![]() ![]() Research Corporation Cottrell Scholar Award (2007) Research Corporation Scialog Award for Solar Energy Conversion (2011)ĪCS ExxonMobil Solid State Chemistry Fellowship Award (2008) Research Corporation SciaLog Collaborative Innovation Award for Solar Energy Conversion (2012) in Chemistry, Peking (Beijing) University, Beijing, China. LieberĢ002 PhD in Chemistry, Cornell University, Ithaca, NY. Phone: (608)262-1562, FAX: (608)262-0453, E-mail: ĩ/13 to present Professor, Department of Chemistry, University of Wisconsin-Madisonħ/10 to 8/13 Associate Professor, Department of Chemistry, University of Wisconsin-MadisonĨ/04 to 6/10 Assistant Professor, Department of Chemistry, University of Wisconsin-Madisonġ/05 to present Faculty member of Materials Science Program (MSP), UW-MadisonĢ002-2004 Postdoctoral FellowHarvard University, Cambridge, MA. doi: 10.1080/, Department of Chemistry, University of Wisconsin-Madisonġ101 University Avenue, Madison, Wisconsin 53706 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. ![]()
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