LENA is a software tool to assist with analyzing and comparing emergency statutes, regulations, and policies. It was developed by PHASYS (Public Health Adaptive Systems Studies), a Preparedness & Emergency Response Research Center funded by the Centers for Disease Control and Prevention, and by the Public Health Dynamics Laboratory at the Graduate School of Public Health, University of Pittsburgh. LENA presents network visualizations of the relationships among agents in the public health systems as mandated by federal and state law to participate in emergency preparation, response, and recovery. These agents include public health departments, healthcare providers, emergency medical responders, emergency managers, schools, and many others. LENA users can compare these legally defined relationships using interactive software and can access a complete inventory of the relevant legal texts.
For a visual user guide to LENA click here.
A PDF instruction sheet on how to use LENA can be found here.
You can run LENA on your browser as an applet or you can download and run it as a standalone application under various operating systems. It requires the latest version of Java. To download LENA
- As a web-based Java applet click here (Older version, discontinued and not maintained)
- As a standalone 32-bit application in Windows click here and 64-bit application in Windows click here to download the zip file
- As a standalone application in Mac OS X click here to download the zip file
- As a standalone application in 32-bit Linux click here in 64-bit Linux click here to download the zip file
This work was funded through the Center for Public Health Practice by the Centers for Disease Control and Prevention (cooperative agreement 5P01TP000304). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention. This work was also supported by the National Institute of General Medical Sciences MIDAS grant 1U54GM088491-01, which had no role in study design, data collection and analysis, decision to publish, or preparation of manuscripts or software.