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Study highlights the dynamic role of social media in epidemics

Study highlights the dynamic role of social media in epidemics Researchers from York University and the University of British Columbia have found social media use to be one of the factors related to the spread of COVID-19 within dozens of countries during the early stages of the pandemic. The researchers say this finding resembles other examples of social media misinformation ranging from the initial phase of vaccine rollout to the 2021 Capitol riot in the United States. Countries with high social media use leading to off-line political action prior to the pandemic, as surveyed before the pandemic by V-Dem (a database from the University of Gothenburg), showed the strongest trend toward a high R0 - an indicator of how many secondary infections one infected individual is likely to cause - and a faster initial spread of the virus.

Social media use one of four factors related to higher COVID-19 spread rates early on

Researchers from York University and the University of British Columbia have found social media use to be one of the factors related to the spread of COVID-19 within dozens of countries during the early stages of the pandemic. The researchers say this finding resembles other examples of social media misinformation ranging from the initial phase of vaccine rollout to the 2021 Capitol riot in the United States.

University of Limerick professor helps guide NPHET in Covid-19 battle

University of Limerick professor helps guide NPHET in Covid-19 battle Reporter: );   ); A PROFESSOR at the University of Limerick who has contributed to the work being done by the National Public Health Emergency Team for over a year says he’s optimistic that Ireland will be in a much better place by the late summer. Professor James Gleeson, the acting head of the Department of Mathematics & Statistics at UL, has been a member of the Irish Epidemiological Modelling Advisory Group (IEMAC) since it was established in March 2020. With more than 20 members, the group provides statistical and mathematical modelling support and advice to the Chief Medical Officer and NPHET.

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