Early Warning Methods Based on a Real Time Series Dataset: A Comparative Study
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5803-6_1
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4. Sparks, R.S., Keighley, T., Muscatello, D.: Early warning CUSUM plans for surveillance of negative binomial daily disease counts. J. Appl. Stat. 37(11), 1911–1929 (2010)
5. Buckeridge, D.L., et al.: Understanding detection performance in public health surveillance: modeling aberrancy-detection algorithms. J. Am. Med. Inform. Assoc. 15(6), 760–769 (2008)
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