Social mixing patterns in rural and urban areas of southern China
Open Access
- 22 June 2014
- journal article
- research article
- Published by The Royal Society in Proceedings Of The Royal Society B-Biological Sciences
- Vol. 281 (1785), 20140268
- https://doi.org/10.1098/rspb.2014.0268
Abstract
A dense population, global connectivity and frequent human–animal interaction give southern China an important role in the spread and emergence of infectious disease. However, patterns of person-to-person contact relevant to the spread of directly transmitted infections such as influenza remain poorly quantified in the region. We conducted a household-based survey of travel and contact patterns among urban and rural populations of Guangdong, China. We measured the character and distance from home of social encounters made by 1821 individuals. Most individuals reported 5–10 h of contact with around 10 individuals each day; however, both distributions have long tails. The distribution of distance from home at which contacts were made is similar: most were within a kilometre of the participant's home, while some occurred further than 500 km away. Compared with younger individuals, older individuals made fewer contacts which tended to be closer to home. There was strong assortativity in age-based contact rates. We found no difference between the total number or duration of contacts between urban and rural participants, but urban participants tended to make contacts closer to home. These results can improve mathematical models of infectious disease emergence, spread and control in southern China and throughout the region.Keywords
This publication has 27 references indexed in Scilit:
- Representative Contact Diaries for Modeling the Spread of Infectious Diseases in TaiwanPLOS ONE, 2012
- Social encounter networks: collective properties and disease transmissionJournal of The Royal Society Interface, 2012
- Measured Dynamic Social Contact Patterns Explain the Spread of H1N1v InfluenzaPLoS Computational Biology, 2012
- The importance of including dynamic social networks when modeling epidemics of airborne infections: does increasing complexity increase accuracy?BMC Medicine, 2011
- Social Contact Patterns in Vietnam and Implications for the Control of Infectious DiseasesPLOS ONE, 2011
- Travel Patterns in ChinaPLOS ONE, 2011
- The Global Circulation of Seasonal Influenza A (H3N2) VirusesScience, 2008
- Social Contacts and Mixing Patterns Relevant to the Spread of Infectious DiseasesPLoS Medicine, 2008
- Duration and distance of exposure are important predictors of transmission among community contacts of Ontario SARS casesEpidemiology and Infection, 2007
- An exploratory spatial analysis of pneumonia and influenza hospitalizations in Ontario by age and genderEpidemiology and Infection, 2006