The confusing response to COVID-19 in the U.S. resulted from decisions by President Donald Trump and his allies to politicize the pandemic by associating it with his own fate in office, according to a new book by a Cornell author.
Cornell researchers have developed an automated system that uses machine learning, data analysis and human feedback to automatically verify statistical claims about the new coronavirus.
Participants in the Jacobs Technion-Cornell Institute at Cornell Tech’s Runway Startup Postdoc Program presented projects aimed at coping with coronavirus at a virtual demonstration April 1.
A Cornell-led COVID-19 patient registry, organized by Weill Cornell Medicine, continues to be a source of medical insight into the workings of the novel coronavirus and treatment of infected patients.
According to new Cornell research, people are more likely to accept the COVID-19 booster the more effective it is, if there are cash incentives and if it is made by Moderna or Pfizer.
Those already pregnant at the beginning of the pandemic had a 50% lower exposure to SARS-CoV-2 compared with those who became pregnant after the pandemic began and the general population, Weill Cornell researchers and colleagues found.
Experts at Cornell University are available to discuss the coronavirus in terms of its many impacts on economic productivity, inequalities as well as specific disruptions to various industries.
