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Daniela Gandolfi

Biographic Data

ID10016804
NAMEDaniela Gandolfi
GIVEN NAMESDaniela
FAMILY NAMEGandolfi
SIGNATUREGANDOLFI D
AFFILIATIONSUniversity of Modena and Reggio Emilia
ORCID0000-0003-2315-2309
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Modeling Early Phases of Covid-19 Pandemic in Northern Italy and Its Implication for Outbreak Diffusion

    Open Access•Daniela Gandolfi, Giuseppe Pagnoni et al.•ARTICLE•Frontiers in Public Health•2021

    The COVID-19 pandemic has sparked an intense debate about the hidden factors underlying the dynamics of the outbreak. Several computational models have been proposed to inform effective social and healthcare strategies. Crucially, the predictive validity of these models often depends upon incorporating behavioral and social responses to infection. Among these tools, the analytic framework known as “dynamic causal modeling” (DCM) has been applied …

No prominent works on this page.

  • Modeling Early Phases of Covid-19 Pandemic in Northern Italy and Its Implication for Outbreak Diffusion

    Open Access•Daniela Gandolfi, Giuseppe Pagnoni et al.•ARTICLE•Frontiers in Public Health•2021

    The COVID-19 pandemic has sparked an intense debate about the hidden factors underlying the dynamics of the outbreak. Several computational models have been proposed to inform effective social and healthcare strategies. Crucially, the predictive validity of these models often depends upon incorporating behavioral and social responses to infection. Among these tools, the analytic framework known as “dynamic causal modeling” (DCM) has been applied …

Computer Science (1 work) · COVID-19 epidemiological studies (1 work) · Data science (1 work) · Diffusion (1 work) · Disease (1 work) · Econometrics (1 work) · Economics (1 work) · Geography (1 work) · Influenza Virus Research Studies (1 work) · Mathematics (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae