Using the kalman filter with Arima for the COVID-19 pandemic dataset of Pakistan
The current pandemic of the Novel Corona virus (COVID-19) has resulted in multifold challenges related to health, economy, and society, etc. for the entire world. Many mathematical epidemiological models have been tried for the available data of the COVID-19 pandemic with the core objective to obser...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-08-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920307484 |
| _version_ | 1811328707405545472 |
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| author | Muhammad Aslam |
| author_facet | Muhammad Aslam |
| author_sort | Muhammad Aslam |
| collection | DOAJ |
| description | The current pandemic of the Novel Corona virus (COVID-19) has resulted in multifold challenges related to health, economy, and society, etc. for the entire world. Many mathematical epidemiological models have been tried for the available data of the COVID-19 pandemic with the core objective to observe the trend and trajectories of infected cases, recoveries, and deaths, etc. However, these models have their own assumptions and parameters and vary with regional demography. This article suggests the use of a more pragmatic approach of the Kalman filter with the Autoregressive Integrated Moving Average (ARIMA) models in order to obtain more precise forecasts for the figures of prevalence, active cases, recoveries, and deaths related to the COVID-19 outbreak in Pakistan. |
| first_indexed | 2024-04-13T15:30:50Z |
| format | Article |
| id | doaj.art-3cab1ee59758481086299c0d2637ef14 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-13T15:30:50Z |
| publishDate | 2020-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-3cab1ee59758481086299c0d2637ef142022-12-22T02:41:23ZengElsevierData in Brief2352-34092020-08-0131105854Using the kalman filter with Arima for the COVID-19 pandemic dataset of PakistanMuhammad Aslam0Department of Statistics, Bahauddin Zakariya University, Multan 60800, PakistanThe current pandemic of the Novel Corona virus (COVID-19) has resulted in multifold challenges related to health, economy, and society, etc. for the entire world. Many mathematical epidemiological models have been tried for the available data of the COVID-19 pandemic with the core objective to observe the trend and trajectories of infected cases, recoveries, and deaths, etc. However, these models have their own assumptions and parameters and vary with regional demography. This article suggests the use of a more pragmatic approach of the Kalman filter with the Autoregressive Integrated Moving Average (ARIMA) models in order to obtain more precise forecasts for the figures of prevalence, active cases, recoveries, and deaths related to the COVID-19 outbreak in Pakistan.http://www.sciencedirect.com/science/article/pii/S2352340920307484Arima modelCOVID-2019 pandemicForecastHolt-winters’ methodInfection controlKalman filter |
| spellingShingle | Muhammad Aslam Using the kalman filter with Arima for the COVID-19 pandemic dataset of Pakistan Data in Brief Arima model COVID-2019 pandemic Forecast Holt-winters’ method Infection control Kalman filter |
| title | Using the kalman filter with Arima for the COVID-19 pandemic dataset of Pakistan |
| title_full | Using the kalman filter with Arima for the COVID-19 pandemic dataset of Pakistan |
| title_fullStr | Using the kalman filter with Arima for the COVID-19 pandemic dataset of Pakistan |
| title_full_unstemmed | Using the kalman filter with Arima for the COVID-19 pandemic dataset of Pakistan |
| title_short | Using the kalman filter with Arima for the COVID-19 pandemic dataset of Pakistan |
| title_sort | using the kalman filter with arima for the covid 19 pandemic dataset of pakistan |
| topic | Arima model COVID-2019 pandemic Forecast Holt-winters’ method Infection control Kalman filter |
| url | http://www.sciencedirect.com/science/article/pii/S2352340920307484 |
| work_keys_str_mv | AT muhammadaslam usingthekalmanfilterwitharimaforthecovid19pandemicdatasetofpakistan |