Online and offline social contact survey data analysis
In the recent years, the increase in the outbreak of influenza pandemic has affected the worldwide human population. Social Contact between individuals is contributory for the direct transmission spread of influenza. Thus, it is important to grasp the patterns of social contacts in a population. Sur...
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sg-ntu-dr.10356-463692023-07-07T16:52:54Z Online and offline social contact survey data analysis Foo, Amanda Kar Wee. Xiao Gaoxi School of Electrical and Electronic Engineering A*STAR Institute of High Performance Computing DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In the recent years, the increase in the outbreak of influenza pandemic has affected the worldwide human population. Social Contact between individuals is contributory for the direct transmission spread of influenza. Thus, it is important to grasp the patterns of social contacts in a population. Surveys were randomly distributed to assess the number of social contacts for both weekdays and weekends at different locations. The studies reveal that the highest number of contact on a weekday for students is during school curriculum and for the working population is in the workplace. The weekend activities varies according to each individual preference but the locations that have the highest average number throughout the entire day are places of worship, shopping in town and nearby, market and in the swimming pool. In the event of pandemic, intervention measures should be taken in institutions, organizations, places of worship and in the swimming pool. The public should also be advised to reduce shopping and marketing activities. Studies were also done on the comparison between online and offline surveys to ensure accuracy of information provided by the respondents. The results were not of statistical significance, thus the online and offline surveys provided by the respondents were proved to be of equal importance. Bachelor of Engineering 2011-12-05T06:44:11Z 2011-12-05T06:44:11Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/46369 en Nanyang Technological University 93 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Foo, Amanda Kar Wee. Online and offline social contact survey data analysis |
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In the recent years, the increase in the outbreak of influenza pandemic has affected the worldwide human population. Social Contact between individuals is contributory for the direct transmission spread of influenza. Thus, it is important to grasp the patterns of social contacts in a population. Surveys were randomly distributed to assess the number of social contacts for both weekdays and weekends at different locations. The studies reveal that the highest number of contact on a weekday for students is during school curriculum and for the working population is in the workplace. The weekend activities varies according to each individual preference but the locations that have the highest average number throughout the entire day are places of worship, shopping in town and nearby, market and in the swimming pool. In the event of pandemic, intervention measures should be taken in institutions, organizations, places of worship and in the swimming pool. The public should also be advised to reduce shopping and marketing activities. Studies were also done on the comparison between online and offline surveys to ensure accuracy of information provided by the respondents. The results were not of statistical significance, thus the online and offline surveys provided by the respondents were proved to be of equal importance. |
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Xiao Gaoxi |
author_facet |
Xiao Gaoxi Foo, Amanda Kar Wee. |
format |
Final Year Project |
author |
Foo, Amanda Kar Wee. |
author_sort |
Foo, Amanda Kar Wee. |
title |
Online and offline social contact survey data analysis |
title_short |
Online and offline social contact survey data analysis |
title_full |
Online and offline social contact survey data analysis |
title_fullStr |
Online and offline social contact survey data analysis |
title_full_unstemmed |
Online and offline social contact survey data analysis |
title_sort |
online and offline social contact survey data analysis |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/46369 |
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1772829049217875968 |