Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics.
Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics.
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DOI：
10.3390/ijerph18094655
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发表时间：
2021-04-27
影响因子：
--
通讯作者：
Oshitani H
中科院分区：
文献类型：
--
作者：
Furuse Y;Ko YK;Ninomiya K;Suzuki M;Oshitani H
发现和隔离感染者被认为在控制COVID-19大流行方面发挥着重要作用。一些国家进行大规模筛查以进行检测，而另一些国家主要检测先前感染概率高的人，例如表现出严重症状和/或与已知或疑似病例或聚集性病例有流行病学联系的人。然而，什么是好的检测策略，以及检测策略的差异是否对COVID-19流行病产生有意义的、可衡量的影响仍然未知。本文利用日本的全球和地方数据，揭示了有效繁殖数（Rt）与检测阳性率之间的关联模式，可以解释不同地区检测情况的差异。这种联系还可以评估当前检测系统的充分性以及在COVID-19监测中捕获了哪些信息。仅凭检测系统的差异无法预测疫情控制工作的结果。此外，监测非老年人的检测阳性率和严重病例比例可以预测即将发生的病例数增加。监测检测阳性率与同时进行的Rt可能有助于评估和加强公共卫生管理和检测系统，并加深对COVID-19流行动态的了解。
Detection and isolation of infected people are believed to play an important role in the control of the COVID-19 pandemic. Some countries conduct large-scale screenings for testing, whereas others test mainly people with high prior probability of infection such as showing severe symptoms and/or having an epidemiological link with a known or suspected case or cluster of cases. However, what a good testing strategy is and whether the difference in testing strategy shows a meaningful, measurable impact on the COVID-19 epidemic remain unknown. Here, we showed that patterns of association between effective reproduction number (Rt) and test positivity rate can illuminate differences in testing situation among different areas, using global and local data from Japan. This association can also evaluate the adequacy of current testing systems and what information is captured in COVID-19 surveillance. The differences in testing systems alone cannot predict the results of epidemic containment efforts. Furthermore, monitoring test positivity rates and severe case proportions among the nonelderly can predict imminent case count increases. Monitoring test positivity rates in conjunction with the concurrent Rt could be useful to assess and strengthen public health management and testing systems and deepen understanding of COVID-19 epidemic dynamics.
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DOI：
10.1016/s1473-3099(20)30512-0
发表时间：
2020-10
期刊：
The Lancet. Infectious diseases
影响因子：
--
作者：
MacIntyre CR
通讯作者：
MacIntyre CR
影响因子：
56.9
作者：
Kissler, Stephen M.;Tedijanto, Christine;Lipsitch, Marc
通讯作者：
Lipsitch, Marc
DOI：
10.1016/s1473-3099(21)00143-2
发表时间：
2021-06
期刊：
The Lancet. Infectious diseases
影响因子：
--
作者：
Moore S;Hill EM;Tildesley MJ;Dyson L;Keeling MJ
通讯作者：
Keeling MJ
中国武汉近一千万居民的锁骨后SARS-COV-2核酸筛查。
影响因子：
16.6
作者：
Cao S;Gan Y;Wang C;Bachmann M;Wei S;Gong J;Huang Y;Wang T;Li L;Lu K;Jiang H;Gong Y;Xu H;Shen X;Tian Q;Lv C;Song F;Yin X;Lu Z
通讯作者：
Lu Z
影响因子：
11.8
作者：
Furuse, Yuki;Sando, Eiichiro;Oshitani, Hitoshi
通讯作者：
Oshitani, Hitoshi