On the early detecting of the COVID-19 outbreak
Introduction: This paper aims to measure the performance of early detection methods, which are usually used for infectious diseases. Methodology: By using real data of confirmed Coronavirus cases from the Kingdom of Saudi Arabia and Italy, the moving epidemic method (MEM) and the moving average...
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| Format: | Article |
| Language: | English |
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The Journal of Infection in Developing Countries
2021-11-01
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| Series: | Journal of Infection in Developing Countries |
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| Online Access: | https://jidc.org/index.php/journal/article/view/13914 |
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| _version_ | 1850148261839503360 |
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| author | Mohammed Aba Oud Muqrin Almuqrin |
| author_facet | Mohammed Aba Oud Muqrin Almuqrin |
| author_sort | Mohammed Aba Oud |
| collection | DOAJ |
| description |
Introduction: This paper aims to measure the performance of early detection methods, which are usually used for infectious diseases.
Methodology: By using real data of confirmed Coronavirus cases from the Kingdom of Saudi Arabia and Italy, the moving epidemic method (MEM) and the moving average cumulative sums (Mov. Avg Cusum) methods are used in our simulation study.
Results: Our results suggested that the CUSUM method outperforms the MEM in detecting the start of the Coronavirus outbreak.
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| format | Article |
| id | doaj-art-c206ec2424d041c386776aef9317b950 |
| institution | OA Journals |
| issn | 1972-2680 |
| language | English |
| publishDate | 2021-11-01 |
| publisher | The Journal of Infection in Developing Countries |
| record_format | Article |
| series | Journal of Infection in Developing Countries |
| spelling | doaj-art-c206ec2424d041c386776aef9317b9502025-08-20T02:27:18ZengThe Journal of Infection in Developing CountriesJournal of Infection in Developing Countries1972-26802021-11-01151110.3855/jidc.13914On the early detecting of the COVID-19 outbreakMohammed Aba Oud0Muqrin Almuqrin1Department of Mathematics and Statistics, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Kingdom of Saudi ArabiaDepartment of Mathematics, Faculty of Science in Zulfi, Majmaah University, Kingdom of Saudi Arabia Introduction: This paper aims to measure the performance of early detection methods, which are usually used for infectious diseases. Methodology: By using real data of confirmed Coronavirus cases from the Kingdom of Saudi Arabia and Italy, the moving epidemic method (MEM) and the moving average cumulative sums (Mov. Avg Cusum) methods are used in our simulation study. Results: Our results suggested that the CUSUM method outperforms the MEM in detecting the start of the Coronavirus outbreak. https://jidc.org/index.php/journal/article/view/13914Public healthCOVID-19monitoringdetection methodMEMCUSUM |
| spellingShingle | Mohammed Aba Oud Muqrin Almuqrin On the early detecting of the COVID-19 outbreak Journal of Infection in Developing Countries Public health COVID-19 monitoring detection method MEM CUSUM |
| title | On the early detecting of the COVID-19 outbreak |
| title_full | On the early detecting of the COVID-19 outbreak |
| title_fullStr | On the early detecting of the COVID-19 outbreak |
| title_full_unstemmed | On the early detecting of the COVID-19 outbreak |
| title_short | On the early detecting of the COVID-19 outbreak |
| title_sort | on the early detecting of the covid 19 outbreak |
| topic | Public health COVID-19 monitoring detection method MEM CUSUM |
| url | https://jidc.org/index.php/journal/article/view/13914 |
| work_keys_str_mv | AT mohammedabaoud ontheearlydetectingofthecovid19outbreak AT muqrinalmuqrin ontheearlydetectingofthecovid19outbreak |