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Enhancing COVID‐19 Forecasting Accuracy in Malaysia Using a Hybrid ARIMA‐LSTM Model With Exogenous Variables: A Time‐Series Predictive Study
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| Published in: | Health Science Reports |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868847780311597056 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Health Science Reports |
| description | |
| discipline_display | Health and Safety |
| discipline_facet | Health and Safety |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:95058 |
| institution | FRELIP |
| journal_source_facet | Health Science Reports |
| last_indexed | 2026-06-24T03:35:28.979Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Enhancing COVID‐19 Forecasting Accuracy in Malaysia Using a Hybrid ARIMA‐LSTM Model With Exogenous Variables: A Time‐Series Predictive Study Health and Safety General Health and Safety |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Health and Safety General Health and Safety |
| subject_facet | Health and Safety General Health and Safety |
| title | Enhancing COVID‐19 Forecasting Accuracy in Malaysia Using a Hybrid ARIMA‐LSTM Model With Exogenous Variables: A Time‐Series Predictive Study |
| title_alt | Mejora de la precisión del pronóstico de COVID-19 en Malasia mediante un modelo híbrido ARIMA-LSTM con variables exógenas: un estudio predictivo de series temporales Amélioration de la précision des prévisions de COVID-19 en Malaisie à l'aide d'un modèle hybride ARIMA-LSTM avec variables exogènes : une étude prédictive de séries temporelles Melhorando a Precisão da Previsão da COVID-19 na Malásia Usando um Modelo Híbrido ARIMA-LSTM com Variáveis Exógenas: Um Estudo Preditivo de Séries Temporais |
| title_auth | Enhancing COVID‐19 Forecasting Accuracy in Malaysia Using a Hybrid ARIMA‐LSTM Model With Exogenous Variables: A Time‐Series Predictive Study |
| title_es_txt | Mejora de la precisión del pronóstico de COVID-19 en Malasia mediante un modelo híbrido ARIMA-LSTM con variables exógenas: un estudio predictivo de series temporales |
| title_fr_txt | Amélioration de la précision des prévisions de COVID-19 en Malaisie à l'aide d'un modèle hybride ARIMA-LSTM avec variables exogènes : une étude prédictive de séries temporelles |
| title_full | Enhancing COVID‐19 Forecasting Accuracy in Malaysia Using a Hybrid ARIMA‐LSTM Model With Exogenous Variables: A Time‐Series Predictive Study |
| title_fullStr | Enhancing COVID‐19 Forecasting Accuracy in Malaysia Using a Hybrid ARIMA‐LSTM Model With Exogenous Variables: A Time‐Series Predictive Study |
| title_full_unstemmed | Enhancing COVID‐19 Forecasting Accuracy in Malaysia Using a Hybrid ARIMA‐LSTM Model With Exogenous Variables: A Time‐Series Predictive Study |
| title_pt_txt | Melhorando a Precisão da Previsão da COVID-19 na Malásia Usando um Modelo Híbrido ARIMA-LSTM com Variáveis Exógenas: Um Estudo Preditivo de Séries Temporais |
| title_short | Enhancing COVID‐19 Forecasting Accuracy in Malaysia Using a Hybrid ARIMA‐LSTM Model With Exogenous Variables: A Time‐Series Predictive Study |
| title_sort | enhancing covid‐19 forecasting accuracy in malaysia using a hybrid arima‐lstm model with exogenous variables: a time‐series predictive study |
| topic | Health and Safety General Health and Safety |
| url | https://onlinelibrary.wiley.com/doi/10.1002/hsr2.72684?af=R |