Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)

Songwei Shan, Qi Tan, Yiu Chung Lau, Zhanwei Du, Eric H. Y. Lau, Peng Wu, Benjamin J. Cowling

AAAI 2022 pp. 13045-13046

doi:10.1609/AAAI.V36I11.21659 /aaai/2022/shan2022aaai-optimizing/

Abstract

For better monitoring and controlling influenza, WHO has launched FluNet (recently integrated to FluMART) to provide a unified platform for participating countries to routinely collect influenza-related syndromic, epidemiological and virological data. However, the reported data were incomplete.We propose a novel surveillance system based on data from multiple sources to accurately assess the epidemic status of different countries, especially for those with missing surveillance data in some periods. The proposed method can automatically select a small set of reliable and informative indicators for assessing the underlying epidemic status and proper supporting data to train the predictive model. Our proactive selection method outperforms three other out-of-box methods (linear regression, multilayer perceptron, and long-short term memory) to make accurate predictions.

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Cite

Text

Shan et al. "Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21659

Markdown

[Shan et al. "Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/shan2022aaai-optimizing/) doi:10.1609/AAAI.V36I11.21659

BibTeX

@inproceedings{shan2022aaai-optimizing,
  title     = {{Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)}},
  author    = {Shan, Songwei and Tan, Qi and Lau, Yiu Chung and Du, Zhanwei and Lau, Eric H. Y. and Wu, Peng and Cowling, Benjamin J.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {13045-13046},
  doi       = {10.1609/AAAI.V36I11.21659},
  url       = {https://mlanthology.org/aaai/2022/shan2022aaai-optimizing/}
}