SES for Monitoring Diseases Outbreak: case of Onchocerciasis in Nigeria
-
Upload
zinmanship -
Category
Technology
-
view
577 -
download
3
Transcript of SES for Monitoring Diseases Outbreak: case of Onchocerciasis in Nigeria
1
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
2
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
3
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
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.
http://thebenshi.com/wp-content/uploads/2010/08/cdc_logo.jpg
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
4
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!
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.
http://www.who.int/apoc/countries/ng_web.jpg
http://www.cartercenter.org/resources/images/video_riverBlindness.jpg
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
100,000 blinded by Onchocerciasis
5
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.
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
6
Epidemiological Concept and Geospatial Technology
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.
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
7
Onchocerciasis Event Service: - Study framework
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.
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
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
8
Model Formalization and Evaluation
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.
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
9
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:
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.
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
1 0
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
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.
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
1 1
……I can do all things through Christ, my strength.
Thanks everyoneThanks everyone
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.
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
1 2
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.
Ogu n d e l e Ol u k u n l e A. | Dat e : 04. 08. 1 1
Yes!, More thanks these people
Prof. Pebesma Edzer.Prof. Mafuyai A.Dr. Remke Albert.Dr. Ajayi OlaSimon JirkaThomas EverdingAndreas Johnen