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.
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
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