Generation of an Etiology Index Based on Confirmed Tissue Diagnosis Data to Assess Endemic Swine Etiology Activity in the United States of America.
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| Title: | Generation of an Etiology Index Based on Confirmed Tissue Diagnosis Data to Assess Endemic Swine Etiology Activity in the United States of America. |
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| Authors: | Cezar GA; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, USA, iastate.edu., Zhang D; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, USA, iastate.edu., Main RG; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, USA, iastate.edu., Burrough ER; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, USA, iastate.edu., Nicolino RR; Department of Preventive Veterinary Medicine, School of Veterinary Medicine, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil, ufmg.br., da Costa MR; Centre for Epidemiology and Planetary Health, School of Veterinary Medicine and Biosciences, SRUC (Scotland's Rural College), Edinburgh, UK., Silva G; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, USA, iastate.edu., Linhares DCL; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, USA, iastate.edu., Trevisan G; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa, USA, iastate.edu. |
| Source: | Transboundary and emerging diseases [Transbound Emerg Dis] 2026 Jun 09; Vol. 2026, pp. 9910689. Date of Electronic Publication: 2026 Jun 09 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Verlag Country of Publication: Germany NLM ID: 101319538 Publication Model: eCollection Cited Medium: Internet ISSN: 1865-1682 (Electronic) Linking ISSN: 18651674 NLM ISO Abbreviation: Transbound Emerg Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1865-1682 |
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| DOI: | 10.1155/tbed/9910689 |
