Understanding Viral Population Genomics: Tools and Lessons for Future Pandemics (Poster)
Abstract
The 2019 Covid-19 pandemic is the most data-rich pandemic in human history to date, offering us an unprecedented chance to learn from it and prepare for future pandemics. Here, we report on our work studying SARS-CoV-2 genetic samples from fall 2019 to summer 2021. Along with these real-world data, we created a pandemic simulator, Simdemic, to elegantly model foundational principles of genome changes during a pandemic. Using our simulator along with the SARS-CoV-2 genetic data, we found that sub-sampling below 1% of the true case count skews the genetic data, offering decision makers in the government an actionable lower bound for future sampling methods. We also critically examined canonical principles of population genetics in this viral population and recommend a path forward in using these principles to better quantify future pandemics.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2022
- Accession Number
- AD1207335
Entities
People
- Emily D. Heuring
- Izzy Chaiken
- Katherine I. Fisher-aylor
Organizations
- Institute for Defense Analyses