Consortia for Advocacy in Rural Health Enhancement
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Programme · Disaster aid

Epidemics, pandemics and emergencies

A data analysis dashboard for disaster aid management, and a supply chain driven by disease data rather than by guesswork.

The cycle

Detection to supply, and back again

Distress aid and logisticsDetectCase counts rise above expectedAssessWhere, who, how fastMobiliseVolunteers, staff, instrumentsSupplyMedicines and consumablesReportTo authorities and the publicEvery cycle feeds the next: the surveillance record is the input to the response.Supply Chain Management SystemDemand derived from disease data, not from guesswork
Distress aid and logistics, as a repeating cycle
Why surveillance and logistics belong together

One argument

Medical logistics fails in an emergency for a predictable reason: demand is estimated from population size rather than derived from disease data, so supplies arrive in the wrong quantity in the wrong place. If the surveillance record and the supply chain are the same system, the estimate improves by an order of magnitude.

This is why the Integrated Interoperable Distress Aid and Logistics Environment sits inside the platform rather than beside it.

Preparedness, not just response

What we ask of partners in advance

  1. Register the population before the emergency

    A population with existing health profiles can be triaged in an outbreak. One without cannot.

  2. Agree the escalation path in advance

    Who is called, in what order, with what authority.

  3. Rehearse

    A response procedure that has never been run is a document, not a capability.

Prepare before you need it.

District authorities, large employers and school networks.