1,720,985 research outputs found
Construction of a socio-economic index to facilitate analysis of health data in developing countries
No full textIn order to plan, implement and monitor health interventions for the most deprived sector of the population, it is necessary to identify socioeconomic groups at risk. Multiple Correspondence Analysis was used to construct a socio-economic index based on data collected from a sample of 2698 households in South-West district of the Ugandan Republic in 1988. This study is a part of the baseline survey done by the Government of Uganda in collaboration with UNICEF. Its aim was to reduce the incidence of death of children below 5 years from diahorrea. Two factorial axes, representing respectively the socio-cultural and the anthropological conditions, explained more than 80% of the total variability. Among the 11 variables employed the most useful in characterizing the socio-economic classification were: father's occupation, parent's literacy, father's professional position and ownership of a radio. A classification in 7 levels was obtained. The first two levels are characterized as professionals and civil servants. The bottom two levels include households where both parents are illiterate and where father's primary activity is agricultural at a subsistence level. The three middle levels represent a transitional situation. In order to classify the family into the different levels, the other related variables, such as father's professional position or ownership of radio or father's religion or presence of latrine proved to be very useful. A flow chart which identifies which level a household belongs to was constructed. A general and valid observation is that families classified into the last two levels (6 and 7) constituted the population at risk for health conditions
Comparison of auxometric traits of Ugandan children with the international references (NCHS)
No full text
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
Weight, height and arm circumference of children under 5 in the district of Mbarara, south-west Uganda
No full textThis paper describes the growth of weight, height and arm circumference (MUAC) in children aged under 5 years and living in lhe south-west area of Uganda. The survey was carried out in 1988 and was based on a random sample of 31 villages of the Mbarara district. A total of 4320 children were measured by a team of 20 trained assessors. From these children a reference group was made up of the 3654 known to be still alive after 1 year. Growth charts were drawn by smoothing the non-parametric percentiles of the distributions of height, weight and MUAC for age and of weight for height. The anthropometric characteristics of children living in south-west Uganda differ considerably from those of children on which the FELS/NCHS/WHO references are based. Between 1 and 5 years of age, the median difference between Mbarara and American children increases from 1·5 to 3kg for weight, from 4 to 7cm for height, and from 1·5 to 2·5 cm for MUAC. These results imply that the use of the international reference may lead to low specificity and predictive values in screening malnourished children living in an underdeveloped country such as Uganda. The charts here proposed may apply to populations with a lifestyle similar to that of inhabitants of south-west Uganda, both from a nutritional and socioeconomic viewpoint
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
Anthropometry as a predictor for mortality among Ugandan children, allowing for socio-economic variables
No full textLength, height, weight and mid-upper arm circumference (MUAC) were measured in 4320 children aged between 0 and 59 months, and their socio-economic status was assessed, in 31 villages in Southwest Uganda during March-April 1988. A follow-up survey assessed the mortality of the children during the 12 months following anthropometry. Mortality rates were higher in those with low anthropometric indices at the first survey. MUAC was the most sensitive predictor of mortality followed by weight-for-age, height-for-age and weight-for-height. MUAC increased the predictive power of other parameters whereas the other parameters did not increase the predictive power of MUAC. MUAC below 12.5, 11.5 and 10.5 cm predicted 10.9%, 18.7% and 36.5% of the deaths respectively. Nutritional status was worse in the low socio-economic group but the predictive power of anthropometry for mortality was not influenced by socio-economic status. This suggests that nutrition per se has an influence on mortality which is independent of socioeconomic status
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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