Using viral load to model disease dynamics

Benjamin A Lopman¹, Elizabeth T Rogawski McQuade^{1

2}

Affiliations

¹ Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA. erogaws@emory.edu blopman@emory.edu.
² Department of Public Health Sciences; Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, USA.

Comment

Benjamin A Lopman et al. Science. 2021.

. 2021 Jul 16;373(6552):280-281.

doi: 10.1126/science.abj4185.

Benjamin A Lopman¹, Elizabeth T Rogawski McQuade^{1

2}

¹ Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA. erogaws@emory.edu blopman@emory.edu.
² Department of Public Health Sciences; Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, USA.

No abstract available

Comment on

Estimating epidemiologic dynamics from cross-sectional viral load distributions.
Hay JA, Kennedy-Shaffer L, Kanjilal S, Lennon NJ, Gabriel SB, Lipsitch M, Mina MJ. Hay JA, et al. Science. 2021 Jul 16;373(6552):eabh0635. doi: 10.1126/science.abh0635. Epub 2021 Jun 3. Science. 2021. PMID: 34083451 Free PMC article.