National Agricultural Library (United States Department of Agriculture).
Searches for book and material citations in the National Agricultural Library (NACL) Catalog (AGRICOLA) on predictive microbiology.
National Agricultural Library (United States Department of Agriculture).
Searches for book and material citations in the National Agricultural Library (NACL) Catalog (AGRICOLA) on predictive microbiology.
Food Safety Research Information Office (National Agricultural Library [United States Department of Agriculture]).
Review current research projects from the Food Safety Research Information Office (FSRIO) database dealing with predictive microbiology.
Agricultural Research Service (United States Department of Agriculture).
Search for publications published and maintained by the Agricultural Research Service (ARS), part of the United States Department of Agriculture (USDA), that deal with predictive microbiology.
Agricultural Research Service (United States Department of Agriculture).
ComBase is an online quantitative food microbiology database that contains more than 65,000 records collected from research organizations and published scientific articles.
National Library of Medicine (National Institute of Health [United States Department of Health and Human Services]).
Searches for article citations on predictive microbiology in the PubMed database.
Agricultural Research Service (United States Department of Agriculture).
Provides quantitative microbiological data that describes how microorganisms change overtime and respond to different food environments.
Agricultural Research Service (United States Department of Agriculture).
Online software tool for predictive microbiology. Includes a pathogen modeling program, a combined database, and a resource locator. Designed for industrial use.
Federal Institute for Risk Assessment (Germany).
Contains a brief introduction to pathogens with documents and press-releases on microbial risks.
Food Safety Authority of Ireland.
Provides general information on predictive microbiology. Includes: development and limitations of models, and microbiological modeling programs.