#Superspreading

Our work on superspreading has just been published https://www.nature.com/articles/s41591-020-1092-0, the preprint was posted a few months ago.https://twitter.com/bencowling88/status/1270549539154309121 Work done with @DillonCAdam @gmleungh

(1/4) Study of #COVID19 in Hong Kong from January to April, showing that the epidemic was characterised by superspreading events. Just 19% of infections were responsible for 80% of secondary

Kai Kupferschmidt

Another new and really interesting paper on #SarsCoV2 clusters and superspreading by @gmleunghku, @bencowling88 and others: “we estimated that approximately 20% of cases were responsible for 80% of all #SarsCoV2

Jose-Luis Jimenez

An excellent article summarizing what we know about aerosol transmission, and the fact that it is likely driving the pandemic thru superspreading events: https://documentcloud.adobe.com/link/review?uri=urn%3Aaaid%3Ascds%3AUS%3Af2f0a4e1-6939

#NursingHomes important to know #Covid19 builds up & spreads like cigarette smoke; so closed windows in cold weather is making conditions high-risk for super spread- it can be easily mitigated

I've flown a few times based on my perception of low – but non-zero – risk. This new report of a big outbreak on a 7-hour Irish flight https://tinyurl.com/y4fs2y7f doesn't

Christian Althaus

There is increasing interest in superspreading for COVID-19, not least due to an excellent article by @kakape on the topic 1/9https://www.sciencemag.org/news/2020/05/why-do-some-covid-19-patients-infect-many-others-whereas-most-don-t-spread

Dr Emma Hodcroft

1/ #SARSCoV2 #COVID19 transmission isn't equal: some cases transmit much more than others. We know that close, crowded, poor ventilated places (esp w loud talking/singing) link to superspreader events.Minimising these

Dr. Tom Frieden

In the 1918 pandemic, in many places, the second wave was deadlier than the first. Sadly, this looks likely for Covid. India's challenges may be replicated in many countries. We

I'm getting asked more about the 'k' parameter that describes variation in the reproduction number, R (i.e. describes superspreading). But what does this parameter actually mean? A short statistical thread...

New analysis of sequence data suggests the current US COVID-19 outbreak sparked in mid-Feb. As well as providing insights how the epidemic started, I think this has some important implications

Kai Kupferschmidt

Promised to tweet out a few more thoughts from my reporting on #covid19 clustering and dispersion factor k. So here goes:https://twitter.com/kakape/status/1262876041237991424 Quick recap first: Reproduction number R is an average.

A common criticism of population-based epidemic models is that they don't account for individual-level variation in transmission (i.e. superspreading events). But how much of a problem is this? 1/ For

For public health & infectious disease specialists, the tale of "Typhoid Mary" is legendary. Mary, a cook in New York, had typhoid and over several decades managed to infect at

Richard Nicholl

Prediction: the government will continue to say people aren't following the rules, rather than confront the reality that the rules are inadequate and founded on an incorrect understanding of the

Jonathan Mesiano-Crookston @/#COVIDisAirborne

Singing and coughing might create infectious SARS2 aerosols you say? How could we EVER have knownFrom 1996 Sepkowitz "How contagious is tuberculosis" (TB) I like this article because it reminds