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Background: The literature highlights Twitter as a vital instrument tool for health policy-makers for health communication and promotion. Furthermore, Twitter is a tool allowing us to understand the focus of people regarding a topic of interest. Objective: To provide health policy-makers with insights concerning key topics of interest in the Twitter community regarding Covid-19, and to support information search and health communication. Method: A total of 28.5M tweets have been retrieved, of which 6.9M tweets included hashtags. The data was analyzed using data science and natural language processing libraries. Qualitative analysis was performed using thematic analysis. Results: 907k different hashtags were used. Of these, only 1192 hashtags were used more than 1000 times. The qualitative analysis resulted in 13 themes. The top three themes regarding the number of hashtags used were related to Covid-19, identifying information, interventions, and geographical tagging. We explored the relationship between themes and showed how health practitioners can understand the communication in relation to specific topics expressed as hashtags (e.g., #stayhome). Conclusions: The results provide first insights for policy-makers and health practitioners to identify relevant tweets and to choose appropriate hashtags for health communication. The results also show that only with a limited number of Tweets (10 per day) health organizations could have been among the top users.

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Technology-oriented companies find themselves confronted with the challenge of having to react quickly to technology-based innovations by competitors. Especially the market launches of innovative products have the ability to change the competitive environment dramatically. This calls for the ability to discern product technologies in due time. Even though several methods of technology monitoring are based on patent information, the important time lag between patent disclosure and market launch is still unclear and volatile for reasons unknown. Therefore, we have analyzed this time lag of a respective product by way of a longitudinal case study in the field of automotive engineering. The results show that in our case, patents form a valuable information source in short-term product technology monitoring. Hence, analyzing patents in the context of product technologies and reacting to emerging products is a race against time.