摘要翻译：
新冠肺炎是目前人类面临的最大威胁之一。到目前为止，它是超过35千克的感染和超过2千克人死亡的原因。我们提出了一种使用污水大规模测试和汇集机制来检测新冠肺炎受影响地区的程序，该机制近年来取得了进展。该方法被称为污水池算法，通过对污水系统中的废水样本进行测试，以确定病毒传播的最大机会影响的区域。该算法还使用了基于优先级的回溯过程，根据子区域感染的概率在污水链路中执行测试。对于CoVID病例非常罕见的地方，我们提出了一种基于梯度的搜索方法来剪枝这些区域。与现有的方法相比，该方法减少了人为干预，提高了有效测试/百万人。
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英文标题：
《Sewage Pooling Test for SARS-CoV-2》
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作者：
Ritam Guha, Anik Sengupta, Ankan Dutta
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最新提交年份：
2020
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Computer Science        计算机科学
二级分类：Computers and Society        计算机与社会
分类描述：Covers impact of computers on society, computer ethics, information technology and public policy, legal aspects of computing, computers and education. Roughly includes material in ACM Subject Classes K.0, K.2, K.3, K.4, K.5, and K.7.
涵盖计算机对社会的影响、计算机伦理、信息技术和公共政策、计算机的法律方面、计算机和教育。大致包括ACM学科类K.0、K.2、K.3、K.4、K.5和K.7中的材料。
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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.
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PDF链接：
https://arxiv.org/pdf/2005.07269