refactoring
This commit is contained in:
@@ -62,17 +62,6 @@ class BatchCodeTableInitializer {
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this.#getColumnIndex('Company')
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]
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},
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// FK-TODO: make visible again
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{
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visible: false,
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targets:
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[
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this.#getColumnIndex('Company'),
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this.#getColumnIndex('Deaths'),
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this.#getColumnIndex('Disabilities'),
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this.#getColumnIndex('Life Threatening Illnesses')
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]
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},
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{
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render: data => {
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const numberInPercent = parseFloat(data);
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@@ -1,48 +0,0 @@
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import math
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import numpy as np
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class BarChartDescriptionTables:
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@staticmethod
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def filter(barChartDescriptionTable, predicate):
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return barChartDescriptionTable[barChartDescriptionTable.apply(
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lambda barChartDescription: predicate(
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barChartDescription['BAR_CHART_DESCRIPTION']),
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axis='columns')]
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@staticmethod
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def isValidJensenShannonDistance(barChartDescription):
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jensenShannonDistance = barChartDescription['Jensen-Shannon distance']
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return not math.isnan(jensenShannonDistance)
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@staticmethod
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def hasMinSizeOfGuessedHistogram(barChartDescription, minSizeOfGuessedHistogram):
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sizeOfGuessedHistogram = sum(
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barChartDescription['Adverse Reaction Reports guessed'])
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return sizeOfGuessedHistogram >= minSizeOfGuessedHistogram
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@staticmethod
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def hasMinSizeOfKnownHistogram(barChartDescription, minSizeOfKnownHistogram):
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sizeOfKnownHistogram = sum(
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barChartDescription['Adverse Reaction Reports known'])
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return sizeOfKnownHistogram >= minSizeOfKnownHistogram
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@staticmethod
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def hasCountryWithGuessedGreaterThanKnown(barChartDescription):
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guessedBarChart = barChartDescription['Adverse Reaction Reports guessed']
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knownBarChart = barChartDescription['Adverse Reaction Reports known']
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return np.any(np.asarray(guessedBarChart) > np.asarray(knownBarChart))
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@staticmethod
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def isGuessedGreaterThanKnown(barChartDescription):
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sizeOfGuessedHistogram = sum(
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barChartDescription['Adverse Reaction Reports guessed'])
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sizeOfKnownHistogram = sum(
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barChartDescription['Adverse Reaction Reports known'])
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return sizeOfGuessedHistogram >= sizeOfKnownHistogram
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@staticmethod
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def containsCountry(barChartDescription, country):
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COUNTRIES = [country.upper() for country in barChartDescription['countries']]
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return country.upper() in COUNTRIES
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@@ -1,378 +0,0 @@
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import unittest
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import pandas as pd
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import numpy as np
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from pandas.testing import assert_frame_equal
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from TestHelper import TestHelper
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from BarChartDescriptionTables import BarChartDescriptionTables
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class BarChartDescriptionTablesTest(unittest.TestCase):
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def test_filterValidJensenShannonDistances(self):
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# Given
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barChartDescriptionTable = TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [0, 0],
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'Adverse Reaction Reports known': [20, 30],
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'Jensen-Shannon distance': np.nan
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}
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],
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[
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{
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'countries': ['Germany'],
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'Adverse Reaction Reports guessed': [70],
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'Adverse Reaction Reports known': [80],
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'Jensen-Shannon distance': 0.4711
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}
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]
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],
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index=pd.Index(
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[
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'!D0181',
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'# 009C01A'
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],
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name='VAX_LOT'))
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# When
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barChartDescriptionTableResult = BarChartDescriptionTables.filter(
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barChartDescriptionTable,
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BarChartDescriptionTables.isValidJensenShannonDistance)
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# Then
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assert_frame_equal(
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barChartDescriptionTableResult,
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TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany'],
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'Adverse Reaction Reports guessed': [70],
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'Adverse Reaction Reports known': [80],
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'Jensen-Shannon distance': 0.4711
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}
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]
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],
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index=pd.Index(
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[
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'# 009C01A',
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],
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name='VAX_LOT')),
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check_dtype=True)
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def test_filterHasMinSizeOfGuessedHistogram_true(self):
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# Given
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barChartDescriptionTable = TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [10, 20],
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'Adverse Reaction Reports known': [20, 30],
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'Jensen-Shannon distance': 0.4711
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}
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]
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],
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index=pd.Index(
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[
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'!D0181'
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],
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name='VAX_LOT'))
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# When
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barChartDescriptionTableResult = BarChartDescriptionTables.filter(
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barChartDescriptionTable,
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lambda barChartDescription:
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BarChartDescriptionTables.hasMinSizeOfGuessedHistogram(
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barChartDescription,
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minSizeOfGuessedHistogram=20))
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# Then
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assert_frame_equal(
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barChartDescriptionTableResult,
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barChartDescriptionTable,
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check_dtype=True)
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def test_filterHasMinSizeOfGuessedHistogram_false(self):
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# Given
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barChartDescriptionTable = TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [10, 20],
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'Adverse Reaction Reports known': [20, 30],
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'Jensen-Shannon distance': 0.4711
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}
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]
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],
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index=pd.Index(
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[
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'!D0181'
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],
