48 lines
1.6 KiB
Plaintext
48 lines
1.6 KiB
Plaintext
jupyter notebook
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get VAERS data:
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- download data (e.g. 2022VAERSData.zip) from https://vaers.hhs.gov/data/datasets.html and save and unzip in VAERS folder
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FK-FIXME:
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- Anzahl 'DIED', 'L_THREAT', 'DISABLE', 'HOSPITAL' und 'ER_VISIT' MÜSSEN immer noch korrekt gezählt werden nach createDataFrameFromDescr()
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FK-TODO:
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- rename project and html-page to VaccineAdverseEventInfo ?
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- move html pages to docs folder
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- publish all figures and tables (as interactive HTML-Pages?)
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- Vergleich Grippe mit Covid19:
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- https://www.bitchute.com/video/4HlIyBmOEJeY/
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- https://www.bitchute.com/video/8wJYP2NpGwN2/
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- https://www.howbad.info/expiry.html
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- https://www.howbadismybatch.com/moderna20A21A.pdf
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- https://www.howbadismybatch.com/deathbylottery.pdf
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- https://dailyexpose.uk/2021/10/31/100-percent-of-covid-19-vaccine-deaths-caused-by-just-5-percent-of-the-batches-produced/?fbclid=IwAR0U4RWwoehj2mEQpDixoQYfo9JpRhZvuP_6w4z_At2Z-Tez-EVvToW4PX4
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- https://www.howbadismybatch.com/geography.html nachprogrammieren
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- handle VAX_DOSE_SERIES = 'UNK' or 'N/A' like '1'?
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- Format des jeweiligen Herstellers berücksichtigen und "verschmutzte" Einträge säubern, denn sie stellen alle dieselbe Charge dar:
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039k20a
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MOD039K20A
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#039K20A
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039K20A-MODERNA
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039K20A-2A (vielleicht nicht)
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039K20A or 039L
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Moderna/039K20A
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MODERNA 039K20A
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MODERNA039K20A
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Modena 039k20A
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L039K20A
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M039K20A
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MOD; 039K20A
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m0039k20A
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u039k20a
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6/21 039K20A
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2039K20A
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013L20A 039K20A#039K20A
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#039K
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039K20A 12-31-
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039K20A & 031M2
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039K20A and 032
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039K20A, 011L20
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df[df.index.duplicated(False)].to_excel('results/pfizer_duplicates.xlsx') |