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Verfasst von:Al-Ahdal, Tareq [VerfasserIn]   i
 Coker, David [VerfasserIn]   i
 Awad, Hamzeh [VerfasserIn]   i
 Reda, Abdullah [VerfasserIn]   i
 Żuratyński, Przemysław [VerfasserIn]   i
 Khailaie, Sahamoddin [VerfasserIn]   i
Titel:Improving public health policy by comparing the public response during the start of COVID-19 and Monkeypox on Twitter in Germany
Titelzusatz:a mixed methods study
Verf.angabe:Tareq AL-Ahdal, David Coker, Hamzeh Awad, Abdullah Reda, Przemysław Żuratyński and Sahamoddin Khailaie
E-Jahr:2022
Jahr:22 November 2022
Umfang:12 S.
Fussnoten:Gesehen am 31.01.2023
Titel Quelle:Enthalten in: Vaccines
Ort Quelle:Basel : MDPI, 2013
Jahr Quelle:2022
Band/Heft Quelle:10(2022), 12 vom: Nov., Artikel-ID 1985, Seite 1-12
ISSN Quelle:2076-393X
Abstract:Little is known about monkeypox public concerns since its widespread emergence in many countries. Tweets in Germany were examined in the first three months of COVID-19 and monkeypox to examine concerns and issues raised by the public. Understanding views and positions of the public could help to shape future public health campaigns. Few qualitative studies reviewed large datasets, and the results provide the first instance of the public thinking comparing COVID-19 and monkeypox. We retrieved 15,936 tweets from Germany using query words related to both epidemics in the first three months of each one. A sequential explanatory mixed methods research joined a machine learning approach with thematic analysis using a novel rapid tweet analysis protocol. In COVID-19 tweets, there was the selfing construct or feeling part of the emerging narrative of the spread and response. In contrast, during monkeypox, the public considered othering after the fatigue of the COVID-19 response, or an impersonal feeling toward the disease. During monkeypox, coherence and reconceptualization of new and competing information produced a customer rather than a consumer/producer model. Public healthcare policy should reconsider a one-size-fits-all model during information campaigns and produce a strategic approach embedded within a customer model to educate the public about preventative measures and updates. A multidisciplinary approach could prevent and minimize mis/disinformation.
DOI:doi:10.3390/vaccines10121985
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.3390/vaccines10121985
 Volltext: https://www.mdpi.com/2076-393X/10/12/1985
 DOI: https://doi.org/10.3390/vaccines10121985
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:COVID-19
 monkeypox
 Natural Language Processing
 public health policy
 thematic analysis
 unsupervised machine learning
K10plus-PPN:1832790320
Verknüpfungen:→ Zeitschrift

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