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name='VAX_LOT'))
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# When
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barChartDescriptionTableResult = BarChartDescriptionTables.filter(
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barChartDescriptionTable,
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lambda barChartDescription:
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BarChartDescriptionTables.hasMinSizeOfGuessedHistogram(
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barChartDescription,
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minSizeOfGuessedHistogram=31))
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# Then
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assert_frame_equal(
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barChartDescriptionTableResult,
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TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[],
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index=pd.Index(
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[],
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name='VAX_LOT')),
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check_dtype=True)
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def test_filterHasMinSizeOfKnownHistogram_true(self):
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# Given
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barChartDescriptionTable = TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [10, 20],
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'Adverse Reaction Reports known': [20, 30],
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'Jensen-Shannon distance': 0.4711
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}
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]
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],
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index=pd.Index(
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[
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'!D0181'
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],
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name='VAX_LOT'))
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# When
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barChartDescriptionTableResult = BarChartDescriptionTables.filter(
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barChartDescriptionTable,
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lambda barChartDescription:
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BarChartDescriptionTables.hasMinSizeOfKnownHistogram(
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barChartDescription,
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minSizeOfKnownHistogram=20))
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# Then
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assert_frame_equal(
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barChartDescriptionTableResult,
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barChartDescriptionTable,
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check_dtype=True)
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def test_filterHasMinSizeOfKnownHistogram_false(self):
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# Given
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barChartDescriptionTable = TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [100, 20],
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'Adverse Reaction Reports known': [20, 30],
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'Jensen-Shannon distance': 0.4711
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}
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]
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],
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index=pd.Index(
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[
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'!D0181'
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],
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name='VAX_LOT'))
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# When
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barChartDescriptionTableResult = BarChartDescriptionTables.filter(
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barChartDescriptionTable,
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lambda barChartDescription:
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BarChartDescriptionTables.hasMinSizeOfKnownHistogram(
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barChartDescription,
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minSizeOfKnownHistogram=51))
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# Then
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assert_frame_equal(
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barChartDescriptionTableResult,
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TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[],
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index=pd.Index(
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[],
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name='VAX_LOT')),
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check_dtype=True)
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def test_filterHasCountryWithGuessedGreaterThanKnown(self):
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# Given
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guessed = 25
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known = 20
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barChartDescriptionTable = TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [guessed, 20],
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'Adverse Reaction Reports known': [known, 30],
