Address

Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti" Via dei Taurini, 19 00185 Roma - Italy
Stanza: 515

Contact Information

Call: 515

Email: carmela.sinisgalli@iasi.cnr.it

Personal site: www.iasi.cnr.it

Carmela Sinisgalli

Role: Senior Researcher

Research group: FISIOMAT

Recent publications

  1. 2021
    A multi-group epidemic model to represent the COVID-19 spread among regions: Analysis of the Italian case
    Di Giamberardino P., Iacoviello D., Federico Papa, Carmela Sinisgalli
  2. 2021
    A data-driven model of the COVID-19 spread among interconnected populations: epidemiological and mobility aspects following the lockdown in Italy
    Di Giamberardino P., Iacoviello D., Federico Papa, Carmela Sinisgalli
  3. 2021
    Angiogenesis and vessel co-option in a mathematical model of diffusive tumor growth: The role of chemotaxis
    A Gandolfi, S. De Francisci, A. d'Onofrio, A. Fasano, Carmela Sinisgalli
  4. 2020
    Dynamical evolution of COVID-19 in Italy with an evaluation of the size of the asymptomatic infective population
    P. Di Giamberardino, D. Iacoviello, Federico Papa, Carmela Sinisgalli
  5. 2020
    Applications of nonlinear programming to the optimization of fractionated protocols in cancer radiotherapy
  6. 2019
    Impact of ART-induced viral suppression on the HIV epidemic in Italy
    Federico Papa, Giovanni Felici, M Franzetti, Alberto Gandolfi, Carmela Sinisgalli
  7. 2019
    Optimal number and sizes of the doses in fractionated radiotherapy according to the LQ model
  8. 2018
    A SIMPLE MODEL OF HIVEPIDEMIC IN ITALY: THE ROLE OF THE AN TIRETROVIRAL TREATMENT
    Federico Papa, Francesca Binda, Giovanni Felici, Marco Franzetti, Alberto Gandolfi, Carmela Sinisgalli, Claudia Balotta
  9. 2018
    A simple model of HIV epidemic in Italy: the role of the anti-retroviral treatment
    Federico Papa, F Binda, Giovanni Felici, M Franzetti, Alberto Gandolfi, Carmela Sinisgalli, C Balotta
  10. 2018
    Optimal number and sizes of the doses in fractionated radiotherapy according to the LQ model