ses for monitoring diseases outbreak: case of onchocerciasis in nigeria

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OGUNDELE Ol u k u n l e Ayo d e j i

370063

Environmental factor based SES for monitoring Diseases Outbreak: Case of Onchocerciasis in Nigeria.

I n s t i t u t e f o r Ge o i n f o r mat i c s ( I f g i )

Un i ve r s i t y o f Mu e n s t e r , Ge r man y.

Ju l y 8, 201 1

M. Sc . Ge o i n f o r mat i c s ( 201 0 – 201 2 )

Mas t er s ‘ Thes i s ofPr o f . Pe b e s ma Ed z e r

Dr . Re mk e Al b e r

Super vi s or s

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Content

Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1

En vi r o n me n t al f ac t o r b as e d

SES f o r Mo n i t o r i n g D i s e as e s

Ou t b r e ak : Cas e o f

On c h o c e r c i as i s i n Ni ge r i a.

Introduction

Study Area and Use Case

Epidemiological Concept and Geospatial Technology

Onchocerciasis Event Services

Model Formalization and Evaluation

Motivation for Rule based (SES) Disease Monitoring

Summary

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Important question What is modelling possibility of important

stages disease outbreaks? Objectives

Examine use of SES as an implementation of rule based model for early warning systems for vector borne disease outbreak

Identify and defines logical event parameters from various environmental factors that can be used for SES filters.

Develop a model for Onchocerciasis disease case in Nigeria

Recommend standard framework for implementing event service for disease outbreak warning system

Introduction: - Importance of environmental factor





http://thebenshi.com/wp-content/uploads/2010/08/cdc_logo.jpg


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Disease Case: River blindness Parasite: Onchocerciasis Vuvulus Vector: Simulium Damnosum (Black fly) Symptoms: Irreversible Blindness,

Skin Diseases

Location: Nigeria Location: 9°4′ 0″ N, 7°29′ 0″ E Population: 154,729,000 State: Plateau

Study Area and Use case: - The Riverbliness!





http://www.who.int/apoc/countries/ng_web.jpg

http://www.cartercenter.org/resources/images/video_riverBlindness.jpg


100,000 blinded by Onchocerciasis

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Epidemiological Concept and Geospatial Technology






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Onchocerciasis Event Service: - Study framework





Rule Modeling

Sensor Data Characteristics: E.g. Water Temperature,Water Velocity and PH

Environmental Factors: E.g. Hydrology Physical

and Chemical Conditions

Service Model

Model Language:Event Pattern Markup Language (EML)

Event Logic: (SES)Filtering Method for Notification

Web Notification Model

WNS Service:Notification on email and SMS

System Input: E.g. Output Events; Messages;

Location Information: E.g. Endemic Region, Rivers, Settlements

Input: Conditions (Parameters)Data CharacteristicsEML Schema

User Requirement: E.g. Location requirement; Stage interest

Rules Documentations and Formalization; Process Flow; Geoprocesing; Complex Event Modeling


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Model Formalization and Evaluation






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Utilize the strength of “rule based models” for monitoring cyclic events over space and time.

Encourage the use of advanced geospatial technology in public health

Encourage the use of environmental phenomenon (GI) collected through sensor observation for warning in epidemiological concept.

Encourage the use of dispersed knowledge from experts in disease monitoring and surveillance to create a near real time warning system.

Motivation for Rule based (SES) Diseases Monitoring:






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Completed tasks and up coming tasks Model Formailzation SES description and registration

Challenges and Redirection Complexity in event modeling diseases lifecycle

Expected output An implementable framework Prospects and challenges documentations Recommendation for implementations

Summary: - Work in Progress






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……I can do all things through Christ, my strength.

Thanks everyoneThanks everyone






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Yes!, More thanks these people

Prof. Pebesma Edzer.Prof. Mafuyai A.Dr. Remke Albert.Dr. Ajayi OlaSimon JirkaThomas EverdingAndreas Johnen