4.7 Article

Improving Public Health Policy by Comparing the Public Response during the Start of COVID-19 and Monkeypox on Twitter in Germany: A Mixed Methods Study

期刊

VACCINES
卷 10, 期 12, 页码 -

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MDPI
DOI: 10.3390/vaccines10121985

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monkeypox; COVID-19; thematic analysis; Natural Language Processing; unsupervised machine learning; public health policy

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This study analyzed tweets from Germany during the COVID-19 pandemic and the monkeypox outbreak to examine public concerns. The findings suggest that the public has different views towards these two diseases, with a focus on spread and response during COVID-19 and an impersonal attitude towards monkeypox. The study recommends a targeted and strategic approach in public health campaigns to educate the public about preventive measures and updates.
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.

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