Proximity ascertainment bias in early COVID case locations
比较早期新冠病例中与华南海鲜市场有关联和无关联的病例距离，发现结果与无邻近确认偏差的模型不符，表明该偏差很大，基于病例位置聚集的推断不可靠。
Abstract 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.