I’m confused by the x values of the points. Surely that estimate will vary wildly depending on context, right? Is that just some sort of average? Or a worst case number? I guess this confusion should apply to the y values too...
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Absolutely. These are variable characteristics across locations, sub-populations, time, etc. Also, use of log scale probably throwing some people off.
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Bemused by the use of the log scale on y-axis - could mislead people?
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Very odd...
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Nice idea but a material
@nytimes error in labeling 2009 H1N1. ‘Swine flu’ is a disease in swine, not in ppl. 2009 H1N1 flu was not in swine (except v rarely when humans infected them). Fake names#zoonoses =>confusion.@TAMUOneHealth#OneHealthAwarenessMonth shd be extended... -
#pandemic risk communications - from Peter Sandman. Useful also for editors and journalists writing about zoonoses and pandemic risk. http://documents.worldbank.org/curated/en/430001468110044040/Bird-flu-pandemic-flu-and-poultry-markets-playing-Ostrich-or-talking-Turkey …
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I hate log scale. This is also complicated by the flu vaccine, which can alleviate severity of infection even if you contract influenza. But, it is probably accurate to say c.virus is ~5-10x more deadly than influenza strains of the last decade.
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Great graph! Thank you for sharing. For lay audiences, though, I’m not sure the log scale is the right choice.
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This is a great graphic thank you for sharing! Im totally gonna use it for my coronavirus presentation next week!
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Wait, so there's all these OTHER diseases I should ALSO be worrying about??!? /s
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