Influenza virus surveillance in coordinated swine production systems, United States.
Here we report the results from 13-months of active surveillance of IAV in coordinated swine production systems in the United States. The objectives of this study were 1) to determine the prevalence of IAV within farms in a closed production system and 2) to determine which sampled population is most affected by IAV.
Multisite coordinated production systems are the common method of swine production in the United States. These systems consist of multiple farms operating in tandem, with each farm responsible for 1 stage of the production process (Figure 1). These systems are closed, meaning there are no introductions of animals from outside the system. Each farm in the system has a specific purpose: 1) to breed, gestate, farrow, and raise to the point of weaning replacement breeding stock of a specified genotype (multiplier farms [MF]); 2) to raise replacement female pigs, commonly called gilts, to 5-6 months of age for breeding (gilt development farms or units [GDU]); and 3) to breed, gestate, deliver, and raise to the point of weaning piglets specifically for meat production (breed-to-wean farms [BTW]). Gilts from GDUs are moved to MF or BTW farms for breeding. All farms house multiple age cohorts, although in different rooms or buildings. During suckling of piglets on MF and BTW farms, as well as in GDU farms, 1 cohort of piglets differing in age by <1 week are housed in a single room/building, and 1 cohort is removed before the entry of the next.
Four coordinated, multisite production systems, each consisting of 1 MF farm that includes both gilts and pigs to produce replacement female stock, 1 GDU farm to raise replacement female gilts from 3 to ~26 weeks of age, and 4 BTW farms to raise pigs for meat, were selected to monitor the dynamics of IAV transmission in swine breeding herds. Systems are located across the United States. System 1's MF and GDU sites are located in Illinois and its BTW sites in Georgia. Systems 2, 3, and 4 are located entirely in Illinois, Oklahoma, and Nebraska, respectively.
Nasal swab samples were collected from pigs monthly during September 2012-September 2013 from each farm in all 4 systems. The animal type and time of sampling differed on the different farm types. On the MF and BTW farms, samples were collected from 30 piglets at <<3 weeks of age and from 30 gilts. On the MFs, 30 gilts were sampled before entry to the farm. On the GDU farms, 30 animals at <<26 weeks of age were sampled before movement to a BTW. In the BTWs, gilts were sampled before breeding (4-8 weeks after arrival) and piglets were sampled immediately before weaning (Figure 1). This strategy enabled assessment of IAV status before the movement of animals to the next stage of production. Laboratory methods are summarized in the online Technical Appendix (http://wwwnc. cdc.gov/EID/article/21/10/14-0633-Techapp1.pdf).
During the 13-month period spanning September 2012-September 2013, a total of 14,954 swab samples were collected and tested for the presence of the IAV matrix gene by real-time reverse transcription PCR. Of the samples collected, 741 (5.0%) tested positive, which is consistent with previous surveillance studies (8).
Bivariate analysis found statistically significant correlations between infection and location in Illinois, GDU farm type, and system 2 (p<0.001 for all), but not for age (Table 1). We then constructed a logistic regression model that assessed the effect of age, system, location, and farm type on having a positive influenza result. Age was statistically significant by this model (p = 0.004); the odds ratio for piglets at weaning whose samples tested positive for IAV was 1.3 (95% CI 1.1-1.6) compared to that for gilts (Table 2), which is consistent with previous studies (9). However, this finding could be related to interaction between age and state/system. System 2 again had higher odds of positive results (OR 1.7, 95% CI 1.3-2.3) compared with system 1. MF pigs were found to have a lower risk for infection (OR 0.7, 95% CI 0.5-0.9) and GDU pigs to have a higher risk for infection (OR 1.6, 95% CI 1.2-2.1) when compared with BTW pigs. Finally, Illinois had higher odds for IAV infection (OR 3.2, 95% CI 2.6-4.0) compared with the other 3 states.
IAV subtypes were determined for 25.2% of the IAV positive samples (Figure 2). All 3 common porcine influenza subtypes (H1N1, H1N2, and H3N2) were detected during the 13-month surveillance period. Increased prevalence of IAV was detected in piglets (MF pigs, GDU, BTW pigs) in all 4 systems, particularly in systems 1, 2, and 4, from winter to early summer (Figure 2, panels A, B, D), which is consistent with other studies (8). Multiple subtype detection occurred only on BTW farms in system 2 (Figure 2, panel B).
