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Describing a landscape we are yet discovering

MPG-Autoren
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Contreras,  Sebastian
Max Planck Research Group Neural Systems Theory, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Dehning,  Jonas
Max Planck Research Group Neural Systems Theory, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Priesemann,  Viola
Max Planck Research Group Neural Systems Theory, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Zitation

Contreras, S., Dehning, J., & Priesemann, V. (2022). Describing a landscape we are yet discovering. AStA Advances in Statistical Analysis. doi:10.1007/s10182-022-00449-5.


Zitierlink: https://hdl.handle.net/21.11116/0000-000A-A105-A
Zusammenfassung
At the beginning of the COVID-19 pandemic, very little was known about both
the disease and the virus that caused it. As more information became available, the
public awareness reached unprecedented scales; epidemiological terms such as incidence or reproduction number infected our daily conversations. Consequently, high
pressure fell on the shoulders of policymakers, who were expected to point us to
the way out of this global health threat. However, whom do we ask when we all are
still learning? We would say, “let us build a model!”. In their manuscript, Jahn and
coauthors present a comprehensive overview of models and their role in evidence-based decision-making. They categorize different models according to their purpose
and illustrate how they have served different purposes in the context of the ongoing
pandemic.