Replication data supports a study on how World Health Organization information dissemination affects state reporting of disease outbreaks. The dataset, authored by Zoe Xinchng Ge, was last updated in January 2026 and is associated with research published in The Journal of Politics. It examines reporting behavior changes following the International Health Regulations reform.
Use Cases
- Analyze changes in outbreak reporting frequency by states following the International Health Regulations reform as a natural experiment.
- Investigate correlations between state political alignment (e.g., with the US and its allies) and disease outbreak disclosure patterns.
- Model the relationship between state isolation/integration levels and the prevalence of disease concealment in global health surveillance.
Strengths
- Data is directly linked to a peer-reviewed study in The Journal of Politics, providing academic context.
- The dataset captures a specific policy intervention (International Health Regulations reform) as a natural experiment.
- Topics cover critical areas in global health governance, including monitoring and information dissemination.
Limitations
- Specific data structure, including column names, row counts, and file formats, is unknown, limiting immediate analytical utility.
- The dataset's temporal and geographic coverage is not specified, making it difficult to assess scope and relevance for time-series or spatial analysis.
- As replication data for a specific study, it may be tailored to that analysis and lack broader variables for other research questions.
Provenance
- Source
- The Journal of Politics Dataverse
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null