Center for Statistics and Quantitative Infectious Diseases – Software Development & Core Facilities
Tue 03.15.16
Center for Statistics and Quantitative Infectious Diseases – Software Development & Core Facilities
Tue 03.15.16
Tue 03.15.16
Tue 03.15.16
Tue 03.15.16
Tue 03.15.16
The Center for Statistics and Quantitative Infectious Diseases (CSQUID) is a multi-institutional MIDAS Center of Excellence with a multi-disciplinary approach to computational, statistical, and mathematical modeling of important infectious diseases. Research is motivated by multi-scale problems such as immunologic, epidemiologic, and environmental drivers of the spread of infectious diseases with the goal of understanding and communicating the implications for public health policy.
To extend the results of the MIDAS Center’s research projects beyond academia, the Software Development team, led by Northeastern professor Alessandro Vespignani, will help translate the research into products that can be used by external researchers and public health officials. To do so, the team will integrate some of the independently developed tools to create a coherent computational infrastructure that is more than the sum of its methodological parts. In particular, the Software Development team will develop and maintain a suite of computational tools for infectious disease modeling and analysis centered around a multi-scale modeling computational platform (MCP), optimized for cloud deployment.
The major aims of these software developments are:
The Center for Statistics and Quantitative Infectious Diseases (CSQUID) is a multi-institutional MIDAS Center of Excellence with a multi-disciplinary approach to computational, statistical, and mathematical modeling of important infectious diseases. Research is motivated by multi-scale problems such as immunologic, epidemiologic, and environmental drivers of the spread of infectious diseases with the goal of understanding and communicating the implications for public health policy.
To extend the results of the MIDAS Center’s research projects beyond academia, the Software Development team, led by Northeastern professor Alessandro Vespignani, will help translate the research into products that can be used by external researchers and public health officials. To do so, the team will integrate some of the independently developed tools to create a coherent computational infrastructure that is more than the sum of its methodological parts. In particular, the Software Development team will develop and maintain a suite of computational tools for infectious disease modeling and analysis centered around a multi-scale modeling computational platform (MCP), optimized for cloud deployment.
The major aims of these software developments are: