditions (influenza, diarrhea, dry cough) of both adolescent and young adult population groups. Each group comprised a treatment and a control group. Results: The declining economic state of 2008–2014 worsens the mental health conditions, metabolic risk factors, and non-communicable conditions of adolescent and young adult populations. However, the declining economy reduced cases of communicable conditions. The impact of the declining economy worsens mental health conditions, metabolic risk factors, and non-communicable conditions more in urban settings than in rural regions. Men abuse alcohol more than women during economic decline, triggering worsening mental health conditions, hypertension, and non-communicable conditions, especially in the adult population residing in urban settings. Conclusions: Economic decline worsen mental health conditions, metabolic risk factors, and non-communicable conditions. The South African government may want to prioritize these conditions as covid-19 economic shocks continue to backslide economic growth
The Impact and Spillover Effects of HIV Self-Test Technology on HIV Outcomes of the South African Working Class
Full text linkBackground: South Africa recently adopted HIV self-test technology (HIVST) to improve HIV testing and encourage earlier treatment initiation in working populations with a low uptake of conventional testing approaches. This study investigates the impact of HIVST on testing outcomes, focusing on both frequent and infrequent working-class testers. The paper also examines the spillover effect of HIVST on antiretroviral (ART) treatment initiation. To identify these effects, the author focused on South Africa and exploited the HIVST distribution data of 6259 beneficiaries of HIVST.
Methods: The author used a two-stage least-squared model to quantify the impact of the HIVST on these vulnerable working populations.
Results: The results show that HIVST fosters a 27.6% higher testing uptake in infrequently testing workers compared to frequently testing workers, and that the uptake of HIVST is 11.5% higher in rural regions than in urban settings, as well as 14.5% more prominent in infrequent male testers than infrequent female testers. Notably, the positive effects of HIVST are also confirmed by the presence of positive spillover effects in workers screening positive for HIV. The paper documents a 7.6% increase in ART initiation in infrequent testers.
Conclusions: There is a case for adopting this technology to improve the uptake of HIV testing and ART initiation as the country seeks to attain the UNAIDS 95–95–95 targets by 203
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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