![]() “As a School of Engineering and Applied Sciences, we take immense pride in the profound impact our faculty have on society, and we remain committed to fostering an environment that cultivates innovation, collaboration and societal responsibility.” “I am extremely proud of the research that our early career faculty are leading,” says Kemper Lewis, dean and professor of the School of Engineering and Applied Sciences. In total, they will receive nearly $2.9 million in funding for their respective projects, which include both research on pressing societal problems and outreach to diverse communities. Erdem Sariyuce and Ziming Zhao, assistant professors in the Department of Computer Science and Engineering Prathima Nalam, assistant professor in the Department Materials Design and Innovation and Sangwoo Shin, assistant professor in the Department of Mechanical and Aerospace Engineering, are recipients of one of the most prestigious honors for early-career scientists and engineers. Epidemic Forest: A Spatiotemporal Model for Communicable Diseases. Li M., Shi X., Li X., Ma W., He J., Liu T. Multiscale mobility networks and the spatial spreading of infectious diseases. Imperial College London, UK: 2020.īalcan D., Colizza V., Gonçalves B., Hu H., Ramasco J.J., Vespignani A. Report 9: Impact of Non-Pharmaceutical Interventions (NPIs) to Reduce COVID19 Mortality and Healthcare Demand. doi: 10.1016/j.epidem.2014.07.001.įerguson N., Laydon D., Gilani G.N., Imai N., Ainslie K., Baguelin M., Bhatia S., Boonyasiri A., Perez Z.C., Cuomo-Dannenburg G. Five challenges for spatial epidemic models. Riley S., Eames K., Isham V., Mollison D., Trapman P. Commuter Mobility and the Spread of Infectious Diseases: Application to Influenza in France. Individualized validation influenza-like illness transmission-driving factors urban spaces.Ĭharaudeau S., Pakdaman K., Boëlle P.-Y. With more fine-scaled health data becoming available, the findings of this study may see increasing value in informing policies that improve population health and urban livability. The validation substantiates the effectiveness of factors pertinent to urban spaces and unveils the underlying mechanism that connects urban spaces and population health. The validation accuracy reaches 73.2-95.1%. ![]() For the second objective, we investigate the effectiveness of the factor sets through an impact analysis. The effort is supported by an ensemble approach. First, we aim to model and, most importantly, validate influenza-like illness (ILI) symptoms at the individual scale based on four sets of transmission-driving factors pertinent to home-work space, service space, ambient environment, and demographics. The objectives of this study are twofold. ![]() These gaps significantly undermine the efficacy of the models in assessing the vulnerability of individuals, communities, and urban society. Because of the lack of individual-scaled validations, the effectiveness of factors at their intended scale is not substantiated. Further, a large number of transmission-driving factors have been considered in these models. Current disease models are able to predict health outcomes at the individual scale but are mostly validated at coarse scales due to the lack of fine-scaled ground truth data. Urban dwellers are exposed to communicable diseases, such as influenza, in various urban spaces. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |