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The UNESCO study of publication trends in 193 countries on the topic of new or re-emerging viruses that can infect humans covered the period from 2011 to 2019 and now provides an overview of the state of research prior to the COVID-19 pandemic. Global output on this broad topic increased by only 2% per year between 2011 and 2019, slower than ...
The Research Brief is a short take about interesting academic work. The big ideaThe scientific community worldwide has mobilized with unprecedented speed to tackle the COVID-19 pandemic, and the ...
COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. [1] The list should not be confused with COVID-19 apps used mainly for digital contact tracing . Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.
COVID-19 Open Research Dataset (CORD-19): The Semantic Scholar project of the Allen Institute for AI hosts CORD-19, a public dataset of academic articles about COVID-19 and related research. [17] The dataset is updated daily and includes both peer-reviewed articles and preprints. [ 18 ]
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The COVID‑19 vaccines are widely credited for their role in reducing the spread of COVID‑19 and reducing the severity and death caused by COVID‑19. According to a June 2022 study, COVID‑19 vaccines prevented an additional 14.4 to 19.8 million deaths in 185 countries and territories from 8 December 2020 to 8 December 2021.
Screenshot of a template on the English Wikipedia displaying a collection of articles related to the COVID-19 pandemic, as of 3 April 2021. A year after its first creation, the main COVID-19 pandemic Wikipedia article in English had become the 34th most viewed article on the website of all time, with almost 32,000 inbound links from other articles, according to The New Republic. [2]
Research based on the app was described in papers in Science on 5 May 2020 [23] and in Nature Medicine on 11 May 2020. [16] Using data from the app, researchers were able to identify six distinct types of COVID-19 and forecast which initial symptoms were more likely to lead to severe illnesses. [24] [25]