Covid-19 Outbreak Analysis: Difference between revisions

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|Used hashtags=#corona, #coronavirus, #covid19
|Used hashtags=#corona, #coronavirus, #covid19
|Used technologies=Obi4wan
|Used technologies=Obi4wan
|Developed technology=No
|Developed technology=no
|Use cases thematic=Collecting and Analysing Information from SMCS
|Use cases thematic=Collecting and Analysing Information from SMCS
|SMCS usage problems solving=To better understand the social environment during the Covid-19 outbreak. To fine-tune the outward communication. To reduce the (societal) damage. For value creation, making sure the VRZL's messaging aligns with the needs and positioning of the surrounding community.
|SMCS usage problems solving=To better understand the social environment during the Covid-19 outbreak. To fine-tune the outward communication. To reduce the (societal) damage. For value creation, making sure the VRZL's messaging aligns with the needs and positioning of the surrounding community.
|Used platforms=Facebook, Twitter
|Used platforms=Facebook, Twitter
}}
}}

Revision as of 16:41, 2 February 2023

This use example provides a brief overview of an environment analysis using Obi4Wan. This analysis took place during the Covid-19 outbreak and was conducted by the Safety Region of South Limburg.
Hazard:
Pandemic
Year:
2020
Location:
Sittard, Zuid-Limburg, The Netherlands
Scale:
County
Publishing Organisation

unknown

Category

Real-world

Theme

Social Media

Thematic
  • Collecting and Analysing Information from SMCS
Disaster Management Phase

During

What was the overall goal of the Use Case?
To better understand the social environment during the Covid-19 outbreak. To fine-tune the outward communication. To reduce the (societal) damage. For value creation, making sure the VRZL's messaging aligns with the needs and positioning of the surrounding community.
Which social media and crowdsourcing technologies were used?
Which social media platforms were used?
Which hashtags or keywords were used?
#corona, #coronavirus, #covid19
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