Design and Evaluation of Prophylactic Interventions Using Infectious Disease Incidence Data from Close Contact Groups
- 6 April 2006
- journal article
- Published by Oxford University Press (OUP) in Journal of the Royal Statistical Society Series C: Applied Statistics
- Vol. 55 (3), 317-330
- https://doi.org/10.1111/j.1467-9876.2006.00539.x
Abstract
Summary. Prophylaxis of contacts of infectious cases such as household members and treatment of infectious cases are methods to prevent the spread of infectious diseases. We develop a method based on maximum likelihood to estimate the efficacy of such interventions and the transmission probabilities. We consider both the design with prospective follow-up of close contact groups and the design with ascertainment of close contact groups by an index case as well as randomization by groups and by individuals. We compare the designs by using simulations. We estimate the efficacy of the influenza antiviral agent oseltamivir in reducing susceptibility and infectiousness in two case-ascertained household trials.Keywords
This publication has 23 references indexed in Scilit:
- Containing Pandemic Influenza at the SourceScience, 2005
- A Bayesian MCMC approach to study transmission of influenza: application to household longitudinal dataStatistics in Medicine, 2004
- Management of Influenza in Households: A Prospective, Randomized Comparison of Oseltamivir Treatment With or Without Postexposure ProphylaxisThe Journal of Infectious Diseases, 2004
- Estimating Vaccine Efficacy From Secondary Attack RatesJournal of the American Statistical Association, 2003
- Zanamivir Prophylaxis: An Effective Strategy for the Prevention of Influenza Types A and B within HouseholdsThe Journal of Infectious Diseases, 2002
- Effectiveness of Oseltamivir in Preventing Influenza in Household ContactsA Randomized Controlled TrialJAMA, 2001
- Inhaled Zanamivir for the Prevention of Influenza in FamiliesNew England Journal of Medicine, 2000
- A Frailty Mixture Model for Estimating Vaccine EfficacyJournal of the Royal Statistical Society Series C: Applied Statistics, 1996
- Goodness of fit tests for the multiple logistic regression modelCommunications in Statistics - Theory and Methods, 1980
- An optimization model for influenza A epidemicsMathematical Biosciences, 1978