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@maiamajumder | |||||
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Out today is the first peer-reviewed basic reproduction number (R_0) estimate for #nCoV2019. Consistent with ranges presented by others in pre-print (including me & @mandl's), this team finds a mean R_0 of 2.2 [nejm.org/doi/full/10.10…]. Useful time-to-event distributions too. pic.twitter.com/GNsEL54VPy
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我一直在亲自发推
@huangdx
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30. sij |
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Very informative. The confirmed cases decreased after Jan 8. But it grows up again now. What happen? Can we trust this R0? pic.twitter.com/d5sMCCS4sz
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Ada Yan
@ada_w_yan
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30. sij |
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The figure shows the date of onset of illness of confirmed cases, not the date of confirmation. "The decline in incidence after January 8 is likely to be due to delays in diagnosis and laboratory confirmation." i.e. some cases are yet to be confirmed and included on the graph.
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Grace
@Practice_grace
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30. sij |
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can all of you wonderful and amazing #Epidemiologists and scientists and biologists please explain the following to us laypeople:
How many people does one infected person infect?
How do people know that they have the virus?
Who is dying from the virus?
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Jack Heath
@heath_china
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30. sij |
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I found this informative tweet:
twitter.com/coopesdetat/st…
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CoogGeo
@CoogGeo
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30. sij |
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So, incubation period *could* be as long as a couple of weeks, but the median is actually around 4 days? Is it normal to see a distribution with a tail that long?
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MattyMcClain
@MattyMcClain
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30. sij |
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This is very informative. Thank you for sharing!
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Kerim
@UCLAKerim
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30. sij |
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For comparison ncbi.nlm.nih.gov/pubmed/1954540…
H1N1 R0 of 1.4 and 1.6, influenza (mean R0 1.3) range 0.9 to 2.1, et al
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Sara Kueck
@KueckSara
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30. sij |
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Thank you for sharing!
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SuperEmpath🙅♀️
@EmpathSuper
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30. sij |
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Is anyone asking if they are smokers since it’s 70% men and smoking is more prevalent in Asian men.
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我一直在亲自发推
@huangdx
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30. sij |
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Hope this estimation can help you get an understanding of how many potential infected cases in Wuhan now twitter.com/huangdx/status… twitter.com/huangdx/status…
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