Estimation of death under-counting by comparing seroprevalence.
收藏NIAID Data Ecosystem2026-03-14 收录
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https://figshare.com/articles/dataset/Estimation_of_death_under-counting_by_comparing_seroprevalence_/21390175
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The first column lists each district of Karnataka (as on Sept 2020). The second column provides the seropositivity estimate as obtained in a serosurvey across the first two weeks of September 2020. The third column provides our estimate of the potential death undercounting in that district, , represented by the ratio of seropositivity to the actual number of reported infected. Since death overcounting is not possible, the minimum value of can only be 1. The uncertainty on this number is obtained by propagating the 95% uncertainties from the serosurvey reports to our prediction of actual infection. In cases the lower bound on goes below 1, we present the mean value and the range from 1 as an upper bound in parentheses. In a few cases we just present 1 as an upper bound, representing those cases where even the upper limit is less than or equal to 1.
第一列列出了截至2020年9月的卡纳塔克邦(Karnataka)各行政区。第二列给出了2020年9月前两周开展的血清学调查(serosurvey)所得的血清阳性率估计值。第三列给出了我们对该行政区潜在死亡病例漏报情况的估计值,该估计值以血清阳性率与报告确诊感染人数的比值进行表征。由于死亡病例不可能出现多报情况,因此该指标的最小值仅为1。该指标的不确定度通过将血清学调查报告中的95%置信不确定度传播至我们的实际感染预测值中获得。当该指标的置信下限低于1时,我们将给出其均值,并将以1作为上限的取值范围置于括号内。在少数场景下我们仅给出1作为上限,这对应即使该指标的置信上限也小于或等于1的情况。
创建时间:
2022-10-24



