Ganesan Chandramouli, Vandavasi Manikandan, Dhaigude Amol S
Manager Global Delivery GEP Solutions Pvt. Ltd. Navi Mumbai India.
Lead Analyst-Data Science Infosys Limited Bengaluru India.
J Public Aff. 2022 Jul 10:e2827. doi: 10.1002/pa.2827.
The COVID-19 pandemic, ever since its global outbreak in 2020, has continued to wreak havoc. Governments across the world were compelled to enforce strict nation-wide lockdowns, while emphasising on social distancing and quarantining suspected people in order to slow down the spread of the virus. During this time, there was a massive increase in demand for COVID-19 test kits. However, given the limited supply, countries were finding it hard to test enough people. This study proposes an approach called Encoded Blending (EB) to increase the number of tests drastically, without increasing the number of test kits. EB modifies the pooled testing method; this has been followed by countries like Germany, Israel and South Korea for mass testing their citizens. EB has the potential to reduce test kits requirement by up to 85% and 80% in a population with 5% and 10% affected cases, respectively.
自2020年全球爆发以来,新冠疫情持续肆虐。世界各国政府被迫实施严格的全国性封锁,同时强调保持社交距离并对疑似人员进行隔离,以减缓病毒传播。在此期间,新冠病毒检测试剂盒的需求大幅增加。然而,由于供应有限,各国发现难以对足够多的人进行检测。本研究提出了一种名为编码混合(EB)的方法,可在不增加检测试剂盒数量的情况下大幅增加检测数量。EB改进了混合检测方法;德国、以色列和韩国等国家已采用这种方法对其公民进行大规模检测。在受影响病例分别为5%和10%的人群中,EB有潜力将检测试剂盒的需求量分别减少多达85%和80%。