COVID-19 CASES PREDICTION AFTER VACCINATION USING SEIVR MODEL AND LATIN HYPERCUBE SAMPLING
Since it was first identified, the COVID-19 virus has become a common problem for most countries in the world, including Indonesia. Therefore, predictions from the course of COVID-19 are crucial for policy makers to optimize virus management. Currently, there are various types of models to predict t...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/72097 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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