Extending the forecasting horizon of daily new COVID-19 cases using non-pharmaceutical measures and the effective reproduction number (Rt): A deep learning-based framework
Amid the ongoing pandemic, such as the Covid-19 outbreak, there exists a critical need to comprehend and forecast the dynamic trends of daily confirmed cases to effectively prevent and mitigate the impact of its consequences. This study aims to investigate the essential factors acting as predic...
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| Main Author: | Tuga Mauritsius |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2025-01-01
|
| Series: | Decision Science Letters |
| Online Access: | http://www.growingscience.com/dsl/Vol14/dsl_2025_8.pdf |
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