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'Jensen-Shannon distance': 0.4711
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}
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],
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[
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{
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'countries': ['Germany', 'America'],
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'Adverse Reaction Reports guessed': [25, 20],
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'Adverse Reaction Reports known': [250, 200],
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'Jensen-Shannon distance': 0.815
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}
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]],
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index=pd.Index(
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[
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'!D0181',
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'some batch code'
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],
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name='VAX_LOT'))
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# When
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barChartDescriptionTableResult = BarChartDescriptionTables.filter(
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barChartDescriptionTable,
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BarChartDescriptionTables.hasCountryWithGuessedGreaterThanKnown)
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# Then
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assert_frame_equal(
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barChartDescriptionTableResult,
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TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [guessed, 20],
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'Adverse Reaction Reports known': [known, 30],
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'Jensen-Shannon distance': 0.4711
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}
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]
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],
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index=pd.Index(
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[
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'!D0181'
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],
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name='VAX_LOT')),
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check_dtype=True)
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def test_filterIsGuessedGreaterThanKnown(self):
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# Given
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barChartDescriptionTable = TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [250, 1],
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'Adverse Reaction Reports known': [240, 9],
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'Jensen-Shannon distance': 0.4711
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}
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],
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[
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{
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'countries': ['Germany', 'America'],
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'Adverse Reaction Reports guessed': [25, 2000],
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'Adverse Reaction Reports known': [5000, 200],
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'Jensen-Shannon distance': 0.815
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}
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]],
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index=pd.Index(
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[
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'!D0181',
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'some batch code'
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],
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name='VAX_LOT'))
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# When
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barChartDescriptionTableResult = BarChartDescriptionTables.filter(
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barChartDescriptionTable,
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BarChartDescriptionTables.isGuessedGreaterThanKnown)
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# Then
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assert_frame_equal(
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barChartDescriptionTableResult,
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TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [250, 1],
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'Adverse Reaction Reports known': [240, 9],
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'Jensen-Shannon distance': 0.4711
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}
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]
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],
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index=pd.Index(
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[
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'!D0181'
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],
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name='VAX_LOT')),
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check_dtype=True)
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def test_filterContainsCountry(self):
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# Given
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barChartDescriptionTable = TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'Hungary'],
