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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.08680 |
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| _version_ | 1866916252477292544 |
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| author | Weissman, M. B. |
| author_facet | Weissman, M. B. |
| contents | A comparison of the distances to the Huanan Seafood Market of early Covid cases with known links to the market versus cases without known links shows results apparently incompatible with a location model lacking proximity ascertainment bias. The sign of the difference instead agrees with a model in which such ascertainment bias is large. In the presence of such bias inferences based on the clustering of case locations become unreliable. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_08680 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Proximity Ascertainment Bias in Early Covid Case Locations Weissman, M. B. Physics and Society A comparison of the distances to the Huanan Seafood Market of early Covid cases with known links to the market versus cases without known links shows results apparently incompatible with a location model lacking proximity ascertainment bias. The sign of the difference instead agrees with a model in which such ascertainment bias is large. In the presence of such bias inferences based on the clustering of case locations become unreliable. |
| title | Proximity Ascertainment Bias in Early Covid Case Locations |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2401.08680 |