Danon, Leon, Read, Jonathan M., Keeling, Matthew James, House, Thomas A. and Vernon, Matthew C. (2009) Social contact study. [Dataset]
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4022020-lf-250413-contactsurveydata.zip - Other Available under License Open Database License (ODbL) (Attribution-Share Alike). Download (3MB) |
Abstract
| Item Type: | Dataset |
|---|---|
| Subjects: | H Social Sciences > HM Sociology R Medicine > RA Public aspects of medicine |
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) > Biological Sciences ( -2010) Faculty of Science, Engineering and Medicine > Science > Mathematics |
| Type of Data: | Survey data containing information of social contacts for over 5000 individuals; including contact duration, location, type and clustering. |
| Library of Congress Subject Headings (LCSH): | Communicable diseases -- Mathematical models, Epidemiology -- Mathematical models, Social networks -- Mathematical models |
| Publisher: | University of Warwick, Dpartment of Biological Sciences |
| Official Date: | 2009 |
| Dates: | Date Event 2009 Completion |
| Status: | Not Peer Reviewed |
| Publication Status: | Published |
| Media of Output (format): | .csv .txt |
| Access rights to Published version: | Open Access (Creative Commons open licence) |
| Description: | A team from Warwick and Liverpool Universities (lead by Matt Keeling and Jon Read) have recently received funding from the Medical Research Council (MRC) to investigate the patterns of social contacts in the UK. Knowing how many other people we meet is an important step in understanding how many people we can spread infection to, our risk of catching infection, and the effectiveness of many control strategies. Our aim is to better predict the spread of pandemic influenza and therefore be able to provide health-care agencies with a better understanding of the types of control that are needed. Using postal surveys and web-based questionnaires we hope to record the contact patterns during a single day of around 100,000 people in the UK (approximately 0.16% of the population). |
| RIOXX Funder/Project Grant: | Project/Grant ID RIOXX Funder Name Funder ID |
| Related URLs: | |
| URI: | https://wrap.warwick.ac.uk/54273/ |
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