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'Adverse Reaction Reports guessed': [25, 20],
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'Adverse Reaction Reports known': [20, 30],
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'Jensen-Shannon distance': 0.4711
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}
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],
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[
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{
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'countries': ['Germany', 'America'],
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'Adverse Reaction Reports guessed': [25, 20],
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'Adverse Reaction Reports known': [250, 200],
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'Jensen-Shannon distance': 0.815
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}
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]],
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index=pd.Index(
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[
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'!D0181',
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'some batch code'
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],
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name='VAX_LOT'))
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# When
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barChartDescriptionTableResult = BarChartDescriptionTables.filter(
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barChartDescriptionTable,
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lambda barChartDescription: BarChartDescriptionTables.containsCountry(barChartDescription, 'America'))
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# Then
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assert_frame_equal(
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barChartDescriptionTableResult,
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TestHelper.createDataFrame(
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columns=['BAR_CHART_DESCRIPTION'],
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data=[
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[
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{
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'countries': ['Germany', 'America'],
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'Adverse Reaction Reports guessed': [25, 20],
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'Adverse Reaction Reports known': [250, 200],
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'Jensen-Shannon distance': 0.815
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}
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]
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],
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index=pd.Index(
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[
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'some batch code'
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],
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name='VAX_LOT')),
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check_dtype=True)
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@@ -0,0 +1,641 @@
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# ----------------------------------------
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# HowBadIsMyBatch
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# Batchcode By Country-Country By Clicked Batchcode
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# 20230826-20230826
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# ----------------------------------------
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Clicked Batchcode,Country,Event count
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,,4974,Grand total
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#006B21A,United States,1
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#FC3180,United States,1
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000004A,Italy,1
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000004A 19/03/2,Italy,1
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000050A,Germany,1
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000124A,Germany,1
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000128A,Germany,1
|
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000130A,Germany,1
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000140A,Germany,1
|
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000141A,Germany,1
|
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000142A,Netherlands,1
|
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000207A,Germany,1
|
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0009C21A,Germany,1
|
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0009C21A,United States,1
|
||||
001J21-2A,United States,1
|
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0022B21A,United States,1
|
||||
002A221A,United States,1
|
||||
002CZ1A,United States,1
|
||||
002F21A,United States,1
|
||||
003J212A,United States,1
|
||||
004F21A,United States,1
|
||||
004M20A,United States,1
|
||||
005C21A,United States,1
|
||||
006M20A,United States,1
|
||||
007C21A,United States,1
|
||||
007J21-2A,United States,1
|
||||
007MZ0A,United States,1
|
||||
008B21A,United States,1
|
||||
010M20A,United States,1
|
||||
011A21A,United States,1
|
||||
012H21B-MODERNA,United States,1
|
||||
012L20A,United States,1
|
||||
013120A,Germany,1
|
||||
013L20A,United States,1
|
||||
013M20A OR 0BM2,United States,1
|
||||
014M2DA,United States,1
|
||||
016G21A,Italy,1
|
||||
016M2UA,United States,1
|
||||
01DE/A90001668/,Germany,1
|
||||
023C21A,United States,1
|
||||
