Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies
There are many contrasting results concerning the effectiveness of Test-Trace-Isolate (TTI) strategies in mitigating SARS-CoV-2 spread. To shed light on this debate, we developed a novel static-temporal multiplex network characterizing both the regular (static) and random (temporal) contact patterns...
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sg-ntu-dr.10356-1709782023-10-15T15:37:57Z Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies Zhang, Kun Xia, Zhichu Huang, Shudong Sun, Gui-Quan Lv, Jiancheng Ajelli, Marco Ejima, Keisuke Liu, Quan-Hui Lee Kong Chian School of Medicine (LKCMedicine) Science::Medicine COVID-19 Disease Control There are many contrasting results concerning the effectiveness of Test-Trace-Isolate (TTI) strategies in mitigating SARS-CoV-2 spread. To shed light on this debate, we developed a novel static-temporal multiplex network characterizing both the regular (static) and random (temporal) contact patterns of individuals and a SARS-CoV-2 transmission model calibrated with historical COVID-19 epidemiological data. We estimated that the TTI strategy alone could not control the disease spread: assuming R0 = 2.5, the infection attack rate would be reduced by 24.5%. Increased test capacity and improved contact trace efficiency only slightly improved the effectiveness of the TTI. We thus investigated the effectiveness of the TTI strategy when coupled with reactive social distancing policies. Limiting contacts on the temporal contact layer would be insufficient to control an epidemic and contacts on both layers would need to be limited simultaneously. For example, the infection attack rate would be reduced by 68.1% when the reactive distancing policy disconnects 30% and 50% of contacts on static and temporal layers, respectively. Our findings highlight that, to reduce the overall transmission, it is important to limit contacts regardless of their types in addition to identifying infected individuals through contact tracing, given the substantial proportion of asymptomatic and pre-symptomatic SARS-CoV-2 transmission. Nanyang Technological University Published version Q.-H. L. has received funding from the National Natural Science Foundation of China (No. 62003230), the National Social Science Foundation of China (No. 20&ZD112). J. L. has received funding from the 111 Project under grant agreement B21044. K. E. has received funding from Lee Kong Chian School of Medicine Start-up Grant (No. NU38OT000297). 2023-10-10T00:57:06Z 2023-10-10T00:57:06Z 2023 Journal Article Zhang, K., Xia, Z., Huang, S., Sun, G., Lv, J., Ajelli, M., Ejima, K. & Liu, Q. (2023). Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies. PLOS Computational Biology, 19(9), e1011423-. https://dx.doi.org/10.1371/journal.pcbi.1011423 1553-734X https://hdl.handle.net/10356/170978 10.1371/journal.pcbi.1011423 37656743 2-s2.0-85171135636 9 19 e1011423 en NU38OT000297 PLOS Computational Biology © 2023 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. application/pdf |
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Science::Medicine COVID-19 Disease Control Zhang, Kun Xia, Zhichu Huang, Shudong Sun, Gui-Quan Lv, Jiancheng Ajelli, Marco Ejima, Keisuke Liu, Quan-Hui Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies |
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There are many contrasting results concerning the effectiveness of Test-Trace-Isolate (TTI) strategies in mitigating SARS-CoV-2 spread. To shed light on this debate, we developed a novel static-temporal multiplex network characterizing both the regular (static) and random (temporal) contact patterns of individuals and a SARS-CoV-2 transmission model calibrated with historical COVID-19 epidemiological data. We estimated that the TTI strategy alone could not control the disease spread: assuming R0 = 2.5, the infection attack rate would be reduced by 24.5%. Increased test capacity and improved contact trace efficiency only slightly improved the effectiveness of the TTI. We thus investigated the effectiveness of the TTI strategy when coupled with reactive social distancing policies. Limiting contacts on the temporal contact layer would be insufficient to control an epidemic and contacts on both layers would need to be limited simultaneously. For example, the infection attack rate would be reduced by 68.1% when the reactive distancing policy disconnects 30% and 50% of contacts on static and temporal layers, respectively. Our findings highlight that, to reduce the overall transmission, it is important to limit contacts regardless of their types in addition to identifying infected individuals through contact tracing, given the substantial proportion of asymptomatic and pre-symptomatic SARS-CoV-2 transmission. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Zhang, Kun Xia, Zhichu Huang, Shudong Sun, Gui-Quan Lv, Jiancheng Ajelli, Marco Ejima, Keisuke Liu, Quan-Hui |
format |
Article |
author |
Zhang, Kun Xia, Zhichu Huang, Shudong Sun, Gui-Quan Lv, Jiancheng Ajelli, Marco Ejima, Keisuke Liu, Quan-Hui |
author_sort |
Zhang, Kun |
title |
Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies |
title_short |
Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies |
title_full |
Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies |
title_fullStr |
Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies |
title_full_unstemmed |
Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies |
title_sort |
evaluating the impact of test-trace-isolate for covid-19 management and alternative strategies |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/170978 |
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1781793700723032064 |