SARS-CoV-2污水汇集试验
Sewage Pooling Test for SARS-CoV-2
摘要：
COVID-19是目前人类面临的最大威胁之一。迄今为止，它是超过350万人感染和超过20万人死亡的原因。我们建议采用污水大规模检测及汇集机制，以检测受COVID-19影响的地区，该机制近年来已获得广泛应用。所提出的方法名为污水池算法测试污水系统的废水样本，以确定受病毒传播机会最大影响的区域。该算法还使用了一个基于优先级的回溯过程，根据子区域中的感染概率在污水连接中进行测试。对于具有非常罕见的COVID病例的地方，我们提出了一种基于梯度的搜索方法来修剪这些区域。所提出的方法具有较少的人为干预，并增加了有效的测试/百万人比目前的地方方法。
英文摘要：
CoVID-19 is currently one of the biggest threats to mankind. To date, it is the reason for infections of over 35 lakhs and the death of over 2 lakh human beings. We propose a procedure to detect CoVID-19 affected localities using a sewage mass testing and pooling mechanism which has gained ground in recent times. The proposed method named Sewage Pooling Algorithm tests wastewater samples from sewage systems to pinpoint the regions which are affected by maximum chances of the virus spread. The algorithm also uses a priority-based backtracking procedure to perform testing in sewage links depending on the probability of infection in the sub-areas. For places with very rare CoVID cases, we present a gradient-based search method to prune those areas. The proposed method has less human intervention and increases the effective tests/million people over current in-place methods.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
