Spreading of dengue fever in Singapore : a network based study
There is an approach based on complex network to model the dengue fever transmission network in both time and space scales proposed in this paper. Particularly, 6647 cases of dengue fever in Singapore from 2009-2010 are used to build the disease transmission network to study the propagation characte...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/78669 |
| _version_ | 1826120704859308032 |
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| author | Zhang, Ke |
| author2 | Xiao Gaoxi |
| author_facet | Xiao Gaoxi Zhang, Ke |
| author_sort | Zhang, Ke |
| collection | NTU |
| description | There is an approach based on complex network to model the dengue fever transmission network in both time and space scales proposed in this paper. Particularly, 6647 cases of dengue fever in Singapore from 2009-2010 are used to build the disease transmission network to study the propagation characteristics. Firstly, the Knox test was extended to obtain the main temporal and spatial interaction ranges at a distance of 400 m in 1 week and that of 14.3-14.7 km in second week. Secondly, I pair the cases in 3 different conditions to build 3 networks as the study objects, full cases network, space-time proximity transmission (STPT) network and the human daily traveling transmission (HDTT) network. And the last, through the analysis about assortativity and key nodes identification on 3 networks, the transmission characteristics of 3 patterns have been compared and the key area of transmission has been shown. The significant of STPT network is lower than HDTT network, which means the transmission of dengue fever in Singapore depends more on human movement. |
| first_indexed | 2024-10-01T05:20:49Z |
| format | Thesis |
| id | ntu-10356/78669 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:20:49Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/786692023-07-04T16:23:23Z Spreading of dengue fever in Singapore : a network based study Zhang, Ke Xiao Gaoxi School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering There is an approach based on complex network to model the dengue fever transmission network in both time and space scales proposed in this paper. Particularly, 6647 cases of dengue fever in Singapore from 2009-2010 are used to build the disease transmission network to study the propagation characteristics. Firstly, the Knox test was extended to obtain the main temporal and spatial interaction ranges at a distance of 400 m in 1 week and that of 14.3-14.7 km in second week. Secondly, I pair the cases in 3 different conditions to build 3 networks as the study objects, full cases network, space-time proximity transmission (STPT) network and the human daily traveling transmission (HDTT) network. And the last, through the analysis about assortativity and key nodes identification on 3 networks, the transmission characteristics of 3 patterns have been compared and the key area of transmission has been shown. The significant of STPT network is lower than HDTT network, which means the transmission of dengue fever in Singapore depends more on human movement. Master of Science (Signal Processing) 2019-06-25T06:40:21Z 2019-06-25T06:40:21Z 2019 Thesis http://hdl.handle.net/10356/78669 en 71 p. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Zhang, Ke Spreading of dengue fever in Singapore : a network based study |
| title | Spreading of dengue fever in Singapore : a network based study |
| title_full | Spreading of dengue fever in Singapore : a network based study |
| title_fullStr | Spreading of dengue fever in Singapore : a network based study |
| title_full_unstemmed | Spreading of dengue fever in Singapore : a network based study |
| title_short | Spreading of dengue fever in Singapore : a network based study |
| title_sort | spreading of dengue fever in singapore a network based study |
| topic | Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/78669 |
| work_keys_str_mv | AT zhangke spreadingofdenguefeverinsingaporeanetworkbasedstudy |