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New challenges and requirements for the management of environmental data require improved data interoperability, data integration and data sharing.
Dynamic modelling is an alternative approach that could be adopted to address calibration, but would require improved data collection and informatics infrastructure.
It will identify key areas that require improved data collection tools to maximise the usefulness of this surveillance approach and will provide a template for vaccine evaluations using ecological methods in the UK.
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This type of inference would require improved (in terms of completeness and error rate) interaction data for several related networks.
Improving food attribution from outbreaks will require improving both the quality and quantity of data.
We also hope to identify the key areas that require extended and improved data collection tools to maximise the usefulness of this surveillance approach.
More research into the causes of declining intra-African migration intensity is required, hopefully with improved data.
This indicates that while there are data available to derive functions, additional research is required to improve data quality and quantity.
In these cases, following a specific droplet over time becomes difficult (especially when large numbers of repeats are required to improve data quality).
Improved data visualization tools are required to efficiently incorporate these vast amounts of data into an intuitive, integrated and knowledge-based environment.
Therefore, improved data recording of biotic and clinical data are urgently required for developing accurate models of risk assessment within an eco-health perspective.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com