Daniel C L Linhares
CV
Research website: www.fieldepi.org
- 2013, PhD, Veterinary Population Medicine. University of Minnesota, Minneapolis, USA
- 2007, Master in Business Administration (MBA). Fundação Getúlio Vargas, Uberlandia, Brazil
- 2003, Doctor of Veterinary Medicine Degree (DVM). Universidade Federal de Goiás. Goiania, Brazil
- Prepare graduate students to understand the big picture of the swine industry’s challenges and opportunities. Encourage graduate students to develop independent, critical thinking skills, guiding them to focus on solutions and to develop strategies to positively impact swine population health & productivity using applied science.
- VDPAM 560 - Ecology of Infectious Diseases (graduate program): instructor-in-charge
- VDPAM 487 - Livestock Disease Prevention (undergraduate students): Field Epidemiology and Causal Inference lectures
- VDPAM 445 - Production Animal Clinical Medicine (Veterinary Medicine students): Porcine reproductive and respiratory syndrome virus lecture
- VDPAM 567X - Design and Implementation of Field Trials (graduate program)
- Over 80% of my time is dedicated to applied research.
- Our research team focuses on the “development and evaluation of strategies to improve health and productivity of swine populations under field conditions.” Details are available at www.fieldepi.org
- 2022-2025 Roy Schultz Professorship in Swine Population Medicine
- 2019-2022 ISU-CVM Dean’s Faculty Fellowship in Veterinary Medicine
- 2019 ISU Award for Early Career Achievement in Research: this award is provided once/year to one tenured or tenure-track faculty with a Ph.D. of less than 9 years.
- 2018 ISU CVM Award for Early-Career Achievement in Research: this award is provided to 1 ISU-CVM faculty per year.
- 2016 Respiratory Disease Research Award by Boehringer Ingelheim Vetmedica, Inc.: this award is given to up to 3 researchers per year.
- 2015 Distinguished Contribution Award, Agroceres PIC
- 2014 Distinguished Ph.D thesis, University of Minnesota
- 2009 Carlos Pijoan Fellowship, University of Minnesota
- 2003 CNPq Fellowship, Universidade Federal de Goias, research project on swine production
- 2002 CNPq Fellowship, Universidade Federal de Goias, research project on veterinary virology
- 2001 CNPq Fellowship, Universidade Federal de Goias, research project on veterinary virology
ISU Veterinary Diagnostic and Production Animal (VDPAM) Department
- Director of Graduate Education (2015 to date)
- (Chair) VDPAM Research and Graduate Studies Committee: September 2015 – to date
- VDPAM Strategic Planning committee: April 2019 – to date.
ISU College of Veterinary Medicine (CVM)
- Research Advisory Committee (RAC): July 2016 – to date.
- Graduate Curriculum Committee: July 2017 – to date.
- Graduate College Curriculum Committee: September 2017 – to date.
- Swine Health Information Center (SHIC)’s Monitoring and Analysis working group: October 2015 – to date.
- American Association of Swine Veterinarians’ PRRS Task Force: March 2018 to date.
- Editorial board member for the Journal of Swine Health and Production: February 2018 to date.
Reviewer for scientific journals
Provided an average of 20 peer reviews per year since 2016 to multiple journals and funding agencies.
- American Association of Swine Veterinarians, Member since 2008.
- Iowa Pork Industry Center, research associate.
- Iowa Veterinary Medical Association, Member since 2016
Monitoring & Surveillance Systems – Macroepidemiology
TREVISAN G, LINHARES LCM, CRIM B, DUBEY P, SCHWARTZ KJ, BURROUGH ER, WANG C, MAIN RG, SUNDBERG P, THURN M, LAGES PTF, CORZO CA, TORRISON J, HENNINGSON J, HERRMAN E, HANZLICEK GA, RAGHAVAN R, MARTHALER D, GRESETH J, CLEMENT T, CHRISTOPHER-HENNINGS J, MUSCATELLO D, LINHARES DCL. Prediction of seasonal patterns of porcine reproductive and respiratory syndrome virus RNA detection in the U.S. swine industry. J Vet Diagn Invest. 2020; 32(3):394-400.
TREVISAN G, LINHARES LCM, CRIM B, DUBEY P, SCHWARTZ KJ, BURROUGH ER, MAIN RG, SUNDBERG P, THURN M, LAGES PTF, CORZO CA, TORRISON J, HENNINGSON J, HERRMAN E, HANZLICEK GA, RAGHAVAN R, MARTHALER D, GRESETH J, CLEMENT T, CHRISTOPHER-HENNINGS J, LINHARES DCL. Macroepidemiological aspects of porcine reproductive and respiratory syndrome virus detection by major United States veterinary diagnostic laboratories over time, age group, and specimen. Plos One. 2019 14(10):e0223544, 1-16.
Monitoring & Surveillance Systems – Herd-level data
LI P, POETA SILVA APS, MORAES DCA, YESKE P, OSEMEKE OH, MAGALHAES ES, SILVA GS, LINHARES DCL. Comparison of a novel rapid sampling method to serum and tonsil scraping to detect PRRSV in acutely infected sows. Prev. Vet. Med. 2023, 106082. doi: https://doi.org/10.1016/j.prevetmed.2023.106082.
