Skip to main content
ARS Home » Northeast Area » Wyndmoor, Pennsylvania » Eastern Regional Research Center » Docs » IPMP 2013

IPMP 2013
headline bar


The USDA Integrated Pathogen Modeling Program (IPMP 2013)




What is IPMP 2013?


            IPMP 2013 is a new generation predictive microbiology tool.  It is designed to analyze experimental data commonly encountered in predictive microbiology and for the development of predictive models.


Why IPMP 2013?


            Modern predictive microbiology has significantly evolved since the 1980's.  While progress has been achieved in predictive microbiology research, there is, however, no comprehensive data analysis and model development tool.  Many researchers use commercial general-purpose statistical analysis and mathematical tools, such as SAS?, Matlab?, Mathematica?, S-Plus?, or SPSS?, while others use open-source statistical analysis tools, such as R, for data analysis and model development.  Unfortunately most of these general-purpose tools require program-specific programming.  For someone lacking programming knowledge, it can be difficult to use these tools effectively.  Additionally, commercial statistical packages and math tools are expensive.  IPMP 2013 is developed by USDA-ARS to meet the needs of the predictive microbiology scientific community.  Offered as a free tool, IPMP is a simple-to-use data analysis platform for developing predictive models.  With IPMP 2013, anyone, with a basic knowledge of predictive microbiology, can use it to analyze kinetic data and develop predictive models for microorganisms.


What can IPMP 2013 do?


            IPMP 2013 is a data analysis tool developed to analyze the kinetic data of microbial growth and inactivation frequently found in predictive microbiology.  It is specifically designed to develop primary and secondary models, and contains user-friendly interfaces that allow the user to enter and analyze kinetic data by selecting certain mathematical models.


What is required to use IPMP 2013?


            All the statistical analysis and model development are handled seamlessly behind the scenes.  No programming knowledge is needed.  The user only needs to enter the data and click a few buttons on the screen to complete any data analysis.  The only requirement is that the user have a basic knowledge of predictive microbiology to allow for the selection of suitable models for data analysis.


What models are included in IPMP 2013?


            IPMP 2013 was developed to analyze primary and secondary models.  More complex models may be included in the future.  The primary models include common growth and inactivation models.  They can be used to analyze full growth curves (containing all three phases), incomplete growth curves, or inactivation/survival curves.  The secondary models are used to evaluate the effect of temperature on growth rate.


IPMP 2013 Tutorial

Updates since last version 1-9-14.pdf

Click for tutorial


Download IPMP 2013


          IPMP 2013 has been compiled for the Windows operating system.  It is distributed as a zip file under a directory (IPMP2013).  Please download the zip file and unzip (copy) it to a directory (IPMP2013).  Please keep every file under the same directory.  For detailed installation instructions, please click here.


      Link to download IPMP2013


For technical questions and comments, please contact





            The The USDA Integrated Pathogen Modeling Program (IPMP) 2013 is a software tool developed by the USDA Agricultural Research Service (ARS) for data analysis and model development in predictive microbiology.  USDA grants to each recipient of this software non-exclusive, royalty free, world-wide, permission to use, copy, publish, distribute, perform publicly and display publicly this software.  We would appreciate acknowledgement if the software is used. 


            The software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, noninfringement and any warranty that this software is free from defects.  In no event shall USDA be liable for any claim, loss, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.


            The risk of any and all loss, damage, or unsatisfactory performance of this software rests with you, the recipient.  USDA provides no warranties, either express or implied, regarding the appropriateness of the use, output, or results of the use of the software in terms of its correctness, accuracy, reliability, being current or otherwise.  USDA has no obligation to correct errors, make changes, support this software, distribute updates, or provide notification of any error or defect, known or unknown.  If you, the recipient, rely upon this software, you do so at your own risk and you assume the responsibility for the results.  Should this software prove defective, you assume the cost of all losses, including but not limited to, any necessary servicing, repair or correction of any property involved.


            Please contact Dr. Lihan Huang ( ) for technical questions.


Suggested Citation


Huang, L. 2014. IPMP 2013 - A comprehensive data analysis tool for predictive microbiology. International Journal of Food Microbiology, 171:100-107.


Huang, L. 2013.  USDA Integrated Pathogen Modeling Program (/Main/docs.htm?docid=23355).  USDA Agricultural Research Service, Eastern Regional Research Center, Wyndmoor, PA.