论文标题
SARS-COV-2的污水集合测试
Sewage Pooling Test for SARS-CoV-2
论文作者
论文摘要
Covid-19目前是对人类的最大威胁之一。迄今为止，这是感染超过350万的原因，超过20万人的人去世。我们提出了一种使用污水质量测试和集合机制来检测COVID-19的程序，该机制近来已经获得了基础。所提出的方法将污水集合算法测试从污水系统中的废水样品来查明受病毒扩散最大机会影响的区域。该算法还使用基于优先级的回溯过程在污水链接中进行测试，具体取决于亚地区感染的可能性。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。所提出的方法的人力干预较少，并且比当前的住宿方法增加了有效的测试/百万人。
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.
