A computational framework for modeling and studying pertussis epidemiology and vaccination

A computational framework for modeling and studying pertussis epidemiology and vaccination

Abstract Background Emerging and re-emerging infectious diseases such as Zika, SARS, ncovid19 and Pertussis, pose a compelling challenge for epidemiologists due to their significant impact on global public health. In this context, computational models and computer simulations are one of the availabl...

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Bibliographic Details
Main Authors: Paolo Castagno, Simone Pernice, Gianni Ghetti, Massimiliano Povero, Lorenzo Pradelli, Daniela Paolotti, Gianfranco Balbo, Matteo Sereno, Marco Beccuti
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Bioinformatics
Subjects:
Computational models
Colored Petri Nets
Epidemiological model
Pertussis
Online Access:http://link.springer.com/article/10.1186/s12859-020-03648-6

Internet

http://link.springer.com/article/10.1186/s12859-020-03648-6

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