Longitudinal SARS-CoV-2 Viral Loads

Creators: Alexander Viloria Winnett¹; Michael K. Porter¹; Anna E. Romano¹; Emily S. Savela¹; Reid Akana¹; Natasha Shelby¹; Jessica A. Reyes¹; Noah W. Schlenker¹; Matthew M. Cooper¹; Alyssa M. Carter¹; Jenny Ji¹; Jacob T. Barlow¹; Colten Tognazzini²; Matthew Feaster²; Ying-Ying Goh²; Rustem F. Ismagilov¹

1. California Institute of Technology
2. Pasadena Public Health Department

Description

Companion data for Viloria Winnett et al., 2022. Uploaded to medRxiv. This dataset provides viral load quantification and analysis for individuals with acute SARS-CoV-2 infection participating in the Caltech COVID-19 Study (https://covid-study.caltech.edu/). Data is de-identified. Raw data is listed for each figure.

Files

Files (476.1 kB)

Name	Size	Actions
20220228_DataTables_Final.xlsx md5:a88d8a6f2dc7585bbd9301239e62fb1c	476.1 kB	Download

Longitudinal SARS-CoV-2 Viral Loads

Description

Files

Additional details