1 / 11

Controlled vocabularies & Ontologies - DSS -

Controlled vocabularies & Ontologies - DSS -. MDSS. Malaria Decision Support System. Integration of a number of data sets that will allow for informed choices, decisions and policy. Malaria surveillance in southern Africa. NOW – Open Souce -integrated. Early 2000 – SQL - integrated.

christen-burton
Download Presentation

Controlled vocabularies & Ontologies - DSS -

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Controlled vocabularies & Ontologies - DSS -

  2. MDSS Malaria Decision Support System Integration of a number of data sets that will allow for informed choices, decisions and policy.

  3. Malaria surveillance in southern Africa NOW – Open Souce -integrated Early 2000 – SQL - integrated Mid 90s Ms. Access - fragmented Early 90s Dbase + EpiInfo - fragmented 50s Eradication - Paper

  4. What it is: PostgreSQL, is a highly scalable, SQL compliant, open source object-relational database management system. Why we decided on using it? Free Open source Easily spatially enabled Software • What it is: • PHP is a widely-used general-purpose scripting language that is especially suited for Web development and can be embedded into HTML. • Why we decided on using it? • Free • Open source • What it is: • Is an extension to the PostgreSQL object-relational database system. • Allows GIS (Geographic Information System) objects to be stored in the database. • Why we decided on using it? • Free • Open source

  5. CATEGORY TYPE SYSTEM MODULE Passive surveillance Health Information System Symptomology, Onset date, Diagnostic tests, Serotype, Outcome etc CLINICAL Dengue virus in vector populations Active Surveillance DENGUE VIRUS SURVEILLANCE malaria patient / case data Dengue virus in human population Fever of Unknown Origin DISEASE SURVEILLANCE (passive or active) Species identification and infectivity Dengue cases Entomology Surveillance System Insecticide Resistance Insecticide resistance (larvae, adults) VECTOR SURVEILLANCE mosquito population data Vector presence & abundance (larval, pupal, adult indices) Indoor Residual Spraying: Intervention Monitoring System Immatures: Mechanical source reduction VECTOR CONTROL DENGUE DECISION SUPPORT SYSTEM Insecticide Treated Bed-nets Immatures: Biological control malaria control interventions Immatures: Chemical control MALARIA DECISION SUPPORT SYSTEM Other interventions Adults: Chemical spray control Adults: Chemical ITM-based control Parasitemia & Anaemia Indicator Survey Knowledge, Attitude and Practice among population EDUCATION malaria prevalence surveys Household Indicators - Geographical boundaries - Location of hospitals, health clinics, schools, cemeteries etc - Socioeconomic characteristics - Environmental factors (climate, elevation, vegetation) Specific spatial data SPATIAL BACKBONE Spatial Data GIS data Backdrop spatial data

  6. Complexity MIRO GAZETTEER Terms Definitions Relationships ONTOLOGY CV entomopathogenic nematodes growth regulator MALARIA DENGUE IDO • circular net • cold fogs • thermal fog romanomermis culicivorax • self supporting net space spraying • wedge shaped net • pathogens CDC light trap • romanomermis iyengari • residual indoor spraying Chado • long lasting nets protista • rectangular net outdoor

  7. Process X X Vector surveillance ontology Vector management ontology . Process Decision making Interpret Use Disseminate Analyze data Annotate data Implementation Incorporate into database schema Formalize ontology Separate CV terms Add relationships Development Add definitions Indentify terms Conceptualize

  8. CV web assistant Planning and constructing an ontology is a process that requires participation of and consensus among the expert community from the start! • Participants will be able to: • propose new terms • 2) propose modifications to existing terms and/or their definitions • comment on structures and undefined relationships. • No restrictions will apply to participation and all contributions will be validated. DSS MIRO, available for downloading at:http://obo.cvs.sourceforge.net/*checkout*/obo/obo/ontology/phenotype/mosquito_insecticide_resistance.obo

  9. IR Base Insecticide Resistance Entomology Database Insecticide Resistance Species Density Sporozoite Rate MDSS Malaria Control Programme Data sharing Linkage of systems IR base a global database of insecticide resistance. Insecticide resistant components feeds IR Base. Entomology database components. Operational.

  10. Global databases MERG WARN MARA Linkage of systems ITEGRATION OF DATA Malaria Atlas IR Base MDSS Malaria Control Programme

  11. Challenges & Opportunities • Provide opportunity to contribute • Initiate collaborative efforts • Provide standardization-annotation • Assist software development process • Provide better quality data • Provide improved comparison of data • Support contributions to global warehouses + interoperability • The use supports better decisions • Bigger picture – indirectly save lives • Time • Financial resources • Priorities/commitment • Advocacy • Community Participation & Contributions • Roles & Responsibilities • Ownership • Sustainability

More Related