A comparative analysis of bayesian network and ARIMA approaches to malaria outbreak prediction
© Springer International Publishing AG 2018. Disease outbreaks are important to predict since they indicate hot spots of transmission with high risk of spread to neighboring regions and can thus guide the allocation of resources. While numeric prediction models can be easily used for outbreak predic...
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| Main Authors: | , , |
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| 格式: | Conference or Workshop Item |
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2019
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| 在線閱讀: | https://repository.li.mahidol.ac.th/handle/123456789/45672 |
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| 機構: | Mahidol University |