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This time is different: model-based evaluation of the implications of SARS-CoV-2 infection kinetics for disease control
Kaitlyn E Johnson; Madison Stoddard; Ryan P Nolan; Douglas E White; Natasha Hochberg; Arijit Chakravarty.
Affiliation
  • Kaitlyn E Johnson; The University of Texas at Austin
  • Madison Stoddard; Fractal Therapeutics, Cambridge, MA
  • Ryan P Nolan; Halozyme Therapeutics, San Diego, CA
  • Douglas E White; Independent Researcher
  • Natasha Hochberg; Department of Epidemiology, Boston University School of Public Health
  • Arijit Chakravarty; Fractal Therapeutics, Cambridge, MA
Preprint in English | medRxiv | ID: ppmedrxiv-20177550
ABSTRACT
As the ongoing COVID-19 pandemic passes from an acute to a chronic situation, countries and territories are grappling with the issue of how to reopen safely. The unique kinetics of infectivity of SARS-CoV-2, with its significant presymptomatic transmission, presents an unprecedented challenge to our intuitions. In this context, a generalizable quantitative understanding of the impact of SARS-CoV-2 infectivity on disease control strategies is vital. We used a previously published time-dependent model of SARS-CoV-2 infectivity (He et al., 2020) to parameterize an epidemiological model of transmission, which was then used to explore the effect of various disease control measures. Our analysis suggests that using symptom-based isolation alone as a control strategy is ineffective in limiting the spread of COVID-19, in contrast to its effectiveness in other diseases, such as SARS and influenza. Additionally, timeliness of testing and tracing strategies to reduce time to isolation, along with widespread adoption of measures to limit transmission are critical for any containment strategy. Our findings suggest that for symptom-based isolation and testing strategies to be effective, reduced transmission is required, reinforcing the importance of measures to limit transmission. From a public health strategy perspective, our findings lend support to the idea that symptomatic isolation should not form the primary basis for COVID-19 disease control.
License
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies Language: English Year: 2020 Document type: Preprint
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