MACHADO IF, MAGALHÃES ES, POETA SILVA APS, MORAES DCA, CEZAR G, MIL-HOMENS MP, OSEMEKE OH, PAIVA R, MOURA CAA, GAUGER P, TREVISAN G, SILVA GS, LINHARES DCL. Porcine reproductive and respiratory syndrome virus RNA detection in tongue tips from dead animals. Front Vet Sci. 2022; 9:993442. doi: https://doi.org/10.3389/fvets.2022.993442.
OSEMEKE OH, CEZAR GA, PAIVA RC, MORAES DCA, MACHADO IF, MAGALHAES E, SILVA APSP, MIL-HOMENS MP, PENG L, JAYARAMAN S, TREVISAN G, SILVA GS, GAUGER PC, LINHARES DCL. A cross-sectional assessment of PRRSV nucleic acid detection by RT-qPCR in serum, ear vein blood swabs, nasal swabs, and oral swabs from weaning-age pigs under field conditions. Front. Vet. Sci. 2023 Aug 10;10:1200376. doi: 10.3389/fvets.2023.1200376.
ALMEIDA MN, ZHANG M, HOLTKAMP DJ, ZIMMERMAN JJ, LINHARES DCL. Finding PRRSV in sow herds: family oral fluids vs. serum samples from due-to-wean pigs. Preventive Veterinary Medicine. 2021; 193:105397. doi: 10.1016/j.prevetmed.2021.105397.
ALMEIDA MN, CORZO CA, ZIMMERMAN JJ, LINHARES DCL. Longitudinal piglet sampling in commercial sow farms highlights the challenge of PRRSV detection. Porcine Health Manag. 2021; 7(31):1-10.
LOPEZ-LOPEZ WA, ZIMMERMAN JJ, GAUGER PC, HARMON K, BRADNER L, ZHANG M, GIMENEZ-LIROLA L, RAMIREZ A, CANO JP, LINHARES DCL. Practical aspects of PRRSV RNA detection in processing fluids collected in commercial swine farms. Prev Vet Med. 2020; 180(105021):1-5.
SILVA GS, SCHWARTZ M, MORRISON, RB, LINHARES DCL. Monitoring breeding herd production data to detect PRRSV outbreaks. Preventive Veterinary Medicine. 2017; (148) 89-93.
LOPEZ WA, ANGULO J, ZIMMERMAN JJ, LINHARES DCL. PRRS monitoring in breeding herds using processing fluids. Journal of Swine Health and Production. 2018; 26(3):146-150.
Disease Ecology
MOURA CAA, PHILIPS R, SILVA GS, RAMIREZ A, GAUGER PC, HOLTKAMP DJ, LINHARES DCL. Association of wild-type PRRSV detection patterns with mortality of MLV-vaccinated growing pig groups. Prev Vet Med 189 (2021) 105270:1-7.
Disease Management
HOLTKAMP D, TORREMORELL M, CORZO CA, LINHARES DCL, ALMEIDA MN, YESKE P, POLSON DD, BECTON L, SNELSON H, DONOVAN T, PITTMAN J, JOHNSON C, VILALTA C, SILVA GS, SANHUEZA J. Proposed modifications to porcine reproductive and respiratory syndrome virus herd classification. J Swine Health Prod. 2021;29(5):125-134.
SILVA GS, YESKE P, MORRISON RB, LINHARES DCL. Benefit-cost analysis to estimate the payback time and the economic value of two Mycoplasma hyopneumoniae elimination methods in breeding herds. Preventive Veterinary Medicine. 2019; 168:95-102.
LINHARES DCL, BETLACH C, MORRISON RB. Effect of immunologic solutions on sows and gilts on time to stability, and production losses in breeding herds infected with 1-7-4 PRRSv. Preventive Veterinary Medicine. 2017; (144): 112-116.
LINHARES DCL, JOHNSON C, MORRISON RB. 2015. Economic analysis of vaccination strategies for PRRS control. PLOS One. 2015; 10(12):1-10
MAGALHAES ES, ZHANG D, WANG C, THOMAS P, MOURA CAA, HOLTKAMP DJ, TREVISAN G, RADEMACHER C, SILVA GS, LINHARES DCL. Field Implementation of Forecasting Models for Predicting Nursery Mortality in a Midwestern US Swine Production System. Animals (Basel). 2023 Jul 26;13(15):2412. doi: 10.3390/ani13152412. PMID: 37570221; PMCID: PMC10417698.
MAGALHÃES ES, ZHANG D, WANG C, THOMAS P, MOURA CAA, TREVISAN G, HOLTKAMP DJ, RADEMACHER CJ, SILVA GS, LINHARES DCL. Comparing forecasting models for predicting nursery mortality under field conditions using regression and machine learning algorithms. Smart Agric. Technol. 2023 Oct; 5:100280. https://doi.org/10.1016/J.ATECH.2023.100280.