A simple new method better assesses the risks posed by emerging zoonotic viruses (those transmissible from animals to humans), according to a study published in PLOS Medicine this week. Dr. Simon Cauchemez and colleagues from Imperial College London in the UK and the Centers for Disease Control and Prevention in the US show that the new tool can produce transmissibility estimates for swine flu (the H3N2v-M virus), allowing researchers to better evaluate the possible pandemic threat posed by this virus. Until now, estimates of transmissibility were derived from detailed outbreak investigations, which are resource intensive and subject to selection bias. In this study, the authors develop a method to derive unbiased estimates of transmissibility with more limited data.
This study has important health policy implications because of the large numbers of people that could potentially be harmed by emerging viruses. Zoonotic viruses primarily cause occasional infections in human populations exposed to reservoir species (the animal species harboring the virus) because the pathogens are usually poorly adapted for sustained human-to-human transmission. However, zoonotic viruses are under strong selective pressure to acquire the ability for human-to-human transmission. Dr. Cauchemez and colleagues show that the novel approach described in this paper will be useful in assessing human-to-human transmissions during zoonotic outbreaks.
The researchers developed a mathematical model of disease transmission, which only requires data from routine surveillance and standard case investigations. They showed that the pandemic potential of a zoonotic virus could be estimated simply from the proportion of cases infected by the natural reservoir. The authors then applied their new approach to assess the human-to-human transmissibility of H1N1v, H1N2v and H3N2v viruses (in particular that of the H3N2v-M virus) from US surveillance data for the period December 2005 to December 2011 and Nipah virus in Malaysia and Bangladesh, as well as to a non-zoonotic pathogen Vibrio cholerae in the Dominican Republic. This study demonstrates the applicability of this novel approach to estimating the reproduction number R (or the number of individuals infected by a case), during zoonotic and certain non-zoonotic outbreaks.
The technique for estimating R described in this paper is simple and robust and does not require as much investigative effort as existing methods, say the authors. However, a key limitation of this new approach is that it is designed to estimate R during subcritical outbreaks. If it is not a subcritical outbreak, other methods are needed to estimate R.
Dr. Lyn Finelli, Surveillance and Outbreak Response Team (Influenza Division, CDC) and co-author on the paper said: "Outbreaks of the H3N2v-M virus largely took place at livestock exhibitions with thousands of visitors every day. It is very hard to perform detailed outbreak investigations and effectively trace cases in such settings since visitors are widely dispersed. The approach presented in the paper, is simple, requires few data, and was very useful in assessing transmissibility of the virus from the data available."
Funding: The research leading to these results received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under Grant Agreement nu278433-PREDEMICS, the European Union FP7 EMPERIE project, the NIGMS MIDAS initiative, the Medical Research Council, and the Bill & Melinda Gates Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing Interests: SC received consulting fees from Sanofi Pasteur MSD for a project on the modelling of varicella zoster virus transmission. The authors declare no other competing interests.
Citation: Cauchemez S, Epperson S, Biggerstaff M, Swerdlow D, Finelli L, et al. (2013) Using Routine Surveillance Data to Estimate the Epidemic Potential of Emerging Zoonoses: Application to the Emergence of US Swine Origin Influenza A H3N2v Virus. PLoS Med 10(3): e1001399. doi:10.1371/journal.pmed.1001399
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