Pith. sign in

REVIEW

Leveraging Opinions and Vaccination to Eradicate Networked Epidemics

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2304.12516 v1 pith:5ROTLEO4 submitted 2023-04-25 physics.soc-ph cs.SYeess.SY

classification physics.soc-phcs.SYeess.SY
keywords opinionsvaccinationcriteriondiseaseepidemiceradicationmodelnetworked
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
abstract

We introduce a multi-layer networked compartmental $SIRS-V_o$ model that captures opinion dynamics, disease spread, risk perception, and self-interest vaccine-uptake behavior in an epidemic process. We characterize the target vaccination criterion of the proposed model and conditions that guarantee the criterion is obtainable by influencing opinions on disease prevalence. We leverage this result to design an eradication strategy that leverages opinions and vaccination. Through numerical simulations, we show that the proposed eradication strategy is able to stabilize the epidemic process around a healthy state equilibrium, and the outbreak rebounds after the control signal is relaxed.

Discussion (0). Continue with ORCID to comment.

Pith tools