Early warning analysis of avian influenza virus in environmental samples in Gansu province, 2015
10.3760/cma.j.issn.1003-9279.2017.04.007
- VernacularTitle: 2015年甘肃省外环境禽流感病毒监测预警分析
- Author:
Baodi LI
1
;
Hongyu LI
1
;
Hui ZHANG
1
;
Liqi LIU
2
;
Zi LI
2
;
Deshan YU
1
;
Jian HE
1
Author Information
1. Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
2. Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- Publication Type:Journal Article
- Keywords:
Avian influenza virus;
Polymerase chain reaction;
Monitoring
- From:
Chinese Journal of Experimental and Clinical Virology
2017;31(4):307-310
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the contamination status of avian influenza virus H5, H7, and H9 in environmental samples in Gansu province during 2015, and provide scientific guidance for the prevention and control of human infection with AIV in the province.
Methods:We detected the AIV nucleic acid of 2015 environmental samples with real-time PCR; the samples were collected from all of the monitoring points in the whole province, then we analyzed the result of environmental monitoring of pathogens in the province.
Results:The detection rates of FluA, H5, H7 and H9 were 19.90%, 0.05%, 0 and 19.65% respectively. The sample specific detection rate of FluA was the highest in wipe specimen of the board surface of slaughtering or placing poultry (31.09%) and the lowest in stool specimens (13.85%). FluA detection rate was the highest in December and the lowest in June and July(8.59% and 8.66%). The detection rate of Dingxi city and Longnan city of nucleic acid of avian influenza virus FluA and H9 were significantly higher than those in other cities in the province(χ2=4.523~88.059, P<0.05).
Conclusions:The main AIV pollution of the external environment in Gansu province in 2015 were the H9 subtype, and there was no H7N9 positive, we should strengthen the monitoring and early warning for avian influenza.
