Epidemiological inferences using public information, influenza H7N9 epidemic in China

Eric H.Y. Lau, Jiandong Zheng, Tim K. Tsang, Qiaohong Liao, Bryan Lewis, John S. Brownstein, Sharon Sanders, Sumiko R. Mekaru, Caitlin Rivers, Gabriel M. Leung, Luzhao Feng, Benjamin J. Cowling, Hongjie Yu

Abstract


Compared to inferences based on the official line list, publicly-available line lists were able to provide generally similar inferences on descriptive epidemiology and transmissibility with little time-lag, but less accurate estimates of severity because of the lack of publicly-available information on discharge dates for recovered cases. Our findings highlight the potential value in constructing a minimum dataset with standardized format and definition, and regular updates of patient status.


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DOI: https://doi.org/10.5210/ojphi.v7i1.5809



Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org