023H22A,United States,1
|
||||
023M2OA,United States,1
|
||||
025L20A,United States,1
|
||||
026821A,United States,1
|
||||
026A21A,United States,1
|
||||
028L20A,United States,1
|
||||
029L20A,United States,1
|
||||
030A21A,United States,1
|
||||
030G22B,United States,1
|
||||
031M20A,United States,1
|
||||
032H21A,United States,1
|
||||
032L2OA,United States,1
|
||||
033F21A,United States,1
|
||||
036A21A,United States,1
|
||||
037B21A,United States,1
|
||||
037F21A,United States,1
|
||||
037K2OA,United States,1
|
||||
038A21A,United States,1
|
||||
038D21A,Guatemala,1
|
||||
038K20A,United States,1
|
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039K20A,Canada,1
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||||
039K20A,Iran,1
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||||
043821A,United States,1
|
||||
0471321A,United States,1
|
||||
047B12A,United States,1
|
||||
049C21A,United States,1
|
||||
049L21A-MODERNA,United States,1
|
||||
050E21A,United States,1
|
||||
052C21A,Canada,1
|
||||
059H21A,United States,1
|
||||
062H21A,Canada,1
|
||||
067H21A,United States,1
|
||||
068H21A,United States,1
|
||||
069H21A,United States,1
|
||||
092D21A,Canada,1
|
||||
094F21A,Italy,1
|
||||
1110-20-026L20A,United States,1
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||||
1111-20-EW0153,United States,1
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||||
1111-20-EW0167,United States,1
|
||||
1111-20-EW0168,United States,1
|
||||
1111-20-EW0171,United States,1
|
||||
1111-20-FE3592,United States,1
|
||||
1111-20-FF2593,Canada,1
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||||
1111-20-FH8027,United States,1
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||||
1805018,United States,1
|
||||
1805020,United States,1
|
||||
1820095,United States,1
|
||||
1822809,United States,1
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||||
1822811,United States,1
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||||
1C007A,Germany,1
|
||||
1CO11A,Germany,1
|
||||
1D015A,Germany,1
|
||||
1D017A,Germany,1
|
||||
1DO16A,France,1
|
||||
1E024A,Germany,1
|
||||
1E029A,Germany,1
|
||||
1F1007A,Austria,1
|
||||
1F1008A,Netherlands,1
|
||||
1F1009A,Netherlands,1
|
||||
1F1021A,Germany,1
|
||||
1F1022A,Germany,1
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||||
1F1023A,Germany,1
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||||
1F1049A,Germany,1
|
||||
1F1050A,Germany,1
|
||||
1F1054A,Germany,1
|
||||
1F1054A,Italy,1
|
||||
1G040A,Germany,1
|
||||
1G044A,Austria,1
|
||||
1H048A,Germany,1
|
||||
1H048A,Poland,1
|
||||
203A21A,United States,1
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||||
206A21A,United States,1
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||||
210004,Germany,1
|
||||
211D21A,United States,1
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||||
214003,Italy,1
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||||
216044,Germany,1
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||||
21C1005,Poland,1
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||||
3001442,Poland,1
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||||
3001651,Germany,1
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||||
3002334,Germany,1
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||||
3002537,Netherlands,1
|
||||
3002541,Switzerland,1
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||||
3002543,Italy,1
|
||||
3002544,Poland,1
|
||||
30025TB,France,1
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||||
3003604,Netherlands,1
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||||
3004215,Switzerland,1
|
||||
3004732,Germany,1
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||||
3005687,Italy,1
|
||||
3005840,Germany,1
|
||||
30145BA,United States,1
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||||
301558A,United States,1
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||||
30380777700688,Germany,1
|
||||
32030BD,United States,1
|
||||
33030BD,United States,1
|
||||
33030BD-PFIZER-,United States,1
|
||||
3303680,United States,1
|
||||
330368D,United States,1
|
||||
33038D,United States,1
|
||||
3313OBA,United States,1
|
||||
34397TB,Germany,1
|
||||
4301MF009,Germany,1
|
||||
49269018,Australia,1
|
||||
49269018,Italy,1
|
||||
49269044,Australia,1
|
||||
49283017,Australia,1
|
||||
7006320006,Germany,1
|
||||
939903,United States,1
|
||||
AA1234,Italy,1
|
||||
ABV4678,Italy,1
|
||||
ABW2586,Italy,1
|
||||
ABY4057,Belgium,1
|
||||
ACB4692,Germany,1
|
||||
ACB5317,Germany,1
|
||||
ACB9471,Germany,1
|
||||
B1F1024A,Germany,1
|
||||
BNT162B2,United States,1
|
||||
CH-B:ER7812,Germany,1
|
||||
CH.-B.: FD7958,Germany,1
|
||||
CH.-B.: SCWF3,Germany,1
|
||||
CH.-B.:1C011A,Germany,1
|
||||
CH.-B.:FE6975,Germany,1
|
||||
CH.B.:1C007A,Netherlands,1
|
||||
CH.B.:EX3599,Germany,1
|
||||
COMIRNATY EX867,Germany,1
|
||||
EJ2163,Sweden,1
|
||||
EJ6789,France,1
|
||||
EJ6789,United States,1
|
||||
EJ6790,Germany,1
|
||||
EJ6796,United States,1
|
||||
EK5730 PFIZER,United States,1
|
||||
EL0725,Italy,1
|
||||
EL3246,Poland,1
|
||||
EL3246,United States,1
|
||||
EL3247,Poland,1
|
||||
EL3247,United States,1
|
||||
EL8723,Germany,1
|
||||
EL9267,United States,1
|
||||
EM4965,United Kingdom,1
|
||||
EN1698,United States,1
|
||||
EN6201,United States,1
|
||||
EN6202,United States,1
|
||||
EN6205,United States,1
|
||||
EN6208,United States,1
|
||||
EN6955,United States,1
|
||||
EP 2163,Sweden,1
|
||||
EP6775,Panama,1
|
||||
EP7533,Poland,1
|
||||
EP9598,United States,1
|
||||
EP9605,Switzerland,1
|
||||
ER7934,United Kingdom,1
|
||||
ER8731,Mongolia,1
|
||||
ER8733,United States,1
|
||||
ER8734,United States,1
|
||||
ER8735,United States,1
|
||||
ER8737,United States,1
|
||||
ER9480,Germany,1
|
||||
ER9480,Netherlands,1
|
||||
ET 9096,Belgium,1
|
||||
ET3674,United States,1
|
||||
ET8885,United Kingdom,1
|
||||
EW 0153,United States,1
|
