<i>HHBayes</i> : A Flexible Bayesian Framework for Simulating and Analyzing Household Transmission Dynamics

addresses a critical gap in infectious disease epidemiology by providing researchers with accessible tools for both prospective study design and retrospective data analysis. The flexibility of the package in handling complex household structures, time-varying infectiousness, and intervention effects makes it valuable for studying diverse pathogens.

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Publication Details

Journal
medRxiv
Published
2026-04-03
DOI
https://doi.org/10.64898/2026.04.01.26349903
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
25.06

Funders

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article

HHBayes : A Flexible Bayesian Framework for Simulating and Analyzing Household Transmission Dynamics

Bhramar Mukherjee, Yiren Hou, Daniel M. Weinberger, Ke Li et al.
medRxiv
COVID-19 epidemiological studies
25.06
article

HHBayes : A Flexible Bayesian Framework for Simulating and Analyzing Household Transmission Dynamics

Bhramar Mukherjee, Yiren Hou, Daniel M. Weinberger, Ke Li, Virginia E. Pitzer
article en

Abstract

addresses a critical gap in infectious disease epidemiology by providing researchers with accessible tools for both prospective study design and retrospective data analysis. The flexibility of the package in handling complex household structures, time-varying infectiousness, and intervention effects makes it valuable for studying diverse pathogens.

medRxiv
Yale University (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 0%
COVID-19 epidemiological studies
25.06
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