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BY-COVID - WP5 - Baseline Use Case: COVID-19 vaccine effectiveness assessment - Common Data Model Specification
No full textThis publication corresponds to the Common Data Model (CDM) specification of the Baseline Use Case proposed in T.5.2 (WP5) in the BY-COVID project on “COVID-19 Vaccine(s) effectiveness in preventing SARS-CoV-2 infection.”
Research Question: “How effective have the SARS-CoV-2 vaccination programmes been in preventing SARS-CoV-2 infections?”
Intervention (exposure): COVID-19 vaccine(s)
Outcome: SARS-CoV-2 infection
Subgroup analysis: Vaccination schedule (type of vaccine)
Study Design: An observational retrospective longitudinal study to assess the effectiveness of the COVID-19 vaccine(s) in preventing SARS-CoV-2 infections using routinely collected social, health and care data from several countries.
A causal model was established using Directed Acyclic Graphs (DAGs) to map domain knowledge, theories and assumptions about the causal relationship between exposure and outcome. The DAG developed for the research question of interest is shown below.
Cohort definition: All people, eligible to be vaccinated (from 5 to 115 years old, included) or with, at least, one dose of a SARS-CoV-2 vaccine (any of the available brands) having or not a previous SARS-CoV-2 infection.
Inclusion criteria: All people vaccinated with at least one dose of the COVID-19 vaccine (any of the available brands) in an area of residence. Any person eligible to be vaccinated (from 5 to 115 years old, included) with a positive diagnosis (irrespective of the type of test) for SARS-CoV-2 infection (COVID-19) during the period of study.
Exclusion criteria: People not eligible for the vaccine (from 0 to 4 years old, included)
Study period: From the date of the first documented SARS-CoV-2 infection in each country to the most recent date in which data is available at the time of analysis. Roughly from 01-03-2020 to 30-06-2022, depending on the country.
Files included in this publication:
Causal model (responding to the research question)
COVID-19 vaccine effectiveness causal model v.1.0.0 (HTML) - Interactive report showcasing the structural causal model (DAG) to answer the research question
COVID-19 vaccine effectiveness causal model v.1.0.0 (QMD) - Quarto RMarkdown script to produce the structural causal model
Common data model specification (following the causal model)
COVID-19 vaccine effectiveness data model specification (XLXS) - Human-readable version (Excel)
COVID-19 vaccine effectiveness data model specification dataspice (HTML) - Human-readable version (interactive report)
COVID-19 vaccine effectiveness data model specification dataspice (JSON) - Machine-readable version
Synthetic dataset (complying with the common data model specifications)
COVID-19 vaccine effectiveness synthetic dataset (CSV) [UTF-8, pipe | separated, N~650,000 registries]
COVID-19 vaccine effectiveness synthetic dataset EDA (HTML) - Interactive report of the exploratory data analysis (EDA) of the synthetic dataset
COVID-19 vaccine effectiveness synthetic dataset EDA (JSON) - Machine-readable version of the exploratory data analysis (EDA) of the synthetic dataset
COVID-19 vaccine effectiveness synthetic dataset generation script (IPYNB) - Jupyter notebook with Python scripting and commenting to generate the synthetic datasetThe scripts (software) accompanying the data model specification are offered "as-is" without warranty and disclaiming liability for damages resulting from using it. The software is released under the CC-BY-4.0 licence, which permits you to use the content for almost any purpose (but does not grant you any trademark permissions), so long as you note the license and give credit
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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