Transmission of Swine Influenza A Viruses along Pig Value Chains, Cambodia, 2020–2022
Arata Hidano, Dina Koeut, Hannah Holt, William T.M. Leung, Sokhom Krean, Vutha Chhim, Bunnary Seng, Sovanncheypo Chao, Wong Foong Ying, Pov Son, Sina Vor, Sokchea Huy, Ty Chhay, Sothyra Tum, San Sorn, Monidarin Chou, Yvonne C.F. Su, Gavin J.D. Smith, and James W. Rudge
Author affiliation: London School of Hygiene and Tropical Medicine Faculty of Public Health and Policy, London, United Kingdom (A. Hidano, H. Holt, W.T.M. Leung, J.W. Rudge); Ministry of Agriculture, Forestry and Fisheries National Animal Health and Production Research Institute, Phnom Penh, Cambodia (D. Koeut, S. Krean, V. Chhim, B. Seng, S. Chao, S. Tum, S. Sorn); Duke – National University of Singapore Medical School, Singapore (W.F. Ying, Y.C.F. Su, G.J.D. Smith); Livestock Development for Community Livelihood Organization, Phnom Penh (P. Son, S. Vor, S. Huy, T. Chhay); University of Health Sciences, Phnom Penh (M. Chou)
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Figure 1
Figure 1. Multivariable analyses in a study of transmission of swine influenza A viruses along pig value chains, Cambodia, 2020–2022. We analyzed exposure variables for associations with ELISA-confirmed influenza A serostatus (red) and PCR-confirmed active infection (blue) at the individual-pig level. Boxes indicate mean, horizontal bars attached to boxes indicate 95% CrI, vertical dotted lines indicate aOR = 1. We estimated posterior aORs and 95% CrI, shown on a log scale, using Bayesian hierarchical regression models derived from a directed acyclic graph. *Model numbers indicated in aOR columns correspond to models described in Appendix Table 1. 95% CrI, 95% credible interval; aOR, adjusted odds ratios; SH, slaughterhouse.
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