Review of the data model

Following the workshop review, the users specified a number of fields they would like to see as part of the data model. This task requires a investigation into our current data model to verify whether these fields are present, or whether they will be included as part of the models that will be added in future. If requested fields are discovered to be missing, note them down. This list will be brought to Marianne so we can discuss whether they are necessary. If they are necessary, should they be filterable fields?

o Genomics - Unsure of what this includes so raise with Marianne regardless
o Adding behavioural data such as indoor biting and LLIN use
o Information on trap types
o Bionomics (resting, biting patterns, biting preference, resting behaviour, larval type)
o Abundance Information
o Infection and parity rates
o Mosquito ecology data
o Deployment of interventions and suggested deployments
o Vector Populations (Human, Animal behaviour/movement)
o Resistance (location, intensity and drivers etc.)
o Environmental factors
o Forecast spread (environmental, intervention changes)
o Forecast vector spread
o Risk Levels
o Indoor resting, IRS
o Expanded Programme Immunisations, EPI
o Entomological Inoculation Rate, EIR
o Further site information – Site status: will the site be switching to a different method of prevention? When and why?

Start by reviewing the current data model and comparing it with each requested field in the issue, including genomics, behavioural data, trap types, bionomics, environmental factors and intervention forecasts. Record which fields are absent or planned for future models, and note whether each missing field may need filtering. Done means producing a clear list for discussion with Marianne.