Modelling and simulation of dengue fever spread
Being a country of a tropical climate, Singapore provides an optimal environment for Aedes mosquitoes to thrive, making Dengue endemic and persistent locally. This project presents the study and application of simulating and modelling dengue disease in Singapore by examining the Susceptible-Infec...
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| Andre forfattere: | |
| Format: | Final Year Project (FYP) |
| Sprog: | English |
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Nanyang Technological University
2021
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| Online adgang: | https://hdl.handle.net/10356/148015 |
| _version_ | 1826128849302192128 |
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| author | Goh, Jacintha Jia Xuan |
| author2 | Huang Shell Ying |
| author_facet | Huang Shell Ying Goh, Jacintha Jia Xuan |
| author_sort | Goh, Jacintha Jia Xuan |
| collection | NTU |
| description | Being a country of a tropical climate, Singapore provides an optimal environment for
Aedes mosquitoes to thrive, making Dengue endemic and persistent locally. This
project presents the study and application of simulating and modelling dengue disease
in Singapore by examining the Susceptible-Infected-Recovered (SIR) model in the
DengueME framework. The determining parameter, that is the infection rate β from
the SIR model was estimated and then used for prediction to analyse the dengue
situation of the year. The Least Square Logarithmic Regression model was performed
with the estimated β values to predict the possible number of weekly dengue incidence
cases for the subsequent month. The results showed that modelling dengue disease is
promising in observing the effectiveness of prevention and control measures, even
with a simple model. This serves to prove that mathematical models have huge
potential in aiding health policymakers to come up with suitable mitigation measures
for dengue spread and extend the use of models to other diseases in Singapore. |
| first_indexed | 2024-10-01T07:31:15Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/148015 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:31:15Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1480152021-04-22T05:20:12Z Modelling and simulation of dengue fever spread Goh, Jacintha Jia Xuan Huang Shell Ying School of Computer Science and Engineering ASSYHUANG@ntu.edu.sg Engineering::Computer science and engineering Being a country of a tropical climate, Singapore provides an optimal environment for Aedes mosquitoes to thrive, making Dengue endemic and persistent locally. This project presents the study and application of simulating and modelling dengue disease in Singapore by examining the Susceptible-Infected-Recovered (SIR) model in the DengueME framework. The determining parameter, that is the infection rate β from the SIR model was estimated and then used for prediction to analyse the dengue situation of the year. The Least Square Logarithmic Regression model was performed with the estimated β values to predict the possible number of weekly dengue incidence cases for the subsequent month. The results showed that modelling dengue disease is promising in observing the effectiveness of prevention and control measures, even with a simple model. This serves to prove that mathematical models have huge potential in aiding health policymakers to come up with suitable mitigation measures for dengue spread and extend the use of models to other diseases in Singapore. Bachelor of Engineering (Computer Science) 2021-04-22T05:20:12Z 2021-04-22T05:20:12Z 2021 Final Year Project (FYP) Goh, J. J. X. (2021). Modelling and simulation of dengue fever spread. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148015 https://hdl.handle.net/10356/148015 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Goh, Jacintha Jia Xuan Modelling and simulation of dengue fever spread |
| title | Modelling and simulation of dengue fever spread |
| title_full | Modelling and simulation of dengue fever spread |
| title_fullStr | Modelling and simulation of dengue fever spread |
| title_full_unstemmed | Modelling and simulation of dengue fever spread |
| title_short | Modelling and simulation of dengue fever spread |
| title_sort | modelling and simulation of dengue fever spread |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/148015 |
| work_keys_str_mv | AT gohjacinthajiaxuan modellingandsimulationofdenguefeverspread |