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Modelling the impact of timelines of testing and isolation on disease control
Testing and isolation remain a key component of public health responses to both persistent and emerging infectious diseases. Although the value of these measures have been demonstrated in combating recent outbreaks including the COVID-19 pandemic and monkeypox, their impact depends critically on the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704027/ https://www.ncbi.nlm.nih.gov/pubmed/36467718 http://dx.doi.org/10.1016/j.idm.2022.11.008 |
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author | Li, Ao Wang, Zhen Moghadas, Seyed M. |
author_facet | Li, Ao Wang, Zhen Moghadas, Seyed M. |
author_sort | Li, Ao |
collection | PubMed |
description | Testing and isolation remain a key component of public health responses to both persistent and emerging infectious diseases. Although the value of these measures have been demonstrated in combating recent outbreaks including the COVID-19 pandemic and monkeypox, their impact depends critically on the timelines of testing and start of isolation during the course of disease. To investigate this impact, we developed a delay differential model and incorporated age-since-symptom-onset as a parameter for delay in testing. We then used the model to compare the outcomes of reverse-transcription polymerase chain reaction (RT-PCR) and rapid antigen (RA) testing methods when isolation starts either at the time of testing or at the time of test result. Parameterizing the model with estimates of SARS-CoV-2 infection and diagnostic sensitivity of the tests, we found that the reduction of disease transmission using the RA test can be comparable to that achieved by applying the RT-PCR test. Given constraints and inevitable delays associated with sample collection and laboratory assays in RT-PCR testing post symptom onset, self-administered RA tests with short turnaround times present a viable alternative for timely isolation of infectious cases. |
format | Online Article Text |
id | pubmed-9704027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-97040272022-11-29 Modelling the impact of timelines of testing and isolation on disease control Li, Ao Wang, Zhen Moghadas, Seyed M. Infect Dis Model Article Testing and isolation remain a key component of public health responses to both persistent and emerging infectious diseases. Although the value of these measures have been demonstrated in combating recent outbreaks including the COVID-19 pandemic and monkeypox, their impact depends critically on the timelines of testing and start of isolation during the course of disease. To investigate this impact, we developed a delay differential model and incorporated age-since-symptom-onset as a parameter for delay in testing. We then used the model to compare the outcomes of reverse-transcription polymerase chain reaction (RT-PCR) and rapid antigen (RA) testing methods when isolation starts either at the time of testing or at the time of test result. Parameterizing the model with estimates of SARS-CoV-2 infection and diagnostic sensitivity of the tests, we found that the reduction of disease transmission using the RA test can be comparable to that achieved by applying the RT-PCR test. Given constraints and inevitable delays associated with sample collection and laboratory assays in RT-PCR testing post symptom onset, self-administered RA tests with short turnaround times present a viable alternative for timely isolation of infectious cases. KeAi Publishing 2022-11-28 /pmc/articles/PMC9704027/ /pubmed/36467718 http://dx.doi.org/10.1016/j.idm.2022.11.008 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Li, Ao Wang, Zhen Moghadas, Seyed M. Modelling the impact of timelines of testing and isolation on disease control |
title | Modelling the impact of timelines of testing and isolation on disease control |
title_full | Modelling the impact of timelines of testing and isolation on disease control |
title_fullStr | Modelling the impact of timelines of testing and isolation on disease control |
title_full_unstemmed | Modelling the impact of timelines of testing and isolation on disease control |
title_short | Modelling the impact of timelines of testing and isolation on disease control |
title_sort | modelling the impact of timelines of testing and isolation on disease control |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704027/ https://www.ncbi.nlm.nih.gov/pubmed/36467718 http://dx.doi.org/10.1016/j.idm.2022.11.008 |
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