ISSN: 2329-9053

Journal of Molecular Pharmaceutics & Organic Process Research
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Social network analysis for poultry HPAI transmission

Abstract

Little is known regarding the types and frequencies of contact that exist between poultry farms and poultry related enterprises in China, which of these may act as transmission pathways for highly pathogenic avian influenza (HPAI) viruses. In this survey study, we explored the linkages that exist among the poultry farms and the poultry related enterprises in two counties (Feixi County in Auhui Province and Beizhen City in Liaoning Province) by using social network analysis. The networks among poultry farms and related poultry enterprises in two counties in China (Feixi County in Anhui Province and Beizhen city in Liaoning Province) were analysed and evaluated focusing on the connectivity of contacts, movements, and potential pathogen transmission. The Feixi County poultry production network exhibited greater connectivity, which incorporated approximately 94% of the farms interviewed in a major component (a set of connected farms not linked with each other), mainly due to linkages of backyard farms through local produce stores and individual agents, whilst the Beizhen City network was more fragmented owing to independent in‐house operations (from breed, raise, to slaughter and process) of a few large companies, with multiple smaller components. A range of factors influencing the contacts/movements among farms (act as bridges) were identified in this study. Ability to predict the pathway with the network characteristics on the basis of the factors, such as entity type and geographic location, is useful for developing risk‐based approaches for disease prevention, surveillance, early detection, and effective controlling

Top