Download - PRESENTATION: Observatories in Health
Pr. Thérèse Libourel
(Thanks to Mireille Fargette and Roger Frutos)
Observatories
in Health
Between health, spaces, time and
data and knowledge processing
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
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Aims
Experimental case
Background: pathosystem and environment
Scientific Observatory: General model
Scientific Observatory: structure and life cycle
Conclusion
Outline
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
3
Aims
Faced with social issues, how to observe, understand, model the dynamics of diseases (transmitted by vectors) in a perspective of decision support?
Our goal is to set up a think tank around the concept of scientific observatory in support of health
management.
Take advantage of the synergy between scientists from different fields in order to take into account the added value of scientific expertise to clarify the definition and the fundamental constitutive principles of such systems.
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
4
Aims
Evolution of knowledge and technologies
Several initiatives
WHO Mondial Health Observatory
Health statistics and information systems
Many countries, ex France:
Regional Health Observatory
One Health initiative
Atlas of health and climate
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
5
Aims
Experimental case
Background: pathosystem and environment
Scientific Observatory: General model
Scientific Observatory: structure and life cycle
Conclusion
Outline
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
6
Experimental Case
Chikungunya Virus (CHIKV), a mosquito-borne pathogen from the alphavirus genus transmitted by Aedes mosquitoes causes acute infection in human. Modeling the dynamic of this disease in Asia, where the CHIKV is actively propagating, is essential to develop prevention strategies for regions with high risk of propagation, including Europe where the vector A. albopictus is now well established.
Montpellier, France - UMR Espace Dev ; Laboratoire de physique industrielle et traitement de
l’information ; Intelligence in Life – R&D Clinique SARL ; Centre d’étude des Pathogènes et Biotechnologies pour la Santé, CPBS ; Institut des Sciences de l’Evolution de Montpellier – ISEM
; Intertryp, CIRAD Indonesia - Center for Tropical Medicine, Faculty of Medicine, Gadjah Mada University,
Yogyakarta ;Su koharjo Regency Health Center, Center of Java, Sukoharjo.
UML diagrams 1) Contemplative description of the system 2) Transition to dynamic modelisation
Modelling 1) Agent oriented programming (Netlogo) 2) Mathematical modelling of epidemic by compartiments
Geographic information system (GIS) integration
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Methodology
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Experimental Case
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Non infected
infected
immunised
Sensible Exposed
Infected Resistant
Exposed
Infected
Human
Chimera
Human/Virus
Mosquito
Chimera Mosquito/
Virus
Chimera
Mosquito/Virus
Chimera Human/
Virus
mouvements
mouvements
mouvements
mouvements
Development, mouvements, reproduction
Development,
mouvements, reproduction
Into host
Sensible
Class diagram of the Chikungunya patho-system
Clinical Analyses (biology)
Geography / environment / anthropic actions / ecology
Sampling
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Experimental Case
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Interactions
Chimers
- State diagram
- Diagram of interactions
- Sequence diagram
- Mathematical model
Implementation
in a simulation
platform
(Netlogo)
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Experimental Case
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Non infected
infected
immunisé
Susceptible Exposed
Infected Resistant
Susceptible
Exposed
Infected
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Experimental Case
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
V
H
Nh, human population. Nh = Sh + Eh + Ih +Rh. Sh (Sensible), Eh (Exposed), Ih (Infected), Rh (Resistant).
B*βmh: rate of infective mosquito bites. C*βhm: rate of mosquito contamination, B & C: Average daily biting.
Mosquito population: Lm (larvae), Sm (Sensible), Em (exposed), Im (infected).
K: biotic capacity of the environment defines using Breteau index, BI=(Nb of positive containers/Nb of inspected houses )*10.
Dumont Y, et al. (2008) Math Biosci. 213(1):80-91.
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Experimental case
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Health System
Seaports and
factories
Vector control
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Aims
Experimental case
Background: pathosystem and environment
Scientific Observatory: General model
Scientific Observatory: structure and life cycle
Conclusion
Outline
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
13
Pathosystem and environment
Seminar 2015 Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
14
Pathosystem and environment
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Bourdillon (2005)
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Aims
Experimental case
Background: pathosystem and environment
Scientific Observatory: General model
Scientific Observatory: structure and life cycle
Conclusion
Outline
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
16
General Model
A health observatory aims to observe (monitor, analyze,
understand) the dynamics of the diseases and their impact on an portion of representative space of a territorial entity. It is a place
of production, exchange, and sharing of information and
knowledge that is in the long term.
It must ensure a minimum diagnostic functions to assess the
implemented actions. It should be also associated with
prognostic features, to provide all the capabilities to alert and
guide short and medium term managers in their decision making
and their interventions.
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
17
General Model
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Aims
Experimental case
Background: pathosystem and environment
Scientific Observatory: General model
Scientific Observatory: structure and life cycle
Conclusion
Outilne
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Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
19
Scientific Observatory: structure
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
20
Scientific Observatory: Life cycle
Theorical**Model
Observa1on*model
Acquisi1on
Analysis*
Analysis*
Tracking*Model* Acquisi1on*
Sequence'research Sequence'Tracking''
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
21
Technical Aspects
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
22
Challenges
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Acquisition (new sensors)
Interoperability
Big and Open Data.
Experts knowledge
Disease, Place, Environment
Ontologies
Place, Environment Data
Clinical Data
Health
Knowledge base
New Sensors
Outline
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Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Aims
Experimental case
Background: pathosystem and environment
Scientific Observatory: General model
Scientific Observatory: structure and life cycle
Conclusion
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Conclusion
The proposal emphasizes the health question
behind the creation of the observatory.
Scientific observatories are a key element for health
challenges.
The scientific network based on several fields of
science is a "real brain” constantly thinking.
Role of institutional and decisional systems ?
The sustainability of the observatory is related to this
question ?
Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
25
Emmanuel Cornillot Patrice Ravel Guilhem Kister
Thérèse Libourel Aurélie Merlin Mireille Fargette
Laurent Gavotte Catherine Moulia Roger Frutos Yannick Baldie
Christian Devaux Laurence Briant Nathalie Chazal
Tri Baskoro Tunggul Satoto Erna Andayani
Susi Damayanti People from RT03 and RT04 (Sukoharjo) and from RT42 (Yogyakarta)
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Tri-National Scientific Workshop
Climate change: Observation, Analysis and Health
Indonesia – Thailand – France
Terima kasih
Merci beaucoup