01 Data Management

Our data research projects focus on data procurement, curation, validation and dissemination.

Why One Health Infectious Disease Data Management?

  • Environmental (physical and social), ecological, animal, and human data are key in estimating the risk that an infectious agent becomes established in an animal or human population. Animal and human mobility data allow better understanding of disease translocation.
  • Multi-host surveillance and health systems data are key to identifying emergence of new agents and in planning to mitigate spread, how to control them once established and the consequences of these control measures.
  • Data also inform mechanistic, mathematical, and statistical models used to understand infection spread which, in turn, generate additional data that have to be understood by knowledge users and stakeholders who then decide on the most promising interventions to block entry of a threat, or control its spread once established.
RELATED ARTICLESExplain
EIDM 
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OMNI – Research
01 Data Management
Credibility of various sources of data for use in models
Inventory of data sources
Probabilistic inference models
Systematic review and repository of available models
Visualization Techniques
02 Risk for Emergence & Spillover
03 Early Warning Systems of Infectious Diseases
04 Intervention and Control
05 Indigenous Peoples Health and Wellbeing
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