Applying SARIMA, ETS, and hybrid models for prediction of tuberculosis incidence rate in Taiwan
Background Tuberculosis (TB) remained one of the world’s most deadly chronic communicable diseases. Future TB incidence prediction is a benefit for intervention options and resource-allocation planning. We aimed to develop rapid univariate prediction models for epidemics forecasting employment. Meth...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2022-09-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/13117.pdf |