| Autor: |
Craig Davies, Rebecca Graffy, Mbavhalelo Shandukani, Ednah Baloyi, Laura Gast, Gerdalize Kok, Frans Mbokazi, Alpheus Zita, Mandla Zwane, Ray Magagula, Aaron Mabuza, Wayne Ramkrishna, Natashia Morris, Jacqueline Porteous, George Shirreff, Lucille Blumberg, Eunice Misiani, Devanand Moonasar |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Malaria Journal, Vol 18, Iss 1, Pp 1-9 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1475-2875 |
| DOI: |
10.1186/s12936-019-2683-4 |
| Popis: |
Abstract Background As surveillance is a key strategy for malaria elimination in South Africa, ensuring strong surveillance systems is a National Department of Health priority. Historically, real time tracking of case trends and reporting within 24 h—a requirement in South Africa’s National surveillance guidelines—has not been possible. To enhance surveillance and response efficiency, a mobile surveillance tool, MalariaConnect, was developed using Unstructured Supplementary Service Data (USSD) technology. It was rolled out in health facilities in malaria endemic areas of South Africa to provide 24-h reporting of malaria cases. Methods To evaluate the efficiency of the mobile tool to detect an outbreak data were extracted from the paper based and MalariaConnect reporting systems in Bushbuckridge from 1 January to 18 June 2017. These data were subject to time series analyses to determine if MalariaConnect provided sufficient data reliably to detect increasing case trends reported through the paper system. The Chi squared test was used to determine goodness of fit between the following indicator data generated using MalariaConnect and paper reporting systems: timeliness, completeness, and precision. Results MalariaConnect adequately tracked case trends reported through the paper system. Timeliness of reporting increased significantly using MalariaConnect with 0.63 days to notification compared to 5.65 days using the paper-system (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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