| Title |
Optimizing Network Connectivity for Mobile Health Technologies in sub-Saharan Africa
|
|---|---|
| Published in |
PLOS ONE, September 2012
|
| DOI | 10.1371/journal.pone.0045643 |
| Pubmed ID | |
| Authors |
Mark J. Siedner, Alexander Lankowski, Derrick Musinga, Jonathon Jackson, Conrad Muzoora, Peter W. Hunt, Jeffrey N. Martin, David R. Bangsberg, Jessica E. Haberer |
| Abstract |
Mobile health (mHealth) technologies hold incredible promise to improve healthcare delivery in resource-limited settings. Network reliability across large catchment areas can be a major challenge. We performed an analysis of network failure frequency as part of a study of real-time adherence monitoring in rural Uganda. We hypothesized that the addition of short messaging service (SMS+GPRS) to the standard cellular network modality (GPRS) would reduce network disruptions and improve transmission of data. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 4 | 67% |
| Indonesia | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Ethiopia | 1 | <1% |
| Sweden | 1 | <1% |
| Kenya | 1 | <1% |
| Unknown | 146 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 21% |
| Researcher | 24 | 16% |
| Student > Ph. D. Student | 23 | 15% |
| Student > Postgraduate | 10 | 7% |
| Other | 9 | 6% |
| Other | 36 | 24% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 23% |
| Social Sciences | 20 | 13% |
| Nursing and Health Professions | 17 | 11% |
| Computer Science | 15 | 10% |
| Agricultural and Biological Sciences | 8 | 5% |
| Other | 30 | 20% |
| Unknown | 26 | 17% |