UTLDR: an agent-based framework for modeling infectious diseases and public interventions

Autor: Rossetti G., Milli L., Citraro S., Morini V.

Publikováno v: ISTI Working Papers, 2020

Nowadays, due to the SARS-CoV-2 pandemic, epidemic modelling is experiencing a constantly growing interest from researchers of heterogeneous fields of study. Indeed, the vast literature on computational epidemiology offers solid grounds for analytica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d559c837cd22cd81e086d2be0233e9db
https://openportal.isti.cnr.it/doc?id=people______::d559c837cd22cd81e086d2be0233e9db

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A single-arm clinical trial investigating the effectiveness of a non-hormonal vaginal moisturizer in postmenopausal cancer survivors

Autor: Carter, J., Goldfarb, S., Baser, R.E., Goldfrank, D.J., Seidel, B., Milli, L., Stabile, C., Canty, J., Dickler, M.N., Alektiar, K.

Publikováno v: In Gynecologic Oncology June 2019 154 Supplement 1:164-164

Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach

Autor: Furletti B., Gabrielli L., Giannotti F., Milli L., Nanni M., Pedreschi D., Vivio R., Garofalo G.

Publikováno v: SIS 2014-47th Scientific Meeting of the Italian Statistical Society, Cagliari, Italy, 11-13 June 2014
info:cnr-pdr/source/autori:Furletti B.; Gabrielli L.; Giannotti F.; Milli L.; Nanni M.; Pedreschi D.; Vivio R.; Garofalo G./congresso_nome:SIS 2014-47th Scientific Meeting of the Italian Statistical Society/congresso_luogo:Cagliari, Italy/congresso_data:11-13 June 2014/anno:2014/pagina_da:/pagina_a:/intervallo_pagine

The Big Data, originating from the digital breadcrumbs of human activities, sensed as a by-product of the technologies that we use for our daily ctivities, let us to observe the individual and collective behavior of people at an unprecedented detail.

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https://openportal.isti.cnr.it/doc?id=people______::c01b4a0b3bd57176d83033e3c8a41437

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