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Study on the most affected sectors and the factors contributing to workplaces in certain sectors becoming vectors in the spread of COVID-19

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Dossier

Study on the most affected sectors and the factors contributing to workplaces in certain sectors becoming vectors in the spread of COVID-19

Schriftelijke vraag | - | source: parliamentary_questions

Open bronpagina Leesbare metadata Wikipedia zoeken

Pfizer en covid

11Actors

1Signals

9EP term

Actors

Agnes Jongerius

Role: co-author

Method: name-normalized | confidence 0.7500

Alex Agius Saliba

Role: co-author

Method: name-normalized | confidence 0.7500

Alicia Homs Ginel

Role: co-author

Method: name-normalized | confidence 0.7500

Estrella Durá Ferrandis

Role: co-author

Method: name-normalized | confidence 0.7500

Evelyn Regner

Role: co-author

Method: name-normalized | confidence 0.7500

Johan Danielsson

Role: co-author

Method: name-normalized | confidence 0.7500

Klára Dobrev

Role: co-author

Method: name-normalized | confidence 0.7500

Manuel Pizarro

Role: co-author

Method: name-normalized | confidence 0.7500

Marc Angel

Role: co-author

Method: name-normalized | confidence 0.7500

Marianne Vind

Role: co-author

Method: name-normalized | confidence 0.7500

Milan Brglez

Role: co-author

Method: name-normalized | confidence 0.7500

Sources and context Source text and aggregated content + Provenance and audit

Source text and aggregated content

Studie naar de zwaarst getroffen sectoren en naar de factoren die ertoe bijdragen dat de werkplekken in bepaalde sectoren vectoren van de verspreiding van COVID-19-worden
Study on the most affected sectors and the factors contributing to workplaces in certain sectors becoming vectors in the spread of COVID-19

Provenance and audit

This block makes visible which source layer and datapoints the current view is based on.

Source layer parliamentary_questions

Canonical identifier E-9-2021-001271

Official source URL https://data.europarl.europa.eu/eli/dl/doc/E-9-2021-001271

Title and language layer English primary, Dutch fallback

EP term 9

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Keywords: Study on the most affected sectors and the factors contributing to workplaces in certain sectors becoming vectors in th…

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Supporting layers Signals

Signals

topic-match / pfizer-covid

Value: 0.8000

Studie naar de zwaarst getroffen sectoren en naar de factoren die ertoe bijdragen dat de werkplekken in bepaalde sectoren vectoren van de verspreiding van COVID-19-worden Study on the most affected sectors and the factors contributing to wo

Linked vote events Votes and seat distribution

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