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Characterising information gains and losses when collecting multiple epidemic model outputs

Research article (Epidemics, 2024) · cited 11× · AI/ML
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Characterising information gains and losses when collecting multiple epidemic model outputs

Summary

Characterising information gains and losses when collecting multiple epidemic model outputs is a scholarly article[1].

Key Facts

  • Characterising information gains and losses when collecting multiple epidemic model outputs's instance of is recorded as scholarly article[2].

Related Entities

Jesus Carretero Kai Nagel Tim Conrad

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Characterising information gains and losses when collecting multiple epidemic model outputs. Retrieved May 24, 2026, from https://4ort.xyz/entity/characterising-information-gains-and-losses-when-collecting-multiple-epidemic-model-outputs
MLA “Characterising information gains and losses when collecting multiple epidemic model outputs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characterising-information-gains-and-losses-when-collecting-multiple-epidemic-model-outputs.
BibTeX @misc{4ortxyz_characterising-information-gains-and-losses-when-collecting-multiple-epidemic-model-outputs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characterising information gains and losses when collecting multiple epidemic model outputs}}, year = {2026}, url = {https://4ort.xyz/entity/characterising-information-gains-and-losses-when-collecting-multiple-epidemic-model-outputs}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Characterising information gains and losses when collecting multiple epidemic model outputs — https://4ort.xyz/entity/characterising-information-gains-and-losses-when-collecting-multiple-epidemic-model-outputs (retrieved 2026-05-24)

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