Renata Ivanek

About

Renata Ivanek, DVM, MS, PhD, is a Professor in the Department of Population Medicine and Diagnostic Sciences at Cornell University College of Veterinary Medicine. Her research integrates expertise in epidemiology, veterinary medicine, public health, mathematical modeling, biostatistics, machine learning, and risk assessment. Her work focuses on identifying and evaluating strategies to control infectious diseases in humans and animals, enhancing antimicrobial stewardship in livestock, and sustainably increasing food safety from farm to table. Additionally, she addresses the technical and ethical challenges of applying artificial intelligence methods in food and veterinary systems, including data governance, standardization, and sharing. Dr. Ivanek holds a Doctor of Veterinary Medicine degree from the Faculty of Veterinary Medicine at the University of Zagreb, an MS in Veterinary Epidemiology from the Royal Veterinary College & London School of Hygiene and Tropical Medicine, and a PhD in Comparative Biomedical Sciences with a concentration in Epidemiology from Cornell University. Her professional experience includes positions at Texas A&M University, where she served as Assistant Professor, Associate Professor, and held a joint appointment in Epidemiology and Biostatistics. Since 2015, she has been a faculty member at Cornell University, where she is a tenured Professor and co-directs the Combined DVM-PhD Degree Program Pathway and the Cornell Institute for Digital…

Research topics

• Biology
• Environmental science
• Agricultural science
• Biotechnology
• Environmental health
• Medicine
• Business
• Marketing
• Ecology
• Geography

Selected publications

• Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water

  Frontiers in Microbiology · 2020 · 74 citations

  levels to predict when there is a high or low risk of surface water being contaminated by pathogens) are needed to assess and mitigate the food safety risks associated with preharvest water use. By identifying environmental factors associated with an increased likelihood of detecting pathogens in agricultural water, this study provides information that (i) can be used to assess when pathogen contamination of agricultural water is likely to occur, and (ii) facilitate development of targeted inter…

  DOI

• New York State dairy farmers’ perceptions of antibiotic use and resistance: A qualitative interview study

  PLoS ONE · 2020 · 62 citations

  Senior authorCorresponding

  Antibiotic resistance is a global problem affecting both human and animal health. Ensuring the strategic and effective use of antibiotics is paramount to combatting the emergence and spread of resistance. This study explored New York State (NYS) dairy farmers' perceptions regarding antibiotic use in dairy farming and antibiotic resistance. Dairy farmers' perceptions were assessed through semi-structured, in-person interviews. Twenty interviews with farm owners and/or managers of 15 conventional…

  PublisherOA PDFDOI

• Public perceptions of antibiotic use on dairy farms in the United States

  Journal of Dairy Science · 2021 · 61 citations

  Senior authorCorresponding

  There has been a global push for improved antimicrobial stewardship, including in animal agriculture, due to growing concerns about antimicrobial resistance. However, little is known about the general public's perceptions of antimicrobial use in animal agriculture. The aim of this study was to explore the US public's perceptions of antibiotic use in dairy farming and how these perceptions influence purchasing decisions. Data from the 2017 Cornell National Social Survey developed in collaboration…

  PublisherOA PDFDOI

• Thermal inactivation spectrum of influenza A H5N1 virus in raw milk

  Nature Communications · 2025-04-07 · 20 citations

  articleOpen access

  The spillover of highly pathogenic avian influenza (HPAI) H5N1 virus to dairy cows and shedding of high amounts of infectious virus in milk raised public health concerns. Here, we evaluated the decay and thermal stability spectrum of HPAI H5N1 virus in raw milk. For the decay studies, HPAI H5N1 positive raw milk was incubated at different temperatures and viral titers and the decimal reduction time values (D-values) were estimated. We then heat-treated HPAI H5N1 virus positive milk using differe…

  PublisherOA PDFDOI

• Transmission dynamics of highly pathogenic avian influenza among multiple waterfowl species and backyard poultry: the impact of the stopover period

  Scientific Reports · 2025-02-18 · 6 citations

  articleOpen accessSenior author

  Spillover of Highly Pathogenic Avian Influenza (HPAI) to backyard poultry via migratory birds threatens the poultry industry and public health. To improve the understanding of spillover events, we developed a stochastic compartmental mathematical model of HPAI transmission dynamics at the waterfowl-backyard poultry interface in a high-risk area for HPAI introduction into poultry. The model described the infection spread among resident and migratory waterfowl and backyard poultry farms and was va…

  PublisherOA PDFDOI

Frequent coauthors

• Martin Wiedmann

  Cornell University

  73 shared

• Yrjo T. Gröhn

  56 shared

• Amelia Greiner Safi

  43 shared

• Ece Bulut

  Cornell University

  43 shared

• P. Moroni

  University of Milan

  40 shared

• Michelle Wemette

  Cornell University

  28 shared

• Wendy Beauvais

  22 shared

• Sebastián Llanos‐Soto

  Cornell University

  21 shared

Labs

• IvanekLabPI

  Our computer lab solves societal problems related to infectious and foodborne diseases, and food production using cutting-edge modeling and epidemiologic methods.

Awards & honors

• Mark Gearhart Graduate Student Award ($1,000)
• Sigma Xi, Honor Scientific Research Society
• Texas A&M’s College of Veterinary Medicine & Biomedical Scie…
• Zoetis Award for Veterinary Research Excellence ($1,000)
• SUNY Chancellor's Award for Excellence in Teaching

Similar researchers at Cornell University

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