RE-PLAN: Evidence-Based Response Planning


User-Centered, Data-Driven Response Planning with RE-PLAN

RE-PLAN uses population data at the individual or household level to make it easy to:

Click here to download a flyer which summarizes the features of RE-PLAN.

RE-PLAN was created at the Center for Computational Epidemiology and Response Analysis (CeCERA).

Support for the RE-PLAN project has been provided by the National Institutes of Health (1R01LM011647-01 and 1R15LM010804-01), the National Science Foundation (NSF 1514390), the Texas Department of State Health Services, and Tarrant County, TX.

Publications

  • Indrakanti S, Mikler AR, O’Neill M, II, Tiwari C (2016) Quantifying Access Disparities in Response Plans. PLoS ONE 11(1): e0146350.
  • Ramisetty-Mikler, S., Mikler, A. R., O’Neill, M., & Komatz, S. J. (2015). Conceptual Framework and Quantification of Population Vulnerability for Effective Emergency Response Planning. Journal of Emergency Management, 13(3), 227–238. http://doi.org/DOI:10.5055
  • O’Neill II, M., Indrakanti, S., Schneider, T., & Mikler, A. R. (2014). RE-PLAN: An Extensible Software Architecture to Facilitate Disaster Response Planning. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1569–1583.
  • Jimenez, T., Mikler, A. R., & Tiwari, C. (2012). A Novel Space Partitioning Algorithm to Improve Current Practices in Facility Placement. IEEE Transactions on Systems, Man, and Cybernetics. Part A, Systems and Humans : A Publication of the IEEE Systems, Man, and Cybernetics Society, 42(5), 1194–1205. http://doi.org/10.1109/TSMCA.2012.2183360
  • Jimenez, T., Tiwari, C., Mikler, A. R., & II, M. O. (2012). Maps, Rates, and Fuzzy Mountains: Generating Meaningful Risk Maps. In IEEE International Conference on Bioinformatics and Biomedicine. Philadelphia, PA.
  • O’Neill II, M., Mikler, A. R., & Schneider, T. (2011). An Extensible Software Architecture to Facilitate Disaster Response Planning. In BIOCOMP’11. Las Vegas, NV.
  • Schneider, T., & Mikler, A. R. (2010). RE-PLAN: A Computational Tool for Response Plan Analysis. International Journal of Functional Informatics and Personalised Medicine, 3(2), 103–121.
  • Schneider, T., Mikler, A. R., & O’Neill II, M. (2009). Analyzing Response Feasibility for Bioemergencies. In Proceedings of the 2009 International Joint Conferences on System Biology, Bioinformatics and Intelligent Computing. Shanghai, China.
  • Schneider, T., Mikler, A. R., & O’Neill II, M. (2009). Computational Tools for Evaluating Bioemergency Contingency Plans. In Proceedings of the 2009 International Conference on Disaster Management.

Dissertations