Forecasting and modelling of Rift Valley fever outbreaks using Autoregressive Integrated Moving Average (ARIMA) models: Evaluating the impact of 2018 and 2021 Rift Valley fever outbreaks on Kenyan food price index
The Rift Valley fever (RVF) disease, a climate-sensitive zoonosis, causes 100% abortions and death in infected animals. This shock has an immediate effect on the food prices, particularly the animal-sourced foods. This study used an Interrupted Time Series (ITS) approach combined with Auto regressiv...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/177539 |
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