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Modeling the evolution of SARS-CoV-2 under non-pharmaceutical interventions and testing
Yael Gurevich1, Yoav Ram2, Lilach Hadany1
1Faculty of Life Sciences, School of Plant Sciences and Food Security, Tel-Aviv University, Tel-Aviv 6997801, Israel.
Non-pharmaceutical interventions (NPIs) like masking can reduce SARS-CoV-2 severity. However, increased testing may inadvertently select for virus strains that evade detection, potentially distorting pandemic assessments.
Area of Science:
- Evolutionary biology
- Epidemiology
- Virology
Background:
- Social and behavioral non-pharmaceutical interventions (NPIs) and diagnostic tests were widely used against COVID-19.
- Epidemiological models confirm NPIs control pandemic spread.
- SARS-CoV-2 evolution necessitates understanding NPIs' impact on viral changes.
Purpose of the Study:
- To investigate how NPIs and testing influence SARS-CoV-2 evolution.
- To examine two key evolutionary trajectories: attenuation and test evasion.
Main Methods:
- Utilized evo-epidemiological models to simulate viral evolution under different intervention scenarios.
- Analyzed the impact of NPI stringency and testing rates on viral strain competition.
Main Results:
- Stronger NPIs can drive viral evolution towards reduced disease severity.
- Timely NPI implementation favors milder viral strains.
- Higher testing rates can select for test-evasive strains, even if less infectious.
Conclusions:
- NPIs significantly impact SARS-CoV-2 evolution, potentially reducing severity.
- Evolved test-evasive strains can complicate pandemic monitoring via case data.
- Understanding these evolutionary dynamics is crucial for effective pandemic management.
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