Detecting Emerging Transmissibility of Avian Influenza Virus in Human Households
Open Access
- 27 July 2007
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLoS Computational Biology
- Vol. 3 (7) , e145
- https://doi.org/10.1371/journal.pcbi.0030145
Abstract
Accumulating infections of highly pathogenic H5N1 avian influenza in humans underlines the need to track the ability of these viruses to spread among humans. A human-transmissible avian influenza virus is expected to cause clusters of infections in humans living in close contact. Therefore, epidemiological analysis of infection clusters in human households is of key importance. Infection clusters may arise from transmission events from (i) the animal reservoir, (ii) humans who were infected by animals (primary human-to-human transmission), or (iii) humans who were infected by humans (secondary human-to-human transmission). Here we propose a method of analysing household infection data to detect changes in the transmissibility of avian influenza viruses in humans at an early stage. The method is applied to an outbreak of H7N7 avian influenza virus in The Netherlands that was the cause of more than 30 human-to-human transmission events. The analyses indicate that secondary human-to-human transmission is plausible for the Dutch household infection data. Based on the estimates of the within-household transmission parameters, we evaluate the effectiveness of antiviral prophylaxis, and conclude that it is unlikely that all household infections can be prevented with current antiviral drugs. We discuss the applicability of our method for the detection of emerging human-to-human transmission of avian influenza viruses in particular, and for the analysis of within-household infection data in general. Recent outbreaks of emerging diseases such as SARS and H5N1 avian influenza have underlined the fact that animal pathogens may acquire the ability to spread efficiently in humans. Monitoring the transmissibility of pathogens from the animal reservoir in humans is key for early detection of epidemic spread, and for effective control. Here we have used data from a small but well-defined study of H7N7 avian influenza virus transmission in human households to estimate the transmissibility of H7N7 avian influenza in humans living in close contact. The analyses make use of household final size data (i.e., the number of individuals in the household who are ultimately infected), which, for many pathogens, are easily collected. For the H7N7 data, the analyses indicate that the transmission chain in humans may well have extended beyond the first generation of infections in humans, and that less than half of the household infections could have been prevented by antiviral prophylaxis. Our method of analysis provides a rapid and generally applicable tool that can be used to monitor emerging human transmissibility of pathogens from the animal reservoir.Keywords
This publication has 42 references indexed in Scilit:
- Inefficient Transmission of H5N1 Influenza Viruses in a Ferret Contact ModelJournal of Virology, 2007
- The Next Influenza PandemicJAMA, 2007
- Risk Maps for the Spread of Highly Pathogenic Avian Influenza in PoultryPLoS Computational Biology, 2007
- Avian Influenza Virus (H5N1): a Threat to Human HealthClinical Microbiology Reviews, 2007
- Lack of transmission of H5N1 avian–human reassortant influenza viruses in a ferret modelProceedings of the National Academy of Sciences, 2006
- Design and Evaluation of Prophylactic Interventions Using Infectious Disease Incidence Data from Close Contact GroupsJournal of the Royal Statistical Society Series C: Applied Statistics, 2006
- Family Clustering of Avian Influenza A (H5N1)Emerging Infectious Diseases, 2005
- Evolution of H5N1 Avian Influenza Viruses in AsiaEmerging Infectious Diseases, 2005
- Avian Influenza A (H5N1) Infection in HumansNew England Journal of Medicine, 2005
- A Bayesian MCMC approach to study transmission of influenza: application to household longitudinal dataStatistics in Medicine, 2004