Mathematical modeling of the transmission and control of foodborne pathogens and antimicrobial resistance at preharvest.
Foodborne diseases are a significant health-care and economic burden. Most foodborne pathogens are enteric pathogens harbored in the gastrointestinal tract of farm animals. Understanding the transmission of foodborne pathogens and the dissemination of antimicrobial resistance at the farm level is necessary to design effective control strategies at preharvest. Mathematical models improve our understanding of pathogen dynamics by providing a theoretical framework in which factors affecting transmission and control of the pathogens can be explicitly considered. In this review, we aim to present the principles underlying the mathematical modeling of foodborne pathogens and antimicrobial resistance at the farm level to a broader audience.
Department of Population Medicine and Diagnostic Sciences, Cornell University , Ithaca, New York, USA. clanzas@utk.edu
Cristina
C
Lanzas
Zhao
Z
Lu
Yrjo T
YT
Gröhn
D000383:Agriculture; D000818:Animals; D018562:Disease Transmission, Infectious / Q000706:statistics & numerical data / Q000662:veterinary*; D004352:Drug Resistance, Microbial; D005516:Food Microbiology / Q000706:statistics & numerical data; D005517:Foodborne Diseases / Q000453:epidemiology / Q000662:veterinary*; D006801:Humans; D058751:Livestock / Q000382:microbiology*; D008954:Models, Biological; D008962:Models, Theoretical; D013269:Stochastic Processes; D015047:Zoonoses / Q000453:epidemiology