scholarly journals Spatial Analysis of Swine Influenza Virus in Pig Farms Based on Active Surveillance from 2016-2017 in West Java Province, Indonesia

Author(s):  
Nurhayati ◽  
Ali Arasyi ◽  
Farida Zenal ◽  
Caitlin Pfeifer ◽  
Mark Stevenson ◽  
...  
2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 6-6
Author(s):  
Julia A Calderon Diaz ◽  
Maria Rodrigues da Costa ◽  
Edgar Garcia Manzanilla

Abstract The objective of this study was to identify biosecurity practices associated negative status (-) for Mycoplasma hyopneumoniae (MHYO), porcine reproductive and respiratory syndrome virus (PRRSv), and swine influenza virus (SIV) in pig farms. Biosecurity practices were assessed using the Biocheck.UGentTM questionnaire in 54 Irish farrow-to-finish pig farms. For each farm, a batch of pigs was observed at slaughter and blood samples were collected from 32 randomly selected pigs per farm at exsanguination. Serology analysis was performed using IDEXX ELISA kits and farms were classified with either positive or negative status for each of the respiratory diseases. Data were analysed using univariable logistic regression in PROC GENMOD of SAS v9.4. Results are presented as odds ratios (OR) and their associated 95% confidence interval (CI). Regularly cleaning materials used for disease treatment between litters (OR=8.2, CI=0.97-69.87), cleaning driving boards (OR=5.5, CI=1.07-28.20) and a maximal density of 3 pigs/m2 in the nursery were associated (P< 0.05) with an increased likelihood of MHYO(-). The feeding company meeting special hygienic requirements (OR=3.84, CI=1.14-12.95) and a strict all-in-all-out management in each finishing room (OR=3.84, CI=1.14-12.95) were associated (P< 0.05) with an increased likelihood of PRRSv(-). However, having disinfection baths between each room (OR=0.20, CI=0.06-0.68) and footbaths installed at the entrance of each building (OR=0.15, CI=0.04-0.52) were associated (P< 0.05) with decreased likelihood of PRRSv(-). Only allowing visitors’ access to the farm from a hygiene lock (OR=4.41, CI=1.04-18.71), and minimal piglet handling during lactation were associated with an increased likelihood of SIV(-) (P< 0.05). Results indicate that biosecurity practices regarding cleaning and disinfection and animal management are the most associated with a negative farm status for respiratory disease. It is possible that the biosecurity practices implemented in farms with lower likelihood for negative status were applied in a more ‘reactionary’ than ‘preventive’ manner.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Yin Li ◽  
Ian Robertson

AbstractGlobally swine influenza is one of the most important diseases of the pig industry, with various subtypes of swine influenza virus co-circulating in the field. Swine influenza can not only cause large economic losses for the pig industry but can also lead to epidemics or pandemics in the human population. We provide an overview of the pathogenic characteristics of the disease, diagnosis, risk factors for the occurrence on pig farms, impact on pigs and humans and methods to control it. This review is designed to promote understanding of the epidemiology of swine influenza which will benefit the control of the disease in both pigs and humans.


2012 ◽  
Vol 43 (1) ◽  
pp. 24 ◽  
Author(s):  
Meritxell Simon-Grifé ◽  
Gerard E Martín-Valls ◽  
María J Vilar ◽  
Núria Busquets ◽  
Mercedes Mora-Salvatierra ◽  
...  

2014 ◽  
Vol 9 (5) ◽  
pp. 839-841
Author(s):  
Takehiko Saito ◽  
◽  
Nobuhiro Takemae ◽  
Haruka Abe ◽  
Yuko Uchida ◽  
...  

We have been studying the swine influenza virus (SIV) in Thailand since 2005, followed by a study in Vietnam starting in 2010. We actively survey pig farms in both countries to isolate viruses, collecting nasal swabs mainly from clinically healthy pigs. Our results demonstrate the genetic diversity of the SIV in both countries and help fill gaps in knowledge in global molecular SIV epidemiology.


2015 ◽  
Vol 63 (3) ◽  
pp. 234-240 ◽  
Author(s):  
C. Schmidt ◽  
S. P. Cibulski ◽  
C. P. Andrade ◽  
T. F. Teixeira ◽  
A. P. M. Varela ◽  
...  

2013 ◽  
Vol 54 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Weili Kong ◽  
Jiahui Ye ◽  
Shangsong Guan ◽  
Jinhua Liu ◽  
Juan Pu

2013 ◽  
Vol 9 (2) ◽  
pp. e1003176 ◽  
Author(s):  
Ben M. Hause ◽  
Mariette Ducatez ◽  
Emily A. Collin ◽  
Zhiguang Ran ◽  
Runxia Liu ◽  
...  

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