Correlation-Weighted Communicability Curvature as a Structural Driver of Dengue Spread: A Bayesian Spatial Analysis of Recife (2015-2024)

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Autori principali: Santos, Marcílio Ferreira dos, Ricardo, Cleiton de Lima, de Melo, Andreza dos Santos Rodrigues
Natura: Preprint
Pubblicazione: 2025
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author Santos, Marcílio Ferreira dos
Ricardo, Cleiton de Lima
de Melo, Andreza dos Santos Rodrigues
author_facet Santos, Marcílio Ferreira dos
Ricardo, Cleiton de Lima
de Melo, Andreza dos Santos Rodrigues
contents We investigate whether the structural connectivity of urban road networks helps explain dengue incidence in Recife, Brazil (2015--2024). For each neighborhood, we compute the average \emph{communicability curvature}, a graph-theoretic measure capturing the ability of a locality to influence others through multiple network paths. We integrate this metric into Negative Binomial models, fixed-effects regressions, SAR/SAC spatial models, and a hierarchical INLA/BYM2 specification. Across all frameworks, curvature is the strongest and most stable predictor of dengue risk. In the BYM2 model, the structured spatial component collapses ($ϕ\approx 0$), indicating that functional network connectivity explains nearly all spatial dependence typically attributed to adjacency-based CAR terms. The results show that dengue spread in Recife is driven less by geographic contiguity and more by network-mediated structural flows.
format Preprint
id arxiv_https___arxiv_org_abs_2512_00315
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Correlation-Weighted Communicability Curvature as a Structural Driver of Dengue Spread: A Bayesian Spatial Analysis of Recife (2015-2024)
Santos, Marcílio Ferreira dos
Ricardo, Cleiton de Lima
de Melo, Andreza dos Santos Rodrigues
Physics and Society
Probability
Populations and Evolution
Applications
92D30, 05C82, 37N25
We investigate whether the structural connectivity of urban road networks helps explain dengue incidence in Recife, Brazil (2015--2024). For each neighborhood, we compute the average \emph{communicability curvature}, a graph-theoretic measure capturing the ability of a locality to influence others through multiple network paths. We integrate this metric into Negative Binomial models, fixed-effects regressions, SAR/SAC spatial models, and a hierarchical INLA/BYM2 specification. Across all frameworks, curvature is the strongest and most stable predictor of dengue risk. In the BYM2 model, the structured spatial component collapses ($ϕ\approx 0$), indicating that functional network connectivity explains nearly all spatial dependence typically attributed to adjacency-based CAR terms. The results show that dengue spread in Recife is driven less by geographic contiguity and more by network-mediated structural flows.
title Correlation-Weighted Communicability Curvature as a Structural Driver of Dengue Spread: A Bayesian Spatial Analysis of Recife (2015-2024)
topic Physics and Society
Probability
Populations and Evolution
Applications
92D30, 05C82, 37N25
url https://arxiv.org/abs/2512.00315