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Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong
The spread of many respiratory infections is determined by contact patterns between infectious and susceptible individuals in the population. There are no published data for quantifying social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong which is a hotspot...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554254/ https://www.ncbi.nlm.nih.gov/pubmed/28801623 http://dx.doi.org/10.1038/s41598-017-08241-1 |
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author | Leung, Kathy Jit, Mark Lau, Eric H. Y. Wu, Joseph T. |
author_facet | Leung, Kathy Jit, Mark Lau, Eric H. Y. Wu, Joseph T. |
author_sort | Leung, Kathy |
collection | PubMed |
description | The spread of many respiratory infections is determined by contact patterns between infectious and susceptible individuals in the population. There are no published data for quantifying social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong which is a hotspot for emerging infectious diseases due to its high population density and connectivity in the air transportation network. We adopted a commonly used diary-based design to conduct a social contact survey in Hong Kong in 2015/16 using both paper and online questionnaires. Participants using paper questionnaires reported more contacts and longer contact duration than those using online questionnaires. Participants reported 13 person-hours of contact and 8 contacts per day on average, which decreased over age but increased with household size, years of education and income level. Prolonged and frequent contacts, and contacts at home, school and work were more likely to involve physical contacts. Strong age-assortativity was observed in all age groups. We evaluated the characteristics of social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong. Our findings could help to improve the design of future social contact surveys, parameterize transmission models of respiratory infectious diseases, and inform intervention strategies based on model outputs. |
format | Online Article Text |
id | pubmed-5554254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55542542017-08-15 Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong Leung, Kathy Jit, Mark Lau, Eric H. Y. Wu, Joseph T. Sci Rep Article The spread of many respiratory infections is determined by contact patterns between infectious and susceptible individuals in the population. There are no published data for quantifying social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong which is a hotspot for emerging infectious diseases due to its high population density and connectivity in the air transportation network. We adopted a commonly used diary-based design to conduct a social contact survey in Hong Kong in 2015/16 using both paper and online questionnaires. Participants using paper questionnaires reported more contacts and longer contact duration than those using online questionnaires. Participants reported 13 person-hours of contact and 8 contacts per day on average, which decreased over age but increased with household size, years of education and income level. Prolonged and frequent contacts, and contacts at home, school and work were more likely to involve physical contacts. Strong age-assortativity was observed in all age groups. We evaluated the characteristics of social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong. Our findings could help to improve the design of future social contact surveys, parameterize transmission models of respiratory infectious diseases, and inform intervention strategies based on model outputs. Nature Publishing Group UK 2017-08-11 /pmc/articles/PMC5554254/ /pubmed/28801623 http://dx.doi.org/10.1038/s41598-017-08241-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Leung, Kathy Jit, Mark Lau, Eric H. Y. Wu, Joseph T. Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong |
title | Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong |
title_full | Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong |
title_fullStr | Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong |
title_full_unstemmed | Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong |
title_short | Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong |
title_sort | social contact patterns relevant to the spread of respiratory infectious diseases in hong kong |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554254/ https://www.ncbi.nlm.nih.gov/pubmed/28801623 http://dx.doi.org/10.1038/s41598-017-08241-1 |
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