Kobi Peleg, Flavio Salio, Frederick M Burkle
Unique Challenges for WHO Emergency Medical Teams in Ukraine: Field Assessment & Global Recommendations
Disaster medicine and public health preparedness
present study analyzed large corpus englishlanguage online media articles covering genomewide association studies gwas exemplifying use computational methods study science communication biological sciences analyzed trends media coverage readability themes mentions ethical social issues 5000 websites published 2005 2018 3555 gwas publications 1943 different traits identified via gwas catalog using textmining approach inform discussion genetic literacy media coverage found 229 gwas papers received media attention described language complex understood public ethical issues rarely mentioned mentions translation increasing time predicted media attention based year publication number genetic associations identified study sample size journal impact factor using regression model r2 387 found chronotype educational attainment alcohol coffee consumption sexual orientation tanning hair color received substantially attention predicted regression model also evaluated prevalence clickbait one gene one disease headlines eg scientists say theyve found gene causes breast cancer found declining sum online media coverage gwas accessible introduce modern genetics terms appropriate elsi mentioned science communication research benefit big data textmining techniques allow us study trends changes coverage trends across thousands media outlets results explored interactively website built manuscript httpsjjmorosolishinyappsionewas