1,721,085 research outputs found
The population-level impact of COVID-19 on maternal health care utilization: Evidence 2 from 2022 Kenya Demographic and Health Survey 3 4
BackgroundDespite growing research attention on the impact of Covid-19 on maternal health care (MHC) in low-and-middle-income-countries, substantial knowledge gaps remain about its population-level impact. This paper uses population-based data to examine the extent of Covid-19 impact on MHC, population sub-groups disproportionately impacted, and sub-national variations in such impact in Kenya.MethodsThis was a secondary analysis of the 2022 Kenya Demographic and Health Survey data. It involved assessing differences in MHC between pre-pandemic (before March 2020), Covid-19 onset (March-December 2020) and Covid-19 era/recovery (2021-2022) periods. Three-level Logistic regression models were estimated to examine the role of multilevel predictors and sub-national variations in Covid-19 impact on MHC.FindingsCovid-19 significantly impacted both routine and lifesaving/emergency MHC in Kenya. Compared to births pre-pandemic, births during Covid-19 onset and era/recovery had 14% and 26%, respectively, lower likelihood of adequate antenatal care (4+visits, starting first trimester). Births during Covid-19 onset had 33% higher likelihood of occurring at home and 31% lower likelihood of being through C-section than pre-pandemic. Certain population sub-groups were disproportionately affected, with significant sub-national variations in impact.ConclusionsThe findings underscore a need for targeted policy/programme strategies to mitigate adverse consequences of public health emergencies among disproportionately impacted population subgroups
Comparing maternal health indicators between teenagers and older women in sub-Saharan Africa: evidence from DHS
DHS data from 21 countries in sub-Saharan Africa are used to examine maternal health indicators among teenagers. A comparison is made between teenagers and older women, based on logistic regression analyses for individual countries and multilevel logistic analyses applied to merged data, controlling for the effect of socio-economic and demographic factors. Teenagers are found more likely to report unintended fertility (especially mistimed), receive inadequate antenatal care (start late and attend fewer visits), have non-facility delivery, and have a small baby at birth. However, teenagers are less likely to have had Caesarean section deliveries compared to older women. There are significant differences in maternal health indicators between countries but the observed pattern by maternal age does not vary significantly between countries, suggesting that these patterns are generalizable for the region. For teenagers with characteristics associated with higher Caesarean section or unwanted fertility rates, being in countries with overall higher risks of these outcomes particularly amplifies their chances of experiencing them
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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