| Title |
Estimating Potential Infection Transmission Routes in Hospital Wards Using Wearable Proximity Sensors
|
|---|---|
| Published in |
PLOS ONE, September 2013
|
| DOI | 10.1371/journal.pone.0073970 |
| Pubmed ID | |
| Authors |
Philippe Vanhems, Alain Barrat, Ciro Cattuto, Jean-François Pinton, Nagham Khanafer, Corinne Régis, Byeul-a Kim, Brigitte Comte, Nicolas Voirin |
| Abstract |
Contacts between patients, patients and health care workers (HCWs) and among HCWs represent one of the important routes of transmission of hospital-acquired infections (HAI). A detailed description and quantification of contacts in hospitals provides key information for HAIs epidemiology and for the design and validation of control measures. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 25% |
| United States | 2 | 25% |
| Canada | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| France | 2 | 1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 163 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 24% |
| Researcher | 31 | 18% |
| Student > Master | 18 | 10% |
| Student > Doctoral Student | 11 | 6% |
| Professor > Associate Professor | 8 | 5% |
| Other | 35 | 20% |
| Unknown | 27 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 15% |
| Physics and Astronomy | 18 | 10% |
| Agricultural and Biological Sciences | 17 | 10% |
| Medicine and Dentistry | 16 | 9% |
| Social Sciences | 13 | 8% |
| Other | 46 | 27% |
| Unknown | 37 | 22% |