\u2022 [pre-print, not peer-reviewed] An analysis of COVID-19 cases in Georgia found that 2% of cases were directly responsible for 20% of infections, with infected people under 60 infecting 2.8-times more people than older persons. Lau et al. incorporated individual-level surveillance data with geolocation data and aggregate mobility data to analyze transmission of COVID-19 in five Georgia counties with the largest number of COVID-19 cases (four in metro Atlanta and one rural) between March and early May of 2020.
\n\u2022 The authors also find that super-spreading events may be responsible for disproportionately large outbreaks in rural, less-populated areas, although super-spreading was found in both urban and rural settings before and after local shelter-in-place orders.<\/p>\n
Lau et al. (June 22, 2020). Characterizing Super-Spreading Events and Age-Specific Infectivity of COVID-19 Transmission in Georgia USA. Pre-print downloaded Aug 21 from https:\/\/doi.org\/10.1101\/2020.06.20.20130476<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":" \u2022 [pre-print, not peer-reviewed] An analysis of COVID-19 cases in Georgia found that 2% of cases were directly responsible for 20% of infections, with infected people under 60 infecting 2.8-times more people than older persons. Lau et al. incorporated individual-level surveillance data with geolocation data and aggregate mobility data to analyze transmission of COVID-19 in…<\/p>\n