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 available research tools that epidemiologists can exploit to better understand the spreading characteristics of these diseases and to decide on vaccination policies, human interaction controls, and other social measures to counter, mitigate or simply delay the spread of the infectious diseases. Nevertheless, the construction of mathematical models for these diseases and their solutions remain a challenging tasks due to the fact that little effort has been devoted to the definition of a general framework

SUBMITTER: Castagno P 