Impact of the implementation of rest days in live bird markets on the dynamics of H5N1 highly pathogenic avian influenza

Fournie, G; Guitian, FJ; Mangtani, P; Ghani, AC; (2011) Impact of the implementation of rest days in live bird markets on the dynamics of H5N1 highly pathogenic avian influenza. Journal of the Royal Society, Interface / the Royal Society, 8 (61). pp. 1079-1089. ISSN 1742-5689 DOI:

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Live bird markets (LBMs) act as a network 'hub' and potential reservoir of infection for domestic poultry. They may therefore be responsible for sustaining H5N1 highly pathogenic avian influenza (HPAI) virus circulation within the poultry sector, and thus a suitable target for implementing control strategies. We developed a stochastic transmission model to understand how market functioning impacts on the transmission dynamics. We then investigated the potential for rest days-periods during which markets are emptied and disinfected-to modulate the dynamics of H5N1 HPAI within the poultry sector using a stochastic meta-population model. Our results suggest that under plausible parameter scenarios, HPAI H5N1 could be sustained silently within LBMs with the time spent by poultry in markets and the frequency of introduction of new susceptible birds' dominant factors determining sustained silent spread. Compared with interventions applied in farms (i.e. stamping out, vaccination), our model shows that frequent rest days are an effective means to reduce HPAI transmission. Furthermore, our model predicts that full market closure would be only slightly more effective than rest days to reduce transmission. Strategies applied within markets could thus help to control transmission of the disease.

Item Type: Article
Keywords: H5N1 avian influenza, mathematical transmission model, live bird, market, rest days, HONG-KONG SAR, POULTRY MARKETS, VIRUS ISOLATION, FOOD MARKETS, TRANSMISSION, CHICKENS, OUTBREAK, ASIA, SURVEILLANCE, INFECTION
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
PubMed ID: 21131332
Web of Science ID: 292083300002


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