Berkeley Center for Cosmological Physics, Department of Physics, University of California, Berkeley, CA, USA.
Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA, USA.
Nat Commun. 2021 May 12;12(1):2729. doi: 10.1038/s41467-021-22944-0.
Estimating rates of COVID-19 infection and associated mortality is challenging due to uncertainties in case ascertainment. We perform a counterfactual time series analysis on overall mortality data from towns in Italy, comparing the population mortality in 2020 with previous years, to estimate mortality from COVID-19. We find that the number of COVID-19 deaths in Italy in 2020 until September 9 was 59,000-62,000, compared to the official number of 36,000. The proportion of the population that died was 0.29% in the most affected region, Lombardia, and 0.57% in the most affected province, Bergamo. Combining reported test positive rates from Italy with estimates of infection fatality rates from the Diamond Princess cruise ship, we estimate the infection rate as 29% (95% confidence interval 15-52%) in Lombardy, and 72% (95% confidence interval 36-100%) in Bergamo.
由于病例确诊的不确定性,估计 COVID-19 感染率和相关死亡率具有挑战性。我们对意大利城镇的总体死亡率数据进行了反事实时间序列分析,将 2020 年的人口死亡率与前几年进行比较,以估计 COVID-19 导致的死亡率。我们发现,截至 9 月 9 日,意大利 2020 年的 COVID-19 死亡人数为 5.9 万至 6.2 万,而官方数字为 3.6 万。在受影响最严重的伦巴第地区,死亡人口占总人口的 0.29%,在受影响最严重的贝加莫省,死亡人口占总人口的 0.57%。结合意大利报告的阳性检测率和钻石公主号游轮的感染病死率估计,我们估计伦巴第地区的感染率为 29%(95%置信区间为 15-52%),贝加莫地区的感染率为 72%(95%置信区间为 36-100%)。