Public Health Gateway In Kenya Dennis Muoki Egerton Uni Kenya muokid3gmailcom Charles Njaramba Egerton Uni Kenya njarambacharles01gmailcom eResearch Summer ID: 768907
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Public Health Gateway In Kenya Dennis Muoki – Egerton Uni - Kenya – muokid3@gmail.com Charles Njaramba – Egerton Uni - Kenya (njarambacharles01@gmail.com ) e-Research Summer Hackfest – Catania (Italy)
Outline 2BackgroundRoad use and demographicsPublic awareness vs empirical evidence Case Study - Nakuru Data model Implementation Strategy Interfaces Scientific Gateways Timelines Summary and conclusions
Background to the problem 3In 2002, Kenyan Government removed tax on motorbikesMany young adults have since bought the toolsFor personal use F or use to run a taxi business There is greater ownership of motorbikes n Kenya than that of cars and bicycles combined
Issues arising from exponential motorbike ownership 4The number of roads never increased at the same rateCompetition for almost the same spaceTraining on safety I t is well known that many riders have little formal training on safety on the road Accidents Even in regions without cars, the phenomenon of motorbike accidents is very much present.
Case study - Nakuru Town and Surroundings5Consider the Nakuru Provincial General HospitalA surgical ward - with a bed capacity of 80At any given time:90% of those admitted for surgery are men. A ll of them are victims of motorbike accidents 50% of them are aged between 20 and 35 years 30% of them succumb to their injuries 60% live the rest of their lives depending on care from a relative. source - 2 doctors who work at the surgical ward
Computing and data model 6Currently, there are two sources of records regarding accidentsPoliceDoctors What the police record (in Nakuru) D river details ( dob , license validity, whether insured or not) Location of accident (road name, landmark, time of accident) Vehicle details (plate number, make, model, number of passengers) What the hospital records P atient details (name, gender, dob , county and location of birth, whether injury is severe, fatal, minor).
Data model -1 7Location of the accidentLocal name by which knownGPS coordinatesCounty/sub-county name About the Accident Type (head-on, hit and run, hit from behind) N umber of vehicles involved N umber of passengers involved D ate and time of accident Fi rst point of contact (front, back, offside, nearside) About drivers D ob , license number, validity, insurer name and number N ature of injuries D amage to vehicle Vehicle details P late number, make, model N umber of passengers E xtent of damage
Data model -2 8Characteristics of the roadRoad Layout (single lane two way, dual carriage, junction)Weather (visible, dark, foggy, dry, rainy)Surface (rough, tarmac, aggregate) Also about maneuvers, whether vehicle was: P arked or reversing S lowing or stopping Moving off or waiting to go ahead but held up W aiting to turn left, right, changing lane Overtaking moving or stationary vehicle
Implementation strategy 9Interfaces:Design a web interface for public health portal for clinicians to publish educational informationSet Up infrastructure for Cloud and Grid ComputingDesign a mobile interface for : P olice officers to record accidents P ublic (motorbike riders and passengers) to install G ain insights into black spots on the fly G ain insights into road safety practices g ain insights into fatalities from motorbike accidents Science Gateways : Use future gateway for data storage and management. It will be used as the core gateway for the system to interact with the server . Use gLibrary to retrieve stored data based on user requests
Timelines Before Hackfest ends: Create an underlying RESTful API for the system using gLibrary and FutureGateway Design MySQL DB structure and link it to the two gateways Two Months after the Hackfest : Develop both web and mobile interfaces Implement the interfaces using the open science gateways above Three months after Hackfest : Test and fix bugs for one month after development Launch system alpha version officially on the fourth month
Summary and conclusions 11Motorbike related accidents in Kenya cause more deaths than those involving bicycles and carsCurrently, awareness is extremely low among public and ridersDoctors know the extent of fatalities, but riders and general public do not. There seems to be well known black spots, but these are not highlighted in anyway Doctors seem willing to participate in public education, but are too busy to get out of the hospital wards A dissemination tool will enable: D octors to provide useful information to the public P ublic to access the information via mobile devices
Thank you! sci-gaia.euinfo@sci-gaia.eu