0000000000041386

AUTHOR

Massimiliano Zanin

0000-0002-5839-0393

showing 4 related works from this author

Applying complexity science to air traffic management

2015

Versión aceptada obtenida del archivo digital en línea WestminsterResearch de la Universidad de Westminster. Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of complexity science are introduced and defined, with a specific focus on the application to air traffic management. An overview of complex network theory is presented, with examples of its corresponding metrics and multiple scales. Complexity science is starting to make important contributions to performance assessment and system design: selected, applied air traffic management case studies are explored. The important contexts of…

EngineeringEmergent behaviourStrategy and ManagementComplex systemL-SpaceTransportationManagement Monitoring Policy and LawEmergent behaviorPerformance assessmentPerformance measurementResilience (network)Transportation NetworksResilienceManagement sciencebusiness.industryAir traffic managementComplex network theoryComplex networkAir traffic controlSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Complexity scienceUrban Rail TransitSystems designSocio-ecological systembusinessLaw
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An Early Stage Researcher's Primer on Systems Medicine Terminology

2021

Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. Thes…

computer_scienceGraphs and NetworksmedicineGlossary[SDV]Life Sciences [q-bio]Comprehensive ReviewTerminology03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingMachine learningGeneticsmultiscale data science[INFO]Computer Science [cs]systems medicinemulti-scale modellingMulti-scale modellingComputingMilieux_MISCELLANEOUS030304 developmental biologyInterdisciplinarityMulti-scale data science0303 health scienceshealthGeneral MedicineHuman bodySciences bio-médicales et agricolesData science[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multiscale modeling3. Good healthTerm (time)Systems medicinemachine learningmulti-scale data scienceSystems medicineMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being030217 neurology & neurosurgeryNetwork and Systems Medicine
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Mechanistic Modeling and Multiscale Applications for Precision Medicine: Theory and Practice

2020

Drug research, therapy development, and other areas of pharmacology and medicine can benefit from simula- tions and optimization of mathematical models that contain a mathematical description of interactions between systems elements at the cellular, tissue, organ, body, and population level. This approach is the foundation of systems medicine and precision medicine. Here, simulated experiments are performed with computers (in silico) first, and they are then replicated through lab experiments (in vivo or in vitro) or clinical studies. In turn, these experiments and studies can be used to validate or improve the models. This iterative loop of dry and wet lab work is successful when biomedica…

medicinemultiscaleMathematical modelManagement scienceComputer sciencefungifood and beveragesmodelingGeneral MedicinePrecision medicineMultiscale modelingNetwork and Systems Medicine
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Trends in Incidence and Transmission Patterns of COVID-19 in Valencia, Spain

2021

Importance Limited information on the transmission and dynamics of SARS-CoV-2 at the city scale is available. Objective To describe the local spread of SARS-CoV-2 in Valencia, Spain. Design, Setting, and Participants This single-center epidemiological cohort study of patients with SARS-CoV-2 was performed at University General Hospital in Valencia (population in the hospital catchment area, 364 000), a tertiary hospital. The study included all consecutive patients with COVID-19 isolated at home from the start of the COVID-19 pandemic on February 19 until August 31, 2020. Exposures Cases of SARS-CoV-2 infection confirmed by the presence of IgM antibodies or a positive polymerase chain reacti…

AdultMalemedicine.medical_specialtyPopulation01 natural sciencesDisease Outbreakslaw.inventionCohort Studies010104 statistics & probability03 medical and health sciences0302 clinical medicineCatchment Area HealthResidence CharacteristicsRisk FactorslawEpidemiologyDisease Transmission InfectiousmedicineHumans030212 general & internal medicine0101 mathematicseducationOriginal InvestigationAgedAged 80 and overeducation.field_of_studyGeographySARS-CoV-2ResearchIncidenceIncidence (epidemiology)COVID-19OutbreakGeneral MedicineMiddle Aged3. Good healthOnline OnlyTransmission (mechanics)GeographySpainRelative riskHousehold incomeFemalePublic HealthDemographyCohort studyJAMA Network Open
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