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Modelling the impact of timelines of testing and isolation on disease control.
Li, Ao; Wang, Zhen; Moghadas, Seyed M.
  • Li A; Agent-Based Modelling Laboratory, York University, Toronto, Ontario, M3J 1P3, Canada.
  • Wang Z; Agent-Based Modelling Laboratory, York University, Toronto, Ontario, M3J 1P3, Canada.
  • Moghadas SM; Agent-Based Modelling Laboratory, York University, Toronto, Ontario, M3J 1P3, Canada.
Infect Dis Model ; 2022 Nov 28.
Article in English | MEDLINE | ID: covidwho-2242632
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Year: 2022 Document Type: Article Affiliation country: J.idm.2022.11.008

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Year: 2022 Document Type: Article Affiliation country: J.idm.2022.11.008