What is the primary focus of the Epidemiologist Analyst skill?

It focuses on analyzing health events through the lens of population health, using surveillance data, outbreak investigation methods, and mathematical models to understand disease spread and risk factors.

Can this skill help with COVID-19 or similar infectious disease modeling?

Yes, it applies compartmental models like SIR and SEIR to estimate reproduction numbers (R₀) and forecast the trajectories of infectious disease outbreaks.

How does it assist in public health intervention planning?

It evaluates the effectiveness of strategies like vaccination, screening, and social distancing by assessing their impact on transmission dynamics and population health outcomes.

Does it support causal analysis in health data?

Yes, it uses the Bradford Hill criteria to evaluate whether observed associations between exposures and health outcomes are likely to be causal.

Epidemiologist Analyst

Name: Epidemiologist Analyst
Author: rysweet

byrysweet

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Data Science & ML

Analyzes disease patterns, health events, and transmission dynamics using established epidemiological frameworks and mathematical modeling.

About

The Epidemiologist Analyst skill equips Claude with a specialized disciplinary lens for public health, enabling rigorous analysis of disease distribution, determinants, and control strategies. It leverages core principles such as the CDC's 10-step outbreak investigation process, Bradford Hill criteria for causal inference, and compartmental mathematical modeling (SIR/SEIR). This skill is designed for professionals and researchers working on health policy evaluation, risk assessment, and intervention planning, providing a systematic approach to understanding population-level health data and mitigating disease spread.

Key Features

Causal inference assessment using Bradford Hill criteria
16 GitHub stars
Outbreak investigation and epidemic curve analysis
Mathematical disease modeling including SIR, SEIR, and R₀ estimation
Evaluation of public health interventions and vaccination programs
Surveillance system design and health equity assessment

Use Cases

Investigating infectious disease clusters and identifying transmission modes
Designing early warning surveillance systems for emerging health threats
Modeling the population-level impact of new health policies or interventions

About

Key Features

Causal inference assessment using Bradford Hill criteria
16 GitHub stars
Outbreak investigation and epidemic curve analysis
Mathematical disease modeling including SIR, SEIR, and R₀ estimation
Evaluation of public health interventions and vaccination programs
Surveillance system design and health equity assessment

Use Cases

Investigating infectious disease clusters and identifying transmission modes
Designing early warning surveillance systems for emerging health threats
Modeling the population-level impact of new health policies or interventions