Trad, Mohamad-Ali and Jurdak, Raja and Rana, Rajib (2015) Guiding Ebola patients to suitable health facilities: an SMS-based approach. F1000 Research, 4 (43).
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Text (Published Version)
EbolaFinal.pdf Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
Access to appropriate health services is a fundamental problem in developing countries, where patients do not have access to information and to the nearest health service facility. We propose building a recommendation system based
on simple SMS text messaging to help Ebola patients readily find the closest health service with available and appropriate resources. The system will map people’s reported symptoms to likely Ebola case definitions and suitable health service locations. In addition to providing a valuable individual service to people with curable diseases, the proposed system will also predict population-level disease spread risk for infectious diseases using crowd-sourced symptoms from the population. Health workers will be able to better plan and anticipate responses to the current Ebola outbreak in West Africa. Patients will have
improved access to appropriate health care. This system could also be applied in other resource poor or rich settings.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Published version made available under the Creative Commons: Attribution 3.0 License. |
| Faculty/School / Institute/Centre: | Current - Institute for Resilient Regions |
| Faculty/School / Institute/Centre: | Current - Institute for Resilient Regions |
| Date Deposited: | 28 Apr 2016 04:47 |
| Last Modified: | 08 Jun 2021 00:26 |
| Fields of Research (2008): | 08 Information and Computing Sciences > 0805 Distributed Computing > 080504 Ubiquitous Computing |
| Fields of Research (2020): | 46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461199 Machine learning not elsewhere classified |
| Identification Number or DOI: | doi:10.12688/f1000research.6105.1 |
| URI: | http://eprints.usq.edu.au/id/eprint/28778 |
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