Evaluating the Effectiveness of Intervention Strategies in Controlling Dengue Fever Outbreaks with ASEI-SVIR Model
| dc.contributor.author | Ibnu Ameerul Bin Abdul Halim | |
| dc.date.accessioned | 2026-04-28T08:11:39Z | |
| dc.date.issued | 2025 | |
| dc.description | Dengue fever remains a significant public health concern in Malaysia, where outbreaks are recurrent and challenging to control. Despite the availability of intervention strategies such as larvicide, fogging, and vaccination, there remains a lack of comprehensive studies that quantitatively evaluate their individual and combined effectiveness over time. This study addresses this gap by developing an ASEI-SVIR compartmental model integrated with optimal control theory to assess the impact of different dengue intervention strategies on disease transmission dynamics. The aim of this research is to identify the most effective intervention strategy for controlling dengue outbreaks using mathematical modelling. The model divides the human and mosquito populations into epidemiologically relevant compartments and introduces three control variables representing larvicide (𝑢1), fogging (𝑢2), and vaccination (𝑢3). These strategies, both individually and in combination, were simulated using the forward backward sweep method with a fourth-order Runge-Kutta scheme in Python. The key findings reveal that fogging is the most effective strategy in the short term due to its immediate impact on adult mosquitoes, while vaccination provides more substantial benefits over the long term by reducing human susceptibility. Among all strategies tested, the combined application of larvicide, fogging, and vaccination resulted in the greatest reduction of both infected mosquito and human populations. This research contributes to epidemiological field by offering a quantitative framework for evaluating dengue control strategies, aiding policymakers in planning more effective intervention programs. However, the model’s assumptions such as homogeneous mixing, constant parameters, and exclusion of environmental factors may not accurately reflect real-world dynamics. Future work should consider additional strategies such as Wolbachia deployment or alternative optimization techniques to improve accuracy and applicability in real-world scenarios. | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/554 | |
| dc.language.iso | English | |
| dc.publisher | Universiti Malaysia Sarawak | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.title | Evaluating the Effectiveness of Intervention Strategies in Controlling Dengue Fever Outbreaks with ASEI-SVIR Model | |
| dc.type | Final Year Project |