GRAVID: An indigenous m-health tool for smart and connected communities

Akinseinde, A.S. and Badejo, J.A. and Malgwi, R.L. (2017) GRAVID: An indigenous m-health tool for smart and connected communities. In: IEEE co-sponsored Future Technologies Conference, 6 – 7 December 2016, Hyatt Fisherman's Wharf, San Francisco, CA, USA.

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Abstract

The rapid proliferation and ubiquitous nature of mobile technology within the emerging Internet of Things (IoT) driven smart and connected communities (SCC) paradigm promises a unified framework for tackling community-based health challenges. Maternal and child mortality remains a major public health problem in sub-Saharan Africa, with one of its leading cause being inadequate provision of nutrients (or under-nutrition). This paper presents an indigenous mobile health (or mHealth) solution, named GRAVID, to address the gap of unavailability of context-based information on nutrition, medical, drug and substance use appropriate to meet identified needs of gravid women and subsequently their babies (for 5 years); within the African context. GRAVID also provides a monitoring tool for healthcare givers to track the progress of the gravid woman they oversee. The project was implemented with Android software development kit (SDK) for cost-effective development and widespread community coverage. It is intended that this solution will also provide a source of collecting data to update necessary information as well as addressing related community-based issues to reduce the maternal and child mortality rates. © 2016 IEEE.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	cited By 0; Conference of 2016 Future Technologies Conference, FTC 2016 ; Conference Date: 6 December 2016 Through 7 December 2016; Conference Code:126003
Uncontrolled Keywords:	Cost effectiveness; Health care; Internet of things; mHealth; Nutrition; Software design, Android softwares; Child mortality; Context-based information; Internet of Things (IOT); Mobile Technology; Monitoring tools; Sub-saharan africa; Unified framework, Health
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	UNSPECIFIED
Depositing User:	Dr. Joke Badejo
Date Deposited:	17 Sep 2018 10:14
Last Modified:	17 Sep 2018 10:14
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/11670

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