In vivo kinetics of SARS-CoV-2 infection and its relationship with a person’s infectiousness
Abstract
The within-host viral kinetics of SARS-CoV-2 infection and how they relate to a person’s infectiousness are not well understood. This limits our ability to quantify the impact of interventions on viral transmission. Here, we develop viral dynamic models of SARS-CoV-2 infection and fit them to data to estimate key within-host parameters such as the infected cell half-life and the within-host reproductive number. We then develop a model linking viral load (VL) to infectiousness and show a person’s infectiousness increases sublinearly with VL and that the logarithm of the VL in the upper respiratory tract is a better surrogate of infectiousness than the VL itself. Using data on VL and the predicted infectiousness, we further incorporated data on antigen and RT-PCR tests and compared their usefulness in detecting infection and preventing transmission. We found that RT-PCR tests perform better than antigen tests assuming equal testing frequency; however, more frequent antigen testing may perform equally well with RT-PCR tests at a lower cost but with many more false-negative tests. Overall, our models provide a quantitative framework for inferring the impact of therapeutics and vaccines that lower VL on the infectiousness of individuals and for evaluating rapid testing strategies.
- Authors:
-
- Theoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545,, New Mexico Consortium, Los Alamos, NM 87544,
- Theoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545,
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Laboratory Directed Research and Development (LDRD) Program; National Institutes of Health (NIH); National Science Foundation (NSF); Defense Advanced Research Projects Agency (DARPA)
- OSTI Identifier:
- 1833729
- Alternate Identifier(s):
- OSTI ID: 1900479
- Report Number(s):
- LA-UR-21-26047
Journal ID: ISSN 0027-8424; e2111477118
- Grant/Contract Number:
- 89233218CNA000001; 20200743ER; 20200695ER; 20210730ER; R01-AI028433; R01-OD011095; R01-AI15270301; R01-AI116868; PHY-2031756; PHY-1607611; W911NF-17-2-0034
- Resource Type:
- Published Article
- Journal Name:
- Proceedings of the National Academy of Sciences of the United States of America
- Additional Journal Information:
- Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Volume: 118 Journal Issue: 49; Journal ID: ISSN 0027-8424
- Publisher:
- Proceedings of the National Academy of Sciences
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES; SARS-CoV-2; viral kinetics; viral transmission; biological sciences; applied mathematics; physical sciences; population biology
Citation Formats
Ke, Ruian, Zitzmann, Carolin, Ho, David D., Ribeiro, Ruy M., and Perelson, Alan S. In vivo kinetics of SARS-CoV-2 infection and its relationship with a person’s infectiousness. United States: N. p., 2021.
Web. doi:10.1073/pnas.2111477118.
Ke, Ruian, Zitzmann, Carolin, Ho, David D., Ribeiro, Ruy M., & Perelson, Alan S. In vivo kinetics of SARS-CoV-2 infection and its relationship with a person’s infectiousness. United States. https://doi.org/10.1073/pnas.2111477118
Ke, Ruian, Zitzmann, Carolin, Ho, David D., Ribeiro, Ruy M., and Perelson, Alan S. Thu .
"In vivo kinetics of SARS-CoV-2 infection and its relationship with a person’s infectiousness". United States. https://doi.org/10.1073/pnas.2111477118.
@article{osti_1833729,
title = {In vivo kinetics of SARS-CoV-2 infection and its relationship with a person’s infectiousness},
author = {Ke, Ruian and Zitzmann, Carolin and Ho, David D. and Ribeiro, Ruy M. and Perelson, Alan S.},
abstractNote = {The within-host viral kinetics of SARS-CoV-2 infection and how they relate to a person’s infectiousness are not well understood. This limits our ability to quantify the impact of interventions on viral transmission. Here, we develop viral dynamic models of SARS-CoV-2 infection and fit them to data to estimate key within-host parameters such as the infected cell half-life and the within-host reproductive number. We then develop a model linking viral load (VL) to infectiousness and show a person’s infectiousness increases sublinearly with VL and that the logarithm of the VL in the upper respiratory tract is a better surrogate of infectiousness than the VL itself. Using data on VL and the predicted infectiousness, we further incorporated data on antigen and RT-PCR tests and compared their usefulness in detecting infection and preventing transmission. We found that RT-PCR tests perform better than antigen tests assuming equal testing frequency; however, more frequent antigen testing may perform equally well with RT-PCR tests at a lower cost but with many more false-negative tests. Overall, our models provide a quantitative framework for inferring the impact of therapeutics and vaccines that lower VL on the infectiousness of individuals and for evaluating rapid testing strategies.},
doi = {10.1073/pnas.2111477118},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
number = 49,
volume = 118,
place = {United States},
year = {Thu Dec 02 00:00:00 EST 2021},
month = {Thu Dec 02 00:00:00 EST 2021}
}
https://doi.org/10.1073/pnas.2111477118
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