Construction and evaluation of two computational models for predicting the incidence of influenza in Nagasaki Prefecture, Japan
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-07475-3.pdf
Reference23 articles.
1. Cox, N. J. & Subbarao, K. Influenza. Lancet 354, 1277–1282 (1999).
2. Okabe, N., Yamashita, K. & Inouye, K. T. Influenza surveillance system of Japan and acute encephalitis and encephalopathy in the influenza season. Pediatrics International 42, 187–191 (2000).
3. Murakami, Y. et al. Estimated Number of Patients with Influenza A (H1) pdm09, or Other Viral Types, from 2010 to 2014 in Japan. PloS one 11, e0146520 (2016).
4. Fox, J. P., Cooney, M. K., Hall, C. E. & Foy, H. M. Influenzavirus infections in Seattle families, 1975–1979. II. Pattern of infection in invaded households and relation of age and prior antibody to occurrence of infection and related illness. Am J Epidemiol 116, 228–242 (1982).
5. Ginsberg, J. et al. Detecting influenza epidemics using search engine query data. Nature 457, 1012–1014, doi: 10.1038/nature07634 (2009).
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