This study examines Turkish online news media coverage of the COVID-19 outbreak in the country. It explores media framing narratives, particularly how they reflected and promoted elite polarization or consensus in the COVID-19 debate. The findings shed light on Turkish political power dynamics during the first stage in the national response to the pandemic. The study highlights the calculations of political partisans who are keen on building a fragile consensus in an increasingly polarized society.
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http://dx.doi.org/10.1177/07395329231155149 | DOI Listing |
J Am Acad Dermatol
April 2024
Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, Massachusetts.
J Infect
March 2023
Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; School of Future Technology and College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China; CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China. Electronic address:
PLoS Med
December 2020
Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Background: The role of fat quantity and quality in type 2 diabetes (T2D) prevention is controversial. Thus, this systematic review and meta-analysis aimed to investigate the associations between intake of dietary fat and fatty acids and T2D, and to evaluate the certainty of evidence.
Methods And Findings: We systematically searched PubMed and Web of Science through 28 October 2019 for prospective observational studies in adults on the associations between intake of dietary fat and fatty acids and T2D incidence.
J Ambient Intell Humaniz Comput
November 2020
School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, TamilNadu India.
In this paper, we are presenting an epidemiological model for exploring the transmission of outbreaks caused by viral infections. Mathematics and statistics are still at the cutting edge of technology where scientific experts, health facilities, and government deal with infection and disease transmission issues. The model has implicitly applied to COVID-19, a transmittable disease by the SARS-CoV-2 virus.
View Article and Find Full Text PDFThe objective of the study is 2-fold. First, it estimates the 2019 new coronavirus disease (COVID19) flattening curve using Panel Random Coefficient Model. This allows each country to have its trajectory while allowing for random error effects to transfer across countries.
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