The most effective measure to prevent or stop the spread of infectious diseases is the early identification and isolation of infected individuals through comprehensive screening. At present, in the COVID-19 pandemic, such screening is often limited to isolated regions as determined by local governments. Screening of potentially infectious individuals should be conducted through coordinated national or global unified actions. Our current research focuses on using resources to conduct comprehensive national and regional regular testing with a risk rate based, algorithmic guided, multiple-level, pooled testing strategy. Here, combining methodologies with mathematical logistic models, we present an analytic procedure of an overall plan for coordinating state, national, or global testing. The proposed plan includes three parts 1) organization, resource allocation, and distribution; 2) screening based on different risk levels and business types; and 3) algorithm guided, multiple level, continuously screening the entire population in a region. This strategy will overcome the false positive and negative results in the polymerase chain reaction (PCR) test and missing samples during initial tests. Based on our proposed protocol, the population screening of 300,000,000 in the US can be done weekly with between 15,000,000 and 6,000,000 test kits. The strategy can be used for population screening for current COVID-19 and any future severe infectious disease when drugs or vaccines are not available. (C) 2020 Elsevier B.V. All rights reserved.
基金:
Department of Veterans AffairsUS Department of Veterans Affairs [101 BX000671]; Memphis Veterans Affairs Medical Center, TN, USA; U.S. Department of Health and Human Services, Administration for Community Living [90DDUC0058]
第一作者单位:[1]Univ Tennessee, Coll Grad Hlth Sci, Hlth Sci Ctr, Memphis, TN 38103 USA[2]Capital Med Univ, Beijing Tiantan Hosp, Dept Neurol, Beijing 100050, Peoples R China
通讯作者:
通讯机构:[2]Capital Med Univ, Beijing Tiantan Hosp, Dept Neurol, Beijing 100050, Peoples R China[8]Univ Tennessee, Hlth Sci Ctr, Dept Orthoped Surg & Biomed Engn, Campbell Clin, Memphis, TN 38163 USA[20]Memphis VA Med Ctr, Res Serv, 1030 Jefferson Ave, Memphis, TN 38104 USA[*1]956 Court Ave, Memphis, TN 38163 USA[*2]6 Tiantanxili, Beijing 100050, Peoples R China
推荐引用方式(GB/T 7714):
Gu Tianshu,Yao Lan,Meng Xia,et al.A cost-effective plan for global testing - an infection rate stratified, algorithm guided, multiple-level, continuously pooled testing strategy[J].SCIENCE OF THE TOTAL ENVIRONMENT.2021,765:doi:10.1016/j.scitotenv.2020.144251.
APA:
Gu, Tianshu,Yao, Lan,Meng, Xia,Graff, J. Carolyn,Thomason, Donald...&Wang, Yongjun.(2021).A cost-effective plan for global testing - an infection rate stratified, algorithm guided, multiple-level, continuously pooled testing strategy.SCIENCE OF THE TOTAL ENVIRONMENT,765,
MLA:
Gu, Tianshu,et al."A cost-effective plan for global testing - an infection rate stratified, algorithm guided, multiple-level, continuously pooled testing strategy".SCIENCE OF THE TOTAL ENVIRONMENT 765.(2021)