This might shock non-italian twitter users but for a year, possibly the best detailed source which never wrote a wrong data nor a wrong take on the data for covid, vaccination efforts, hospitalizations, ICU, containment efforts in incredible detail is a student @Ruffino_Lorenzo
He combined *as a student* the best practice of scientific journalism (he double and tripled checked sources for claims of efficacy of treatments, details in case estimates, details in testing procedures etc) and data analysis (no bold claims, no unsupported predictions) AND /
He kept his value preferences well detached from the data he was presenting every time.
And he has no previous "expertise" in anything hcare related to my knowledge.
Just something that should make many "experts" wonder why they failed somuch while he managed to do this well.
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L'istituto superiore di sanità ha pubblicato un aggiornamento sulla composizione per sesso, fasce d'età e patologie pregresse dei morti CON coronavirus qui iss.it/documents/2012… Sottolineo il CON perchè Burioni&C hanno inventato la supercazzola 1/n
antiscientifica, contraria a tutti i criteri epidemiologici, di assegnare come *CAUSA DI MORTE* il coronavirus se morti da infettati dello stesso. Notare che *NON* è norma scientifica. Come si determina la causa di morte in letteratura? ci sono varie strade per un nuovo agente2/n