Evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza
It is believed that combined interventions may be more effective than individual interventions in mitigating epidemic. However there is a lack of quantitative studies on performance of the combination of individual interventions under different temporal settings. Methodology/Principal...
| Main Authors: | , , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
|
| Online Access: | https://hdl.handle.net/10356/95232 http://hdl.handle.net/10220/9142 |
| _version_ | 1826117826175303680 |
|---|---|
| author | Zhang, Tianyou Fu, Xiuju Ma, Stefan Xiao, Gaoxi Wong, Limsoon Kwoh, Chee Keong Lees, Michael Lee, Gary Kee Khoon Hung, Terence |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Zhang, Tianyou Fu, Xiuju Ma, Stefan Xiao, Gaoxi Wong, Limsoon Kwoh, Chee Keong Lees, Michael Lee, Gary Kee Khoon Hung, Terence |
| author_sort | Zhang, Tianyou |
| collection | NTU |
| description | It is believed that combined interventions may be more effective than individual interventions in mitigating epidemic. However there is a lack of quantitative studies on performance of the combination of individual interventions under different temporal settings.
Methodology/Principal Findings:
To better understand the problem, we develop an individual-based simulation model running on top of contact networks based on real-life contact data in Singapore. We model and evaluate the spread of influenza epidemic with intervention strategies of workforce shift and its combination with school closure, and examine the impacts of temporal factors, namely the trigger threshold and the duration of an intervention. By comparing simulation results for intervention scenarios with different temporal factors, we find that combined interventions do not always outperform individual interventions and are more effective only when the duration is longer than 6 weeks or school closure is triggered at the 5% threshold; combined interventions may be more effective if school closure starts first when the duration is less than 4 weeks or workforce shift starts first when the duration is longer than 4 weeks. |
| first_indexed | 2024-10-01T04:34:01Z |
| format | Journal Article |
| id | ntu-10356/95232 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:34:01Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/952322022-02-16T16:29:13Z Evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza Zhang, Tianyou Fu, Xiuju Ma, Stefan Xiao, Gaoxi Wong, Limsoon Kwoh, Chee Keong Lees, Michael Lee, Gary Kee Khoon Hung, Terence School of Electrical and Electronic Engineering It is believed that combined interventions may be more effective than individual interventions in mitigating epidemic. However there is a lack of quantitative studies on performance of the combination of individual interventions under different temporal settings. Methodology/Principal Findings: To better understand the problem, we develop an individual-based simulation model running on top of contact networks based on real-life contact data in Singapore. We model and evaluate the spread of influenza epidemic with intervention strategies of workforce shift and its combination with school closure, and examine the impacts of temporal factors, namely the trigger threshold and the duration of an intervention. By comparing simulation results for intervention scenarios with different temporal factors, we find that combined interventions do not always outperform individual interventions and are more effective only when the duration is longer than 6 weeks or school closure is triggered at the 5% threshold; combined interventions may be more effective if school closure starts first when the duration is less than 4 weeks or workforce shift starts first when the duration is longer than 4 weeks. Published version 2013-02-19T03:01:22Z 2019-12-06T19:10:54Z 2013-02-19T03:01:22Z 2019-12-06T19:10:54Z 2012 2012 Journal Article Zhang, T., Fu, X., Ma, S., Xiao, G., Wong, L., Kwoh, C. K., et al. (2012). Evaluating Temporal Factors in Combined Interventions of Workforce Shift and School Closure for Mitigating the Spread of Influenza. PLoS ONE, 7(3). 1932-6203 https://hdl.handle.net/10356/95232 http://hdl.handle.net/10220/9142 10.1371/journal.pone.0032203 22403634 en PLoS ONE © 2012 The Authors. application/pdf |
| spellingShingle | Zhang, Tianyou Fu, Xiuju Ma, Stefan Xiao, Gaoxi Wong, Limsoon Kwoh, Chee Keong Lees, Michael Lee, Gary Kee Khoon Hung, Terence Evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza |
| title | Evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza |
| title_full | Evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza |
| title_fullStr | Evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza |
| title_full_unstemmed | Evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza |
| title_short | Evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza |
| title_sort | evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza |
| url | https://hdl.handle.net/10356/95232 http://hdl.handle.net/10220/9142 |
| work_keys_str_mv | AT zhangtianyou evaluatingtemporalfactorsincombinedinterventionsofworkforceshiftandschoolclosureformitigatingthespreadofinfluenza AT fuxiuju evaluatingtemporalfactorsincombinedinterventionsofworkforceshiftandschoolclosureformitigatingthespreadofinfluenza AT mastefan evaluatingtemporalfactorsincombinedinterventionsofworkforceshiftandschoolclosureformitigatingthespreadofinfluenza AT xiaogaoxi evaluatingtemporalfactorsincombinedinterventionsofworkforceshiftandschoolclosureformitigatingthespreadofinfluenza AT wonglimsoon evaluatingtemporalfactorsincombinedinterventionsofworkforceshiftandschoolclosureformitigatingthespreadofinfluenza AT kwohcheekeong evaluatingtemporalfactorsincombinedinterventionsofworkforceshiftandschoolclosureformitigatingthespreadofinfluenza AT leesmichael evaluatingtemporalfactorsincombinedinterventionsofworkforceshiftandschoolclosureformitigatingthespreadofinfluenza AT leegarykeekhoon evaluatingtemporalfactorsincombinedinterventionsofworkforceshiftandschoolclosureformitigatingthespreadofinfluenza AT hungterence evaluatingtemporalfactorsincombinedinterventionsofworkforceshiftandschoolclosureformitigatingthespreadofinfluenza |