#true_positives - Twitter Hashtag

over 5 years ago

1/ Prof @jimalkhalili Do you know how many of 53,000 new cases are #True_Positives (ie #infectious/#presymptomatic)? How many are #False_Positives (#NON_INFECTIOUS)? The latter do not contribute to #infectious_outbreaks See >70 ref’s in my Pinned Tweet https://t.co/5NR78gTkI3

over 5 years ago

53k new cases. Not good.

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over 5 years ago

@jimalkhalili 1/ Prof @jimalkhalili Do you know how many of 53,000 new cases are #True_Positives (ie #infectious/#presymptomatic)? How many are #False_Positives (#NON_INFECTIOUS)? The latter do not contribute to #infectious_outbreaks See >70 ref’s in my Pinned Tweet https://t.co/5NR78gTkI3

almost 6 years ago

1/x ⬆️ Testing = ⬆️ Cases This ALSO: (1) ⬆️ #False_Positive PCR results (compared to True Positives) especially if ⬆️ #asymptomatics tested & (2) #NON_infectious cases IF excess Ct cutoff Leads to #erroneous reporting of #NON_Infectious #Cases REF 1) https://t.co/3lgIgCEsqa

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almost 6 years ago

@apsmunro Can somebody please colour-code: - #true_positives (in green) vs - #false_positives (in red) to help make this chart more meaningful? These 3 can advise: Dr @MichaelYeadon3 Dr @ClareCraigPath Prof @carlheneghan

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almost 6 years ago

@BallouxFrancois @UgariticMan As long as they are #corroborating ALL #positive PCR test results with #clinical assessments, #viral_cultures, #antigen_tests and/or another way to ensure that in fact, they are #true_positives - not #false_positives

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almost 6 years ago

@InProportion2 1/x ⬆️ cases are due to ⬆️ number of tests done Also due to: (1) ⬆️ number of #False_Positive PCR results (compared to #True_Positives) and (2) excess Ct cutoffs Leads to #erroneous #inclusion of #NON_infectious #positives in Cases References (i) https://t.co/3lgIgCEsqa

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Top Tweets for #true_positives