Imperial College London
Alternate

Professor Sir Roy Anderson FRS, FMedSci

Faculty of Medicine, School of Public Health

Professor in Infectious Disease Epidemiology
 
 
 
//

Contact

 

roy.anderson Website

 
 
//

Assistant

 

Mrs Clare Mylchreest +44 (0)7766 331 301

 
//

Location

 

LG35Norfolk PlaceSt Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Vegvari:2016:10.1371/journal.pone.0158237,
author = {Vegvari, C and Hadjichrysanthou, C and Cauët, E and Lawrence, E and Cori, A and de, Wolf F and Anderson, RM},
doi = {10.1371/journal.pone.0158237},
journal = {PLOS One},
title = {How Can Viral Dynamics Models Inform Endpoint Measures in Clinical Trials of Therapies for Acute Viral Infections?},
url = {http://dx.doi.org/10.1371/journal.pone.0158237},
volume = {11},
year = {2016}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Acute viral infections pose many practical challenges for the accurate assessment of the impact of novel therapies on viral growth and decay. Using the example of influenza A, we illustrate how the measurement of infection-related quantities that determine the dynamics of viral load within the human host, can inform investigators on the course and severity of infection and the efficacy of a novel treatment. We estimated the values of key infection-related quantities that determine the course of natural infection from viral load data, using Markov Chain Monte Carlo methods. The data were placebo group viral load measurements collected during volunteer challenge studies, conducted by Roche, as part of the oseltamivir trials. We calculated the values of the quantities for each patient and the correlations between the quantities, symptom severity and body temperature. The greatest variation among individuals occurred in the viral load peak and area under the viral load curve. Total symptom severity correlated positively with the basic reproductive number. The most sensitive endpoint for therapeutic trials with the goal to cure patients is the duration of infection. We suggest laboratory experiments to obtain more precise estimates of virological quantities that can supplement clinical endpoint measurements.
AU  - Vegvari,C
AU  - Hadjichrysanthou,C
AU  - Cauët,E
AU  - Lawrence,E
AU  - Cori,A
AU  - de,Wolf F
AU  - Anderson,RM
DO  - 10.1371/journal.pone.0158237
PY  - 2016///
SN  - 1932-6203
TI  - How Can Viral Dynamics Models Inform Endpoint Measures in Clinical Trials of Therapies for Acute Viral Infections?
T2  - PLOS One
UR  - http://dx.doi.org/10.1371/journal.pone.0158237
UR  - http://hdl.handle.net/10044/1/34516
VL  - 11
ER  -
Download