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Mendeley readers
| Title |
Rural health centres, communities and malaria case detection in Zambia using mobile telephones: a means to detect potential reservoirs of infection in unstable transmission conditions
|
|---|---|
| Published in |
Malaria Journal, April 2010
|
| DOI | 10.1186/1475-2875-9-96 |
| Pubmed ID | |
| Authors |
Aniset Kamanga, Petros Moono, Gillian Stresman, Sungano Mharakurwa, Clive Shiff |
| Abstract |
Effective malaria control depends on timely acquisition of information on new cases, their location and their frequency so as to deploy supplies, plan interventions or focus attention on specific locations appropriately to intervene and prevent an upsurge in transmission. The process is known as active case detection, but because the information is time sensitive, it is difficult to carry out. In Zambia, the rural health services are operating effectively and for the most part are provided with adequate supplies of rapid diagnostic tests (RDT) as well as effective drugs for the diagnosis and treatment of malaria. The tests are administered to all prior to treatment and appropriate records are kept. Data are obtained in a timely manner and distribution of this information is important for the effective management of malaria control operations. The work reported here involves combining the process of positive diagnoses in rural health centres (passive case detection) to help detect potential outbreaks of malaria and target interventions to foci where parasite reservoirs are likely to occur. |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Switzerland | 1 | <1% |
| Tanzania, United Republic of | 1 | <1% |
| Botswana | 1 | <1% |
| Colombia | 1 | <1% |
| Sweden | 1 | <1% |
| Zambia | 1 | <1% |
| South Africa | 1 | <1% |
| Philippines | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 168 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 44 | 25% |
| Researcher | 35 | 20% |
| Student > Ph. D. Student | 23 | 13% |
| Student > Bachelor | 19 | 11% |
| Student > Doctoral Student | 11 | 6% |
| Other | 30 | 17% |
| Unknown | 17 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 25% |
| Social Sciences | 21 | 12% |
| Agricultural and Biological Sciences | 21 | 12% |
| Nursing and Health Professions | 15 | 8% |
| Computer Science | 13 | 7% |
| Other | 40 | 22% |
| Unknown | 24 | 13% |