Matlab Models for Detecting Vaccine Hesitancy from Epidemiological Data

A 471.5 KB ZIP file contains Matlab code implementing a novel SEIR epidemiological model. The model incorporates changes in population behavior influenced by reported case, death, and vaccination data to detect vaccine hesitancy. Author David J. Warne published it on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-26.

Use Cases

• Detecting vaccine hesitancy in a community based on simulated case, death, and vaccination count data.
• Analyzing posterior correlation structures between model parameters to infer the relative influence of factors like safety concerns.
• Simulating various hesitancy scenarios to inform adjustments to public health strategies for improving vaccine uptake.

Strengths

• Includes a novel SEIR model that integrates behavioral changes related to non-pharmaceutical interventions and vaccine uptake.
• The model and analysis are implemented in Matlab, providing executable code for simulation studies.
• The work is published under a permissive CC-BY-4.0 license, allowing for reuse and modification.

Limitations

• The dataset consists of model implementations and simulated data, not real-world observational records.
• Column-level documentation is absent; field semantics must be inferred from the code and description.
• Row count is unknown, which may limit suitability assessment for large-scale empirical analysis.

Provenance

Source

figshare

Collection Method

Matlab implementations of models and analysis developed for a simulation study.

Freshness

Last updated 2026-05-26 17:44:18; freshness should be verified.