Pemodelan ramalan trend penyakit Influenza H1N1 menggunakan model bersepadu Seiqre
The H1N1 influenza outbreak, which initially infected over 15,000 individuals in Malaysia, served as a stark warning to healthcare professionals and all stakeholders in Malaysia and global health sectors. This study proposes SEIQRE model to manage and prevent the spread of influenza through quaranti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2025
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| Online Access: | http://journalarticle.ukm.my/25770/ http://journalarticle.ukm.my/25770/1/87-104%20-.pdf |
| _version_ | 1848816444744138752 |
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| author | Emmerline Shelda Siaw, Saratha Sathasivam, Sabastine, Emmanuel Adebayo, Salaudeen Abdulwaheed |
| author_facet | Emmerline Shelda Siaw, Saratha Sathasivam, Sabastine, Emmanuel Adebayo, Salaudeen Abdulwaheed |
| author_sort | Emmerline Shelda Siaw, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | The H1N1 influenza outbreak, which initially infected over 15,000 individuals in Malaysia, served as a stark warning to healthcare professionals and all stakeholders in Malaysia and global health sectors. This study proposes SEIQRE model to manage and prevent the spread of influenza through quarantine strategies and natural recovery mechanisms. By employing the Runge-Kutta method, the study provides deeper insights into the dynamics of H1N1 influenza and develops effective strategies to mitigate transmission and reduce risk in high-prevalence areas. Analysis of key epidemiological parameters reveals that reinfection plays a significant role in triggering a backward bifurcation, challenging the conventional reliance on a basic reproduction number less than one. A modified model excluding reinfection confirms a forward bifurcation. These findings underscore the importance of incorporating quarantine, bifurcation effects, and scaling factors into effective infection control strategies. This research contributes to global efforts to combat the H1N1 pandemic and safeguard public health in Malaysia. |
| first_indexed | 2025-11-15T01:05:59Z |
| format | Article |
| id | oai:generic.eprints.org:25770 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:05:59Z |
| publishDate | 2025 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:257702025-08-20T03:01:03Z http://journalarticle.ukm.my/25770/ Pemodelan ramalan trend penyakit Influenza H1N1 menggunakan model bersepadu Seiqre Emmerline Shelda Siaw, Saratha Sathasivam, Sabastine, Emmanuel Adebayo, Salaudeen Abdulwaheed The H1N1 influenza outbreak, which initially infected over 15,000 individuals in Malaysia, served as a stark warning to healthcare professionals and all stakeholders in Malaysia and global health sectors. This study proposes SEIQRE model to manage and prevent the spread of influenza through quarantine strategies and natural recovery mechanisms. By employing the Runge-Kutta method, the study provides deeper insights into the dynamics of H1N1 influenza and develops effective strategies to mitigate transmission and reduce risk in high-prevalence areas. Analysis of key epidemiological parameters reveals that reinfection plays a significant role in triggering a backward bifurcation, challenging the conventional reliance on a basic reproduction number less than one. A modified model excluding reinfection confirms a forward bifurcation. These findings underscore the importance of incorporating quarantine, bifurcation effects, and scaling factors into effective infection control strategies. This research contributes to global efforts to combat the H1N1 pandemic and safeguard public health in Malaysia. Penerbit Universiti Kebangsaan Malaysia 2025-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/25770/1/87-104%20-.pdf Emmerline Shelda Siaw, and Saratha Sathasivam, and Sabastine, Emmanuel and Adebayo, Salaudeen Abdulwaheed (2025) Pemodelan ramalan trend penyakit Influenza H1N1 menggunakan model bersepadu Seiqre. Journal of Quality Measurement and Analysis, 21 (1). pp. 87-104. ISSN 2600-8602 https://www.ukm.my/jqma/ |
| spellingShingle | Emmerline Shelda Siaw, Saratha Sathasivam, Sabastine, Emmanuel Adebayo, Salaudeen Abdulwaheed Pemodelan ramalan trend penyakit Influenza H1N1 menggunakan model bersepadu Seiqre |
| title | Pemodelan ramalan trend penyakit Influenza H1N1 menggunakan model bersepadu Seiqre |
| title_full | Pemodelan ramalan trend penyakit Influenza H1N1 menggunakan model bersepadu Seiqre |
| title_fullStr | Pemodelan ramalan trend penyakit Influenza H1N1 menggunakan model bersepadu Seiqre |
| title_full_unstemmed | Pemodelan ramalan trend penyakit Influenza H1N1 menggunakan model bersepadu Seiqre |
| title_short | Pemodelan ramalan trend penyakit Influenza H1N1 menggunakan model bersepadu Seiqre |
| title_sort | pemodelan ramalan trend penyakit influenza h1n1 menggunakan model bersepadu seiqre |
| url | http://journalarticle.ukm.my/25770/ http://journalarticle.ukm.my/25770/ http://journalarticle.ukm.my/25770/1/87-104%20-.pdf |