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A phenomenological approach to assessing the effectiveness of COVID-19 related nonpharmaceutical interventions in Germany

机译:评估德国Covid-19相关非药物干预措施有效性的现象学方法

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Nonpharmaceutical interventions against the spread of SARS-CoV-2 in Germany included the cancellation of mass events (from March 8), closures of schools and child day care facilities (from March 16) as well as a "lockdown" (from March 23). This study attempts to assess the effectiveness of these interventions in terms of revealing their impact on infections over time. Dates of infections were estimated from official German case data by incorporating the incubation period and an empirical reporting delay. Exponential growth models for infections and reproduction numbers were estimated and investigated with respect to change points in the time series. A significant decline of daily and cumulative infections as well as reproduction numbers is found at March 8, March 10 and March 3, respectively. Further declines and stabilizations are found in the end of March. There is also a change point in new infections at April 19, but daily infections still show a negative growth. From March 19, the reproduction numbers fluctuate on a level below one. The decline of infections in early March 2020 can be attributed to relatively small interventions and voluntary behavioural changes. Additional effects of later interventions cannot be detected clearly. Liberalizations of measures from April 20 did not induce a re-increase of infections. Thus, the effectiveness of most German interventions remains questionable. Moreover, assessing of interventions is impeded by the estimation of true infection dates and the influence of test volume.
机译:德国SARS-COV-2传播的非药物干预包括取消群众活动(从3月8日起),学校和儿童日保托设施(3月16日)以及“锁定”(从3月23日起) 。本研究试图评估这些干预措施随着时间的推移对感染的影响而评估这些干预措施的有效性。通过纳入潜伏期和经验报告延迟,从官方德国案数据估计感染日期。估计了感染和再现数量的指数增长模型并对时间序列的变化点进行了估算和研究。每日和累积感染的显着下降,分别于3月10日和3月3日在3月8日和3月3日发现。进一步下降和稳定在3月底之前。 4月19日新型感染的变化点,但日常感染仍然表现出负增长。从3月19日起,再现号码在低于1的水平上波动。 2020年初感染的下降可归因于相对较小的干预和自愿行为变化。无法清楚地检测到以后的干预措施的额外效果。从4月20日起措施的自由化并未促使感染的重新增加。因此,大多数德国干预措施的有效性仍然有问题。此外,通过估计真正的感染日期和测试量的影响来阻碍干预措施的评估。

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