Literature DB >> 29479134

Assessing the risk of downwind spread of avian influenza virus via airborne particles from an urban wholesale poultry market.

Jianjian Wei1, Jie Zhou2, Kitling Cheng2, Jie Wu3, Zhifeng Zhong3, Yingchao Song3, Changwen Ke3, Hui-Ling Yen2, Yuguo Li1.   

Abstract

Interspecies transmissions of avian influenza viruses (AIV) occur at the human-poultry interface, among which the live poultry markets (LPMs) are easily assessed by urban residents. Thousands of live poultry from different farms arrive daily at wholesale markets before being sold to retail markets. We assessed the risk of AIV downwind spread via airborne particles from a representative wholesale market in Guangzhou. Air samples were collected using the cyclone-based NIOSH bioaerosol samplers at different locations inside a wholesale market, and viral RNA and avian 18S RNA were quantified using quantitative real-time RT-PCR. Computational Fluid Dynamics (CFD) modeling was performed to investigate the AIV spread pattern. Viral RNA was readily detected from 19 out of 21 air sampling events, predominantly from particles larger than 1 µm. The concentration of viral RNA detected at the poultry holding area was 4.4 × 105 copies/m3 and was as high as 2.6 × 104 copies/m3 100 m downwind. A high concentration of avian 18S RNA (2.5 × 108 copies/m3) detected at the poultry holding area was used for assessing the potential spread of avian influenza virus during outbreak situations. CFD modeling indicated the combined effect of wind direction and surrounding buildings on the spread of virus and a slow decay rate of the virus in the air in the downwind direction. Because of the large volume of poultry trade daily, wholesale markets located in urban areas may pose considerable AIV infection risk to neighboring residents via wind spread, even in the absence of direct contact with poultry.

Entities:  

Keywords:  Avian influenza virus; CFD modeling; NIOSH bioaerosol sampler; airborne transmission; avian 18S RNA; downwind spread

Year:  2017        PMID: 29479134      PMCID: PMC5822749          DOI: 10.1016/j.buildenv.2017.10.037

Source DB:  PubMed          Journal:  Build Environ        ISSN: 0360-1323            Impact factor:   6.456


  16 in total

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