| Title |
Early Impact of a National Multi-Faceted Road Safety Intervention Program in Mexico: Results of a Time-Series Analysis
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0087482 |
| Pubmed ID | |
| Authors |
Aruna Chandran, Ricardo Pérez-Núñez, Abdulgafoor M. Bachani, Martha Híjar, Aarón Salinas-Rodríguez, Adnan A. Hyder |
| Abstract |
In January 2008, a national multifaceted road safety intervention program (IMESEVI) funded by the Bloomberg Philanthropies was launched in Mexico. Two years later in 2010, IMESEVI was refocused as part of a 10-country international consortium demonstration project (IMESEVI/RS10). We evaluate the initial effects of each phase of the road safety intervention project on numbers of RT crashes, injuries and deaths in Mexico and in the two main target cities of Guadalajara-Zapopan and León. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| Cameroon | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 48 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Master | 5 | 10% |
| Other | 4 | 8% |
| Student > Doctoral Student | 4 | 8% |
| Lecturer | 3 | 6% |
| Other | 12 | 24% |
| Unknown | 13 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 18% |
| Social Sciences | 7 | 14% |
| Nursing and Health Professions | 3 | 6% |
| Computer Science | 3 | 6% |
| Unspecified | 2 | 4% |
| Other | 10 | 20% |
| Unknown | 16 | 32% |