Computational modeling of infectious diseases: insights from network-based simulations on measles.

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Title: Computational modeling of infectious diseases: insights from network-based simulations on measles.
Authors: Branda F; Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, via Álvaro del Portillo, 21, Rome, RM, 00128, Italy. f.branda@unicampus.it., Veltri P; DIMES, University of Calabria, Via P. Bucci, Rende, CS, 87036, Italy., Chiodo F; Department of Surgical and Medical Sciences, Magna Graecia University of Catanzaro, Viale Europa, Catanzaro, CZ, 88100, Italy., Ciccozzi M; Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, via Álvaro del Portillo, 21, Rome, RM, 00128, Italy., Scarpa F; Department of Biomedical Sciences, University of Sassari, Viale San Pietro, 43, Sassari, SS, 07100, Italy., Guzzi PH; Department of Surgical and Medical Sciences, Magna Graecia University of Catanzaro, Viale Europa, Catanzaro, CZ, 88100, Italy. hguzzi@unicz.it.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Jul 01; Vol. 25 (1), pp. 238. Date of Electronic Publication: 2025 Jul 01.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1472-6947
DOI:10.1186/s12911-025-03063-y