| Title |
Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors
|
|---|---|
| Published in |
PLOS ONE, February 2011
|
| DOI | 10.1371/journal.pone.0017144 |
| Pubmed ID | |
| Authors |
Lorenzo Isella, Mariateresa Romano, Alain Barrat, Ciro Cattuto, Vittoria Colizza, Wouter Van den Broeck, Francesco Gesualdo, Elisabetta Pandolfi, Lucilla Ravà, Caterina Rizzo, Alberto Eugenio Tozzi |
| Abstract |
Nosocomial infections place a substantial burden on health care systems and represent one of the major issues in current public health, requiring notable efforts for its prevention. Understanding the dynamics of infection transmission in a hospital setting is essential for tailoring interventions and predicting the spread among individuals. Mathematical models need to be informed with accurate data on contacts among individuals. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 13% |
| United States | 2 | 13% |
| France | 1 | 7% |
| Spain | 1 | 7% |
| Ireland | 1 | 7% |
| Brazil | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 87% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 5 | 3% |
| United States | 4 | 2% |
| France | 3 | 2% |
| United Kingdom | 3 | 2% |
| Germany | 2 | 1% |
| Spain | 2 | 1% |
| Belgium | 1 | <1% |
| Malaysia | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 162 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 23% |
| Researcher | 32 | 17% |
| Student > Master | 23 | 12% |
| Student > Bachelor | 16 | 9% |
| Student > Doctoral Student | 10 | 5% |
| Other | 39 | 21% |
| Unknown | 22 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 19% |
| Computer Science | 27 | 15% |
| Physics and Astronomy | 18 | 10% |
| Agricultural and Biological Sciences | 15 | 8% |
| Engineering | 14 | 8% |
| Other | 47 | 25% |
| Unknown | 29 | 16% |