Publication:

Concerns Around Opposition to the Green Pass in Italy: Social Listening Analysis by Using a Mixed Methods Approach

Date

Date

Date
2022
Journal Article
Published version

Citations

Citation copied

Spitale, G., Biller-Andorno, N., & Germani, F. (2022). Concerns Around Opposition to the Green Pass in Italy: Social Listening Analysis by Using a Mixed Methods Approach. Journal of Medical Internet Research, 24, e34385. https://doi.org/10.2196/34385

Abstract

Abstract

Abstract

Background: The recent introduction of COVID-19 certificates in several countries, including the introduction of the European green pass, has been met with protests and concerns by a fraction of the population. In Italy, the green pass has been used as a nudging measure to incentivize vaccinations because a valid green pass is needed to enter restaurants, bars, museums, or stadiums. As of December 2021, a valid green pass can be obtained by being fully vaccinated with an approved vaccine, recovered from COVID-19, or tested. However, a

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
24

Number

Number

Number
2

Page range/Item number

Page range/Item number

Page range/Item number
e34385

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Health Informatics

Language

Language

Language
English

Publication date

Publication date

Publication date
2022-02-16

Date available

Date available

Date available
2022-02-17

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1438-8871

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
Pubmed ID

PubMed ID

PubMed ID

PubMed ID

Citations

Citation copied

Spitale, G., Biller-Andorno, N., & Germani, F. (2022). Concerns Around Opposition to the Green Pass in Italy: Social Listening Analysis by Using a Mixed Methods Approach. Journal of Medical Internet Research, 24, e34385. https://doi.org/10.2196/34385

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