||||
EW0162,United States,1
|
||||
EW0164,United States,1
|
||||
EW0169,United States,1
|
||||
EW0179,United States,1
|
||||
EW0182,United States,1
|
||||
EW0185,Poland,1
|
||||
EW0189,United States,1
|
||||
EW0193,Canada,1
|
||||
EW153,United States,1
|
||||
EW3143-L687,United Kingdom,1
|
||||
EW3344,Singapore,1
|
||||
EW4109,United Kingdom,1
|
||||
EW6126,Belgium,1
|
||||
EW6126,United States,1
|
||||
EW8904,Germany,1
|
||||
EX 8679,Germany,1
|
||||
EX0893,Austria,1
|
||||
EX3599,Montenegro,1
|
||||
EX6537,Netherlands,1
|
||||
EX7389,Italy,1
|
||||
EX7823,Netherlands,1
|
||||
EY0573,Germany,1
|
||||
EY7015,Croatia,1
|
||||
FA4598,Australia,1
|
||||
FA5833,Germany,1
|
||||
FA7338,Australia,1
|
||||
FA7812,Australia,1
|
||||
FA7842,Poland,1
|
||||
FA8016,Italy,1
|
||||
FA9091,Canada,1
|
||||
FA9094,Canada,1
|
||||
FC 1433,Poland,1
|
||||
FC1433,Poland,1
|
||||
FC1436,Germany,1
|
||||
FC2473,Austria,1
|
||||
FC3095,Germany,1
|
||||
FC3180,United States,1
|
||||
FC3181,United States,1
|
||||
FC3182,United States,1
|
||||
FC3184,United States,1
|
||||
FC3558,Italy,1
|
||||
FC3661,Belgium,1
|
||||
FC3661,Switzerland,1
|
||||
FC5089,Italy,1
|
||||
FC5435,Italy,1
|
||||
FC6984,France,1
|
||||
FC8736,Australia,1
|
||||
FC8889,Germany,1
|
||||
FD0348,Germany,1
|
||||
FD0785,Spain,1
|
||||
FD1921,Switzerland,1
|
||||
FD2934,Germany,1
|
||||
FD4342,Croatia,1
|
||||
FD4342,Poland,1
|
||||
FD5996,Germany,1
|
||||
FD6840,Czechia,1
|
||||
FD7204,Canada,1
|
||||
FD9234,France,1
|
||||
FE 8405,Germany,1
|
||||
FE1248,France,1
|
||||
FE1510,United Kingdom,1
|
||||
FE2083,Denmark,1
|
||||
FE2707,Switzerland,1
|
||||
FE3064,Australia,1
|
||||
FE3065,Spain,1
|
||||
FE3380,United Kingdom,1
|
||||
FE3544,Austria,1
|
||||
FE3590,United States,1
|
||||
FE3594,United States,1
|
||||
FE3594-PFIZER-2,United States,1
|
||||
FE7010,Netherlands,1
|
||||
FE8087,Singapore,1
|
||||
FE8163,Australia,1
|
||||
FE8236,Ireland,1
|
||||
FE8244,Czechia,1
|
||||
FE8244,Netherlands,1
|
||||
FE8405,Germany,1
|
||||
FE8405,Spain,1
|
||||
FE9174,Germany,1
|
||||
FF 0900,Germany,1
|
||||
FF0680,Germany,1
|
||||
FF0900,Germany,1
|
||||
FF2382,United Kingdom,1
|
||||
FF2500,Canada,1
|
||||
FF2507,Canada,1
|
||||
FF25595,Canada,1
|
||||
FF2570,Canada,1
|
||||
FF2581,Canada,1
|
||||
FF2586,Canada,1
|
||||
FF2588,United States,1
|
||||
FF2589,Canada,1
|
||||
FF2593,United States,1
|
||||
FF2597,Canada,1
|
||||
FF3220,Japan,1
|
||||
FF3316,United Kingdom,1
|
||||
FF3318,Canada,1
|
||||
FF3318,Ireland,1
|
||||
FF3318,United Kingdom,1
|
||||
FF3319,Canada,1
|
||||
FF3389,Canada,1
|
||||
FF3389,United Kingdom,1
|
||||
FF3620,Japan,1
|
||||
FF4202,Canada,1
|
||||
FF4204,Canada,1
|
||||
FF4206,Australia,1
|
||||
FF4222,Canada,1
|
||||
FF4481,Canada,1
|
||||
FF4554,Netherlands,1
|
||||
FF8288,Italy,1
|
||||
FG3712,Australia,1
|
||||
FG3739,Italy,1
|
||||
FG6273,Netherlands,1
|
||||
FH0161,Switzerland,1
|
||||
FH8028,United States,1
|
||||
FH8030,United States,1
|
||||
FH9951,Italy,1
|
||||
FJ1611,United States,1
|
||||
FJ5683,United States,1
|
||||
FJ5973,Sweden,1
|
||||
FJ7489,Japan,1
|
||||
FJS682,United States,1
|
||||
FK6304,Austria,1
|
||||
FK6304,Sweden,1
|
||||
FK8917,Portugal,1
|
||||
FK9414,New Zealand,1
|
||||
FK9729,United States,1
|
||||
FK9894,United States,1
|
||||
FL0007,United States,1
|
||||
FL3198,United States,1
|
||||
FL3211,Poland,1
|
||||
FL3560,Australia,1
|
||||
FL5729,New Zealand,1
|
||||
FL9262,United States,1
|
||||
FM0698,United States,1
|
||||
FM3802,United States,1
|
||||
FM7380,Canada,1
|
||||
FM7533,Croatia,1
|
||||
FM9992,Poland,1
|
||||
FN1430,Switzerland,1
|
||||
FN2034,United Kingdom,1
|
||||
FN5519,United States,1
|
||||
FN7934,Canada,1
|
||||
FN9501,Canada,1
|
||||
FN9605,Portugal,1
|
||||
FN9607,Portugal,1
|
||||
FP1972,Germany,1
|
||||
FP1972,Italy,1
|
||||
FP7136,United States,1
|
||||
FP7137-PFIZER-2,United States,1
|
||||
GD6797,Croatia,1
|
||||
GD6802,Sweden,1
|
||||
GE8310,Italy,1
|
||||
GH9722,Austria,1
|
||||
GJ1836,Germany,1
|
||||
GJ2542,Netherlands,1
|
||||
GJ2631,Sweden,1
|
||||
GJ5342,United States,1
|
||||
GJ6739,United States,1
|
||||
GK0932,Canada,1
|
||||
GL0087,United States,1
|
||||
GL8592,Germany,1
|
||||
J&J 1805029,United States,1
|
||||
J07BX03,France,1
|
||||
J202100034,United States,1
|
||||
L202106031,Philippines,1
|
||||
L202106046,Philippines,1
|
||||
LOT 3002339,Germany,1
|
||||
LOT 3004233,Germany,1
|
||||
LOT 3004235,Netherlands,1
|
||||
LOT XE393,Germany,1
|
||||
LOT000086A,United States,1
|
||||
LOT000140A,Germany,1
|
||||
LOT3002188,Germany,1
|
||||
LOT3004233,France,1
|
||||
LOT3004952,Norway,1
|
||||
MRNA-1273,Canada,1
|
||||
NA0079,Canada,1
|
||||
P0001340,Poland,1
|
||||
PFIZER EN6198,United States,1
|
||||
PFIZER EN6201,United States,1
|
||||
PFIZER EN6202,United States,1
|
||||
PFIZER EN6205,United States,1
|
||||
PFIZER EN6207,United States,1
|
||||
PFIZER EN6208,United States,1
|
||||
PFIZER ER2613,United States,1
|
||||
PFIZER ER8730,United States,1
|
||||
PFIZER ER8733,United States,1
|
||||
PFIZER EW0150,United States,1
|
||||
PFIZER EW0164,United States,1
|
||||
PFIZER EW0167,United States,1
|
||||
PFIZER EW0171,United States,1
|
||||
PFIZER EW0172,United States,1
|
||||
PFIZER EW0177,United States,1
|
||||
PFIZER FC3182,United States,1
|
||||
PFIZER FF2588,Canada,1
|
||||
PFIZER FJ8762,United States,1
|
||||
PFIZER-BIONTECH,Poland,1
|
||||
PJ4989,United States,1
|
||||
PV46672,United Kingdom,1
|
||||
PV46677,United Kingdom,1
|
||||
PV46691,United Kingdom,1
|
||||
PV46698,United Kingdom,1
|
||||
PW40010,United Kingdom,1
|
||||
PW40011,United Kingdom,1
|
||||
PW40037,United Kingdom,1
|
||||
SCKX 7,Switzerland,1
|
||||
SCKX7,Poland,1
|
||||
SCKX7,Switzerland,1
|
||||
SCPT7,Germany,1
|
||||
SCRW2,Germany,1
|
||||
SCTJ2,Germany,1
|
||||
SCUL2,Germany,1
|
||||
SCVC6,Germany,1
|
||||
SCVK4,Sweden,1
|
||||
SCVY8,Germany,1
|
||||
SDCH8,Sweden,1
|
||||
SDEW9,Germany,1
|
||||
SL0007,Germany,1
|
||||
XD974,Germany,1
|
||||
XE389,Sweden,1
|
||||
001B21A,United States,2
|
||||
002A21A,United States,2
|
||||
006C21A,United States,2
|
||||
010A21A,United States,2
|
||||
016G21A (27/04/,Italy,2
|
||||
019B21A,United States,2
|
||||
023M20A,United States,2
|
||||
030L20A,United States,2
|
||||
032L20A,United States,2
|
||||
032M20A,United States,2
|
||||
047B21A,United States,2
|
||||
047C21A,United States,2
|
||||
1808982,United States,2
|
||||
1E021A,Germany,2
|
||||
1F1010A,Germany,2
|
||||
1F1020A,Italy,2
|
||||
1F1032A,Germany,2
|
||||
1F1042A,Germany,2
|
||||
1F1051A,Germany,2
|
||||
205A21A,United States,2
|
||||
3002917,Italy,2
|
||||
3004233,Germany,2
|
||||
3004669,Italy,2
|
||||
3005686,United Kingdom,2
|
||||
301358A,United States,2
|
||||
331308A,United States,2
|
||||
33130BA,United States,2
|
||||
33233TB,Germany,2
|
||||
4120Z003,United Kingdom,2
|
||||
ABZ5320,Germany,2
|
||||
ACB4694,Germany,2
|
||||
ACB7737,Germany,2
|
||||
ACC0681,Germany,2
|
||||
CH.-B.:FD7958,Germany,2
|
||||
COMIRNATY CH.-B,Germany,2
|
||||
EH6198,United States,2
|
||||
EJ6789,Germany,2
|
||||
EJ6797,Germany,2
|
||||
EK9788,United States,2
|
||||
EL3302,United States,2
|
||||
EL9262,United States,2
|
||||
EL9263,United States,2
|
||||
EN3924,United Kingdom,2
|
||||
EN6198,United States,2
|
||||
EN6200,United States,2
|
||||
EN6201,Canada,2
|
||||
EN6204,United States,2
|
||||
EN6207,United States,2
|
||||
EP2163,Germany,2
|
||||
EP2163,Sweden,2
|
||||
ER1742,Canada,2
|
||||
ER7812,Germany,2
|
||||
ER8731,United States,2
|
||||
ER8732,United States,2
|
||||
ET3620,Czechia,2
|
||||
EW0153,United States,2
|
||||
EW0158,United States,2
|
||||
EW0167,United States,2
|
||||
EW0172,United States,2
|
||||
EW0175,United States,2
|
||||
EW0176,United States,2
|
||||
EW0177,United States,2
|
||||
EW0185,United States,2
|
||||
EW0191,United States,2
|
||||
EW0196,United States,2
|
||||
EW0199,Canada,2
|
||||
EW0217,United States,2
|
||||
EW3143,United Kingdom,2
|
||||
EWO150,United States,2
|
||||
EX2405,Belgium,2
|
||||
EX7823,Germany,2
|
||||
EX8680,Germany,2
|
||||
FA7812,Belgium,2
|
||||
FC3558,Australia,2
|
||||
FD0785,Netherlands,2
|
||||
FD0809,United States,2
|
||||
FD0810,Canada,2
|
||||
FD7958,Germany,2
|
||||
FE1573,Netherlands,2
|
||||
FE6975,Germany,2
|
||||
FE7011,Germany,2
|
||||
FF0884,Australia,2
|
||||
FF3318,Germany,2
|
||||
FF3622,Japan,2
|
||||
FF9944,Japan,2
|
||||
FG1657,Singapore,2
|
||||
FG6270,Italy,2
|
||||
FH8027,United States,2
|
||||
FJ1614,United States,2
|
||||
FK9707,United Kingdom,2
|
||||
FL3209,United States,2
|
||||
FL3560,Switzerland,2
|
||||
FP7137,United States,2
|
||||
GH9694,United States,2
|
||||
LOT3004233,Germany,2
|
||||
PFIZER EK5730,United States,2
|
||||
PV46689,United Kingdom,2
|
||||
SCJU6,Germany,2
|
||||
SCVW7,Germany,2
|
||||
SDEH4,Germany,2
|
||||
XD985,Germany,2
|
||||
XE395,Germany,2
|
||||
(not set),Guadeloupe,3
|
||||
(not set),India,3
|
||||
(not set),Malaysia,3
|
||||
024M20A,United States,3
|
||||
026L20A,United States,3
|
||||
027A21A,United States,3
|
||||
1H049A,Germany,3
|
||||
31101TB,Germany,3
|
||||
ACB8967,Germany,3
|
||||
CH.-B.: EX8680,Germany,3
|
||||
CH.-B.:FC3095,Germany,3
|
||||
EJ6796,Germany,3
|
||||
EK9788,Germany,3
|
||||
EL1283,United States,3
|
||||
EM0477,Germany,3
|
||||
EP2163,Czechia,3
|
||||
EP6955,United States,3
|
||||
EP7534,United States,3
|
||||
ER2659,Germany,3
|
||||
ER8736,United States,3
|
||||
EW0150,United States,3
|
||||
EW0171,United States,3
|
||||
EW0216,Canada,3
|
||||
EW0221,Canada,3
|
||||
EX8679,Germany,3
|
||||
EY3014,Switzerland,3
|
||||
FD0932,Switzerland,3
|
||||
FE2083,Norway,3
|
||||
FE3592,United States,3
|
||||
FF2590,United States,3
|
||||
FF2595,Canada,3
|
||||
FF2834,Netherlands,3
|
||||
FF3380,United Kingdom,3
|
||||
FF4222,Spain,3
|
||||
FG7369,Belgium,3
|
||||
FJ5790,Japan,3
|
||||
FK9712,United Kingdom,3
|
||||
FK9893,United States,3
|
||||
PFIZER EN5318,United States,3
|
||||
SCWF3,Germany,3
|
||||
(not set),Costa Rica,4
|
||||
(not set),Jordan,4
|
||||
(not set),Luxembourg,4
|
||||
(not set),Mexico,4
|
||||
(not set),Montenegro,4
|
||||
(not set),Panama,4
|
||||
(not set),Peru,4
|
||||
(not set),Philippines,4
|
||||
(not set),Thailand,4
|
||||
(not set),Uruguay,4
|
||||
33036BD,United States,4
|
||||
EL0739,United Kingdom,4
|
||||
EP9598,Germany,4
|
||||
EW0168,United States,4
|
||||
EWO169,United States,4
|
||||
EX3510,Germany,4
|
||||
FE8235,Switzerland,4
|
||||
FF2589,United States,4
|
||||
FF4213,France,4
|
||||
FF5109,Canada,4
|
||||
FH8020,United States,4
|
||||
(not set),Colombia,5
|
||||
(not set),Croatia,5
|
||||
(not set),Dominican Republic,5
|
||||
(not set),Russia,5
|
||||
(not set),Singapore,5
|
||||
(not set),Slovenia,5
|
||||
49283017,Italy,5
|
||||
ET3045,Germany,5
|
||||
FD7206,Canada,5
|
||||
(not set),Argentina,6
|
||||
(not set),Guatemala,7
|
||||
(not set),Sri Lanka,7
|
||||
FF8841,United States,7
|
||||
(not set),China,8
|
||||
(not set),Türkiye,8
|
||||
(not set),Chile,9
|
||||
(not set),Denmark,9
|
||||
(not set),Lebanon,9
|
||||
(not set),Paraguay,9
|
||||
FA8721,Canada,9
|
||||
(not set),South Korea,10
|
||||
(not set),Mongolia,11
|
||||
(not set),Hungary,12
|
||||
(not set),Ireland,12
|
||||
(not set),New Zealand,12
|
||||
(not set),Finland,13
|
||||
(not set),Portugal,14
|
||||
(not set),Iran,18
|
||||
(not set),Israel,18
|
||||
(not set),Norway,21
|
||||
(not set),Brazil,23
|
||||
(not set),Czechia,29
|
||||
(not set),Belgium,53
|
||||
(not set),Sweden,59
|
||||
(not set),Switzerland,64
|
||||
(not set),Japan,71
|
||||
(not set),Austria,82
|
||||
(not set),Spain,83
|
||||
(not set),Australia,94
|
||||
(not set),France,130
|
||||
(not set),Italy,195
|
||||
(not set),United Kingdom,195
|
||||
(not set),Netherlands,197
|
||||
(not set),Poland,201
|
||||
(not set),Canada,234
|
||||
(not set),Germany,812
|
||||
(not set),United States,1348
|
||||
|
||||
|
Reference in New Issue
Block a user