Bayesian phylodynamics reveals the transmission dynamics of avian influenza A(H7N9) virus at the human-live bird market interface in China

In 2013 to 2017, avian influenza A(H7N9) virus has caused five severe epidemic waves of human infections in China. The role of live bird markets (LBMs) in the transmission dynamics of H7N9 remains unclear. Using a Bayesian phylodynamic approach, we shed light on past H7N9 transmission events at the human-LBM interface that were not directly observed using case surveillance data-based approaches. Our results reveal concurrent circulation of H7N9 lineages in Yangtze and Pearl River Delta regions, with evidence of local transmission during each wave. Our results indicate that H7N9 circulated in humans and LBMs for weeks to months before being first detected. Our findings support the seasonality of H7N9 transmission and suggest a high number of underreported infections, particularly in LBMs. We provide evidence for differences in virus transmissibility between low and highly pathogenic H7N9. We demonstrate a regional spatial structure for the spread of H7N9 among LBMs, highlighting the importance of further investigating the role of local live poultry trade in virus transmission. Our results provide estimates of avian influenza virus (AIV) transmission at the LBM level, providing a unique opportunity to better prepare surveillance plans at LBMs for response to future AIV epidemics.

Automated summary

From 2013 to 2017, the avian influenza A(H7N9) virus caused severe epidemics of human infections in China. The role of live bird markets (LBMs) in H7N9 transmission was unclear. Using a Bayesian phylodynamic approach, this study revealed past transmission events at the human-LBM interface in China that were not directly observed. The results indicated continuous circulation of H7N9 in humans and LBMs before detection, suggesting high levels of underreported infections, particularly in LBMs. The findings highlight the importance of investigating local live poultry trade in virus transmission and provide estimates of avian influenza virus transmission at the LBM level, enhancing preparedness for future AIV epidemics.