P
Piero Manfredi
Researcher at University of Pisa
Publications - 81
Citations - 3227
Piero Manfredi is an academic researcher from University of Pisa. The author has contributed to research in topics: Population & Vaccination. The author has an hindex of 23, co-authored 75 publications receiving 2707 citations.
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Journal ArticleDOI
Statistical physics of vaccination
Zhen Wang,Zhen Wang,Chris T. Bauch,Samit Bhattacharyya,Alberto d’Onofrio,Piero Manfredi,Matjaz Perc,Nicola Perra,Marcel Salathé,Dawei Zhao +9 more
TL;DR: This report reviews the developmental arc of theoretical epidemiology with emphasis on vaccination, as it led from classical models assuming homogeneously mixing populations and ignoring human behavior, to recent models that account for behavioral feedback and/or population spatial/social structure.
BookDOI
Modeling the interplay between human behavior and the spread of infectious diseases
Piero Manfredi,Alberto d’Onofrio +1 more
TL;DR: Modeling the interplay between human behavior and the spread of infectious diseases and the impact of environmental factors on human behavior is studied.
Journal ArticleDOI
Vaccinating behaviour, information, and the dynamics of SIR vaccine preventable diseases
TL;DR: Using an SIR model with information dependent vaccination, it is shown that rational exemption might make elimination of the disease an unfeasible task even if coverages as high as 100% are actually reached during epochs of high social alarm.
Journal ArticleDOI
Inferring the Structure of Social Contacts from Demographic Data in the Analysis of Infectious Diseases Spread
Laura Fumanelli,Marco Ajelli,Piero Manfredi,Alessandro Vespignani,Alessandro Vespignani,Stefano Merler +5 more
TL;DR: This study provides a numerical approach for the generation of human mixing patterns that can be used to improve the accuracy of mathematical models in the absence of specific experimental data.
Journal ArticleDOI
Mitigation measures for pandemic influenza in Italy: an individual based model considering different scenarios.
Marta Ciofi Degli Atti,Stefano Merler,Caterina Rizzo,Caterina Rizzo,Marco Ajelli,Marco Ajelli,Marco Massari,Piero Manfredi,Cesare Furlanello,Gianpaolo Scalia Tomba,Mimmo Iannelli +10 more
TL;DR: This IBM, which is based on country-specific demographic data, could be suitable for the real-time evaluation of measures to be undertaken in the event of the emergence of a new pandemic influenza virus.