आईएसएसएन: 2329-9053

जर्नल ऑफ मॉलिक्यूलर फार्मास्यूटिक्स एंड ऑर्गेनिक प्रोसेस रिसर्च

खुला एक्सेस

हमारा समूह 1000 से अधिक वैज्ञानिक सोसायटी के सहयोग से हर साल संयुक्त राज्य अमेरिका, यूरोप और एशिया में 3000+ वैश्विक सम्मेलन श्रृंखला कार्यक्रम आयोजित करता है और 700+ ओपन एक्सेस जर्नल प्रकाशित करता है जिसमें 50000 से अधिक प्रतिष्ठित व्यक्तित्व, प्रतिष्ठित वैज्ञानिक संपादकीय बोर्ड के सदस्यों के रूप में शामिल होते हैं।

ओपन एक्सेस जर्नल्स को अधिक पाठक और उद्धरण मिल रहे हैं
700 जर्नल और 15,000,000 पाठक प्रत्येक जर्नल को 25,000+ पाठक मिल रहे हैं

में अनुक्रमित
  • CAS स्रोत सूचकांक (CASSI)
  • सूचकांक कॉपरनिकस
  • गूगल ज्ञानी
  • शेरपा रोमियो
  • जे गेट खोलो
  • शैक्षणिक कुंजी
  • RefSeek
  • हमदर्द विश्वविद्यालय
  • ईबीएससीओ एज़
  • ओसीएलसी- वर्ल्डकैट
  • पबलोन्स
  • यूरो पब
  • आईसीएमजेई
इस पृष्ठ को साझा करें

अमूर्त

Social network analysis for poultry HPAI transmission

Lu gao

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