Guiding Ebola patients to suitable health facilities: an SMS-based approach

Article

Trad, Mohamad-Ali, Jurdak, Raja and Rana, Rajib. 2015. "Guiding Ebola patients to suitable health facilities: an SMS-based approach." F1000Research. 4 (43). https://doi.org/10.12688/f1000research.6105.1
Article Title

Guiding Ebola patients to suitable health facilities: an SMS-based approach

ERA Journal ID210459
Article CategoryArticle
AuthorsTrad, Mohamad-Ali (Author), Jurdak, Raja (Author) and Rana, Rajib (Author)
Journal TitleF1000Research
Journal Citation4 (43)
Number of Pages7
Year2015
Place of PublicationUnited Kingdom
ISSN2046-1402
Digital Object Identifier (DOI)https://doi.org/10.12688/f1000research.6105.1
Web Address (URL)http://f1000research.com/articles/4-43/v1
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.

ANZSRC Field of Research 2020461199. Machine learning not elsewhere classified
Byline AffiliationsMonash University
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
Institute for Resilient Regions
Institution of OriginUniversity of Southern Queensland
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