Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru

Anne N. Shapiro; Meredith B. Brooks; Chuan Huang; Megan B Murray; Laura White; Helen E Jenkins

doi:10.1093/aje/kwag067

March 20, 2026American Journal of Epidemiology

Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru

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Key Points

The central aim is to analyze tuberculosis transmission probabilities using network analysis techniques.
Utilized network techniques to estimate directed pairwise transmission probabilities
Applied consistent network construction methods
Employed clustering methods to analyze transmission dynamics
Identified key pairwise transmission probabilities among individuals
Highlighted network structures that influence disease spread
Demonstrated applicability of methods to analyze other disease outbreaks

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Implication

Network analysis reveals tuberculosis transmission dynamics in Lima, indicating potential intervention strategies.

Abstract

We analyze estimated directed pairwise transmission probabilities with network techniques. The approach is consistent across network construction and clustering methods and can be applied to any disease outbreak to understand its dynamics.

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Shapiro et al. (2026) studied this question.

synapsesocial.com/papers/69c37af0b34aaaeb1a67cf3b https://doi.org/10.1093/aje/kwag067

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Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru

Key Points

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Implication

Abstract

Discussion

Cite This Study

Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru

Key Points

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Implication

Abstract

Discussion

Cite This Study

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