Finding the best way to stop the spread of bird flu in live markets

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Portable testing equipment and bans on overnight stays have been identified as ways to slow the spread of bird flu in live markets, say international researchersThe team modelled how different testing strategies affected the spread of a virus within a Vietnamese market. They found using a portable testing machine on site to process samples from chickens slightly reduced the number of birds leaving the market infected compared to laboratory testing. Sampling birds staying overnight just before new birds were brought into the market could improve results, as well as preventing birds from staying overnight in the market entirely.

Media release

From: The Royal Society

Optimizing the early detection of low pathogenic avian influenza H7N9 virus in live bird markets
Journal of the Royal Society Interface

In Southeast Asia, surveillance at live bird markets (LBMs) has been identified crucial for detecting avian influenza viruses (AIV) and reducing the risk of human infections. However, the design of effective surveillance systems in LBMs remain complex given the rapid turn-over of poultry. We developed a transmission model to provide guidance for optimising AIV surveillance efforts. Results show that (i) using a portable diagnostic device would slightly reduce the number of infected birds leaving the LBM before the first detection, as compared to a lab-based diagnostic strategy, (ii) H7N9 detection could become more timely by sampling birds staying overnight, just before new susceptible birds are introduced at the beginning of a working day, and (iii) banning birds staying overnight would represent an effective intervention to reduce the risk of H7N9 spread. These strategies should receive high priority in Vietnam and other Asian countries at risk of H7N9 introduction.

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conference:
Journal of the Royal Society Interface
Research:Paper
Organisation/s: Université de Toulouse, France
Funder: The research was funded by the United States Agency for International Development (USAID) and the FEDER/Région Occitanie Recherche et Sociétés 2018 - AI-TRACK.
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