We found that IAV infection was present at all stages of swine production within coordinated production systems. Animal age, geographic location, and type of farm affected risk for infection. We also found continuing virus circulation in all populations year round, although prevalence was higher from winter through early summer. To fully elucidate the factors that contribute to persistent IAV infection in swine farms and therefore develop evidence-based control strategies, further research is needed.
We thank the swine producers and veterinary staff for their participation and cooperation in this study. We thank Adam Rubrum, Jerry Parker, Rich Elia, Mark Weilnau, Scott Krauss, and Pamela McKenzie for their excellent technical assistance, data management, and administrative support. Additionally, we thank Julie Groff for assistance with graphic design.
This study was supported by the National Institute of Allergy and Infectious Diseases, the National Institutes of Health Department of Health and Human Services (contract no. HHSN266200700005C), and the American Lebanese Syrian Associated Charities.
Dr. Kaplan is a postdoctoral research associate at St. Jude Children's Research Hospital in Memphis. His research interests include virus ecology, virus evolution, and the molecular determinants of virus host range.
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Address for correspondence: James F. Lowe, MS Lowe Consulting Ltd. 404 Pin Oak Dr, Albers, IL, USA, 62215; email: firstname.lastname@example.org
Author affiliations: St. Jude Children's Research Hospital, Memphis, Tennessee, USA (B.S. Kaplan, J. DeBeauchamp, E. Stigger-Rosser, J. Franks, J.C. Crumpton, J. Turner, D. Darnell, T Jeevan, G. Kayali, R.J. Webby); Lowe Consulting Ltd., Albers, Illinois, USA (A. Harding, J.F. Lowe); University of Illinois College of Veterinary Medicine, Urbana, Illinois, USA (J.F. Lowe).
Table 1. Epidemiologic data for influenza A virus among swine in coordinated swine production systems, United States, September 2012-September 2013* Variable No. No. (%) p value samples positive samples State * Georgia 2,520 73 (2.9) Illinois 4,490 408 (9.1) < 0.001 Nebraska 3,894 126 (3.2) Oklahoma 4,050 134 (3.3) Age group Gilt 8,028 375 (4.7) 0.85 Piglet 6,926 366 (5.3) Farm type MF, giltsf 1,526 67 (4.4) MF, piglets 1,559 72 (4.6) GDU 1,455 115 (7.9) < 0.001 BTW 10,414 487 (4.7) System 1 3,673 142 (3.9) 2 3,337 339 (10.2) < 0.001 3 4,050 134 (3.3) 4 3,894 126 (3.2) * Piglets were sampled before weaning; gilts were sampled at entry to MFs and before moving from GDUs to BTWs. MF, multiplier farm; GDU, gilt development unit; BTW, breed-to-wean. Table 2. Correlation between age, state, farm type or production system, and influenza A virus status in swine in coordinated production systems, United States, September 2012- September 2013 * Factor aOR (95% CI) p value Age group Piglet vs. gilt 1.3 (1.1 -1.6) 0.004 State Illinois vs. Oklahoma 1.9 (1.4-2.6) < 0.001 Farm type MF piglets vs. BTW 0.7 (0.5-0.9) 0.011 GDU vs. BTW 1.6 (1.2-2.1) < 0.001 System number 2 vs. 1 1.7 (1.3-2.3) < 0.001 * Only statistically significant factors are shown; full analysis is provided in the online Technical Appendix (http://wwwnc.cdc.gov/ EID/article/21/10/14-0633-Techapp1.pdf). aOR, adjusted odds ratio; CI, confidence interval; MF, multiplier farm; GDU, gilt development unit; BTW, breed-to-wean.
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|Author:||Kaplan, Bryan S.; DeBeauchamp, Jennifer; Stigger-Rosser, Evelyn; Franks, John; Crumpton, Jeri Carol;|
|Publication:||Emerging Infectious Diseases|
|Date:||Oct 1, 2015|
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