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Reason: None provided.

This is from 31 years of history. Notice that COVID19 is overtaking everything by huge margin. JJ is last entry BTW.

This is the number of deaths, life threatening, or hospitalizations by vaccine type and name according to the VAERS system. I downloaded data and imported into DB so its easy to query for specific details.

select V.VAX_TYPE, V.VAX_NAME, count() from VAERSDATA D INNER JOIN VAERSVAX V on D.VAERS_ID = V.VAERS_ID WHERE (D.DIED='T' OR D.L_THREAT='T' OR D.HOSPITAL='T') GROUP BY V.VAX_TYPE, V.VAX_NAME ORDER BY COUNT() DESC;

COVID19,COVID19 (COVID19 (MODERNA)),4426

COVID19,COVID19 (COVID19 (PFIZER-BIONTECH)),4216

OPV,"POLIO VIRUS, ORAL (ORIMUNE)",3353

RV5,ROTAVIRUS (ROTATEQ),2750

VARCEL,VARICELLA (VARIVAX),2714

PPV,PNEUMO (PNEUMOVAX),2585

VARZOS,ZOSTER LIVE (ZOSTAVAX),2483

PNC,PNEUMO (PREVNAR),2294

FLU3,INFLUENZA (SEASONAL) (FLUZONE),2219

MMR,MEASLES + MUMPS + RUBELLA (MMR II),1963

HPV4,HPV (GARDASIL),1569

FLUX,INFLUENZA (SEASONAL) (NO BRAND NAME),1469

PNC13,PNEUMO (PREVNAR13),1111

HEP,HEP B (ENGERIX-B),1051

FLU3,INFLUENZA (SEASONAL) (FLUVIRIN),1016

HEP,HEP B (RECOMBIVAX HB),861

VARZOS,ZOSTER (SHINGRIX),807

TDAP,TDAP (ADACEL),803

FLU3,INFLUENZA (SEASONAL) (FLUZONE HIGH-DOSE),622

COVID19,COVID19 (COVID19 (JANSSEN)),609

p.s can someone tell me how to use PRE or list/table formatting.

1 year ago
5 score
Reason: None provided.

This is from 31 years of history. Notice that COVID19 is overtaking everything by huge margin. JJ is last entry BTW.

This is the number of deaths, life threatening, or hospitalizations by vaccine type and name according to the VAERS system. I downloaded data and imported into DB so its easy to query for specific details.

select V.VAX_TYPE, V.VAX_NAME, count() from VAERSDATA D INNER JOIN VAERSVAX V on D.VAERS_ID = V.VAERS_ID WHERE (D.DIED='T' OR D.L_THREAT='T' OR D.HOSPITAL='T') GROUP BY V.VAX_TYPE, V.VAX_NAME ORDER BY COUNT() DESC;

COVID19,COVID19 (COVID19 (MODERNA)),4426 COVID19,COVID19 (COVID19 (PFIZER-BIONTECH)),4216 OPV,"POLIO VIRUS, ORAL (ORIMUNE)",3353 RV5,ROTAVIRUS (ROTATEQ),2750 VARCEL,VARICELLA (VARIVAX),2714 PPV,PNEUMO (PNEUMOVAX),2585 VARZOS,ZOSTER LIVE (ZOSTAVAX),2483 PNC,PNEUMO (PREVNAR),2294 FLU3,INFLUENZA (SEASONAL) (FLUZONE),2219 MMR,MEASLES + MUMPS + RUBELLA (MMR II),1963 HPV4,HPV (GARDASIL),1569 FLUX,INFLUENZA (SEASONAL) (NO BRAND NAME),1469 PNC13,PNEUMO (PREVNAR13),1111 HEP,HEP B (ENGERIX-B),1051 FLU3,INFLUENZA (SEASONAL) (FLUVIRIN),1016 HEP,HEP B (RECOMBIVAX HB),861 VARZOS,ZOSTER (SHINGRIX),807 TDAP,TDAP (ADACEL),803 FLU3,INFLUENZA (SEASONAL) (FLUZONE HIGH-DOSE),622 COVID19,COVID19 (COVID19 (JANSSEN)),609

1 year ago
4 score
Reason: Original

This is from 31 years of history. Notice that COVID19 is overtaking everything by huge margin. JJ is last entry BTW.

This is the number of deaths, life threatening, or hospitalizations by vaccine type and name according to the VAERS system. I downloaded data and imported into DB so its easy to query for specific details.

select V.VAX_TYPE, V.VAX_NAME, count() from VAERSDATA D INNER JOIN VAERSVAX V on D.VAERS_ID = V.VAERS_ID WHERE (D.DIED='T' OR D.L_THREAT='T' OR D.HOSPITAL='T') GROUP BY V.VAX_TYPE, V.VAX_NAME ORDER BY COUNT() DESC;

COVID19,COVID19 (COVID19 (MODERNA)),4426 COVID19,COVID19 (COVID19 (PFIZER-BIONTECH)),4216 OPV,"POLIO VIRUS, ORAL (ORIMUNE)",3353 RV5,ROTAVIRUS (ROTATEQ),2750 VARCEL,VARICELLA (VARIVAX),2714 PPV,PNEUMO (PNEUMOVAX),2585 VARZOS,ZOSTER LIVE (ZOSTAVAX),2483 PNC,PNEUMO (PREVNAR),2294 FLU3,INFLUENZA (SEASONAL) (FLUZONE),2219 MMR,MEASLES + MUMPS + RUBELLA (MMR II),1963 HPV4,HPV (GARDASIL),1569 FLUX,INFLUENZA (SEASONAL) (NO BRAND NAME),1469 PNC13,PNEUMO (PREVNAR13),1111 HEP,HEP B (ENGERIX-B),1051 FLU3,INFLUENZA (SEASONAL) (FLUVIRIN),1016 HEP,HEP B (RECOMBIVAX HB),861 VARZOS,ZOSTER (SHINGRIX),807 TDAP,TDAP (ADACEL),803 FLU3,INFLUENZA (SEASONAL) (FLUZONE HIGH-DOSE),622 COVID19,COVID19 (COVID19 (JANSSEN)),609

1 year ago
1 score