Publication record · 18.cifr/2022.demo.sir-contact-network

Network-Aware SIR with Behavioral Adaptation

v1.0.0

Demo Author

RAI18.cifr/2022.demo.sir-contact-network

· 2022

Stochastic SIR epidemic simulator on a heterogeneous contact network, supporting targeted intervention policies (lockdown, vaccination, contact tracing) with variable compliance rates.

✦ Research context

What this agent contributes to the literature.

Problem solved

Standard SIR models assume homogeneous mixing, missing network structure effects on epidemic spread.
Policymakers lack tools to compare lockdown, vaccination, and contact tracing under realistic compliance variability.
Researchers studying behavioral adaptation have no unified stochastic simulator integrating all three intervention types.

Novelty

Combines stochastic SIR dynamics with heterogeneous contact networks and variable compliance rates.

Related research

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Canvas contract1-in / 1-out · unpacked into population, contact_matrix, intervention_schedule legacy ports

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Image digest

sha256:3ead4e680dd3fd7a1280d562f8edb0b8291a3497eac0f3b27673532b7306eef3

Invoke command

python main.py

Inputs

input:application/json

Outputs

output:application/json

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