1,720,958 research outputs found
Early assessment of the relationship between the COVID-19 pandemic and births in highincome countries
Drawing on past pandemics, scholars have suggested that the COVID-19 pandemic will bring about fertility decline. Evidence from actual birth data has so far been scarce. This brief report uses data on vital statistics from a selection of high-income countries, including the United States. The pandemic has been accompanied by a significant drop in crude birth rates beyond that predicted by past trends in 7 out of the 22 countries considered, with particularly strong declines in southern Europe: Italy (-9.1%), Spain (-8.4%), and Portugal (-6.6%). Substantial heterogeneities are, however, observed
COVID‐19 Policy Interventions and Fertility Dynamics in the Context of Pre‐Pandemic Welfare Support
This paper focuses on nonpharmaceutical interventions (NPIs) to explain fertility dy-namics during the pandemic, while considering countries’ institutional context. Weargue that containment policies disrupted people’s lives and increased their uncer-tainty more in countries with weak welfare support systems, while health-relatedand economic support NPIs mitigated such disruptions much more there, as theywere less expected by citizens. We estimate monthly “excess” crude birth rates (CBRs)and find that countries with low public support—Southern Europe, East Asia, andEastern Europe—experienced larger decreases and less of a rebound in CBRs thancountries with histories of high public spending—Western, Central, and NorthernEurope. However, in low support countries, NPIs are much more strongly associ-ated with excess CBRs—containment NPIs more negatively and health and economicsupport NPIs more positively—with the exception of the one-month lag of contain-ment NPIs, for which the opposite holds. When putting these coefficients into broaderperspective, our findings suggest that the actual implementation of all NPIs takentogether mitigated fertility declines. This is especially the case for low public supportcountries, whereas one might have seen a birth decline even in high support countriesif the NPIs were not implemented
The COVID-19 pandemic and human fertility
The coronavirus disease 2019 (COVID-19) pandemic will have consequences for human populations. Worldwide, mortality levels are certainly affected. The worst-hit northern Italian provinces recorded losses of period life expectancy of 2 to 3.5 years for men and 1.1. to 2.5 years for women, the largest decline in life expectancy since the 1918–1919 influenza pandemic and World War II. Similar patterns follow in other countries. With the focus firmly on deaths, the scientific debate risks overlooking that population dynamics are also shaped by fertility trajectories. Throughout history, spikes in mortality owing to events such as wars, famines, and pandemics were followed by changes in fertility, resulting in fewer births in the short term and by recuperation in subsequent years. Economic and social change triggered by a pandemic is also likely to influence childbearing intentions and completed fertility. How the COVID-19 pandemic will affect fertility has implications for the rate of population aging, shaping future health challenges and economic growth potential across the globe
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
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