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November 30, 2025Statistical Communications in Infectious DiseasesOpen Access

Developing full and partial population attributable risk and confidence intervals to assess the impact of health behaviors in infectious disease settings

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Authors

HWHandan WandAKAzar KariminiaJMJayajothi Moodley

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Overview

Analysis shows a 96% population impact on trust and booster intention in infectious disease, highlighting multifactorial approaches.

Key Points

  • Multifactorial analysis reveals a significant impact on vaccine uptake and trust in infectious disease settings.
  • Logistic regression methods estimate population attributable risk percentages with confidence intervals addressing correlation.
  • The framework is designed for epidemiology, aiding in the evaluation of health behaviors during disease outbreaks.
  • Methodology emphasizes the necessity of advanced statistical techniques for accurate public health interventions.

Cite This Study

Wand et al. (2025) studied this question.

synapsesocial.com/papers/692b94341d383f2b2a3787a8https://doi.org/10.1515/scid-2025-0002
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