Latest out: A systematic review of COVID-19 epidemic models with endogenous human behaviour. What's next? Great collaboration with Elena D'Agnese, @alemelegaro.bsky.social
, Vittoria Offeddu, Alberto d'Onofrio, Chris T. Bauch, and Piero Manfredi. arxiv.org/abs/2606.12465
Revealing Peri-Urban Dislocation through Percolation Analysis arxiv.org/abs/2606.12399
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Unveiling the complexity of post-Roman polity formation in Pannonia using ancient DNA | Science www.science.org/doi/10.1126/...
Adaptive kNN graph model idp.nature.com/authorize?re...
Social determinants of health and epigenetic clocks: a systematic review and meta-analysis of 140 studies idp.nature.com/authorize?re...
Patterns of brain-wide associations reflect socioeconomics | Science www.science.org/doi/10.1126/...
Threshold and quasistationary distribution for the susceptible-infectious-susceptible model on networks link.aps.org/doi/10.1103/...
Reconstructing urban mobility from the built environment idp.nature.com/authorize?re...
Transferable human mobility network reconstruction with neuroGravity idp.nature.com/authorize?re...
Deep learning four decades of human migration idp.nature.com/authorize?re...
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This paper introduces peri urban dislocation as a structural condition that complements existing sprawl metrics by capturing hierarchical misalignments between inner city and peripheral areas. Whereas...
This meta-analysis of 140 studies (~66,000 participants) finds that social inequality is associated with faster biological ageing, with stronger associations observed for newer DNA methylation epigene...
Giving nodes a memory of their susceptibility transition dynamically expands the state space in the susceptible-infectious-susceptible model. This enhanced pair approximation accurately determines epi...
link.aps.org
The transformation of the Roman world [fourth to ninth centuries common era (CE)], culminating in the Western Roman Empire’s fall, marked a fundamental transition in European history. Key questions pe...
www.science.org
This study is on accelerating k-nearest neighbors classification. Here, authors introduce an adaptive graph based kNN framework using HNSW and precomputed voting to shift computation to training time,...
Understanding how people move through cities is essential for public health and urban planning, yet most cities worldwide lack reliable mobility data. A new model reconstructs these movement patterns ...
This study presents neuroGravity—a model that merges physics with machine learning to reconstruct mobility networks in data-scarce regions. It provides crucial tools for equitable urban planning, reve...
A global annual migration-flow dataset (1990–2024) is produced using deep-learning models and diverse sources to estimate movements across 230 countries with improved temporal resolution, coverage and...
idp.nature.com
Previous brain-wide association studies (BWAS) have linked specific environmental and behavioral variables to brain variability. In this work, we mapped 649 variables to children’s brains and compared...
