Title |
A practical method to target individuals for outbreak detection and control
|
---|---|
Published in |
BMC Medicine, February 2013
|
DOI | 10.1186/1741-7015-11-36 |
Pubmed ID | |
Authors |
Gerardo Chowell, Cécile Viboud |
Abstract |
Identification of individuals or subpopulations that contribute the most to disease transmission is key to target surveillance and control efforts. In a recent study in BMC Medicine, Smieszek and Salathé introduced a novel method based on readily available information about spatial proximity in high schools, to help identify individuals at higher risk of infection and those more likely to be infected early in the outbreak. By combining simulation models for influenza transmission with high-resolution data on school contact patterns, the authors showed that their proximity method compares favorably to more sophisticated methods using detailed contact tracing information. The proximity method is simple and promising, but further research is warranted to confront this method against real influenza outbreak data, and to assess the generalizability of the approach to other important transmission units, such as work, households, and transportation systems.See related research article here http://www.biomedcentral.com/1741-7015/11/35. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 1 | 17% |
Switzerland | 1 | 17% |
Bolivia, Plurinational State of | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Cameroon | 1 | 3% |
United States | 1 | 3% |
Taiwan | 1 | 3% |
Vietnam | 1 | 3% |
Unknown | 30 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 32% |
Student > Ph. D. Student | 5 | 15% |
Student > Master | 3 | 9% |
Professor > Associate Professor | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 4 | 12% |
Unknown | 7 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 18% |
Agricultural and Biological Sciences | 6 | 18% |
Mathematics | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Nursing and Health Professions | 2 | 6% |
Other | 8 | 24% |
Unknown | 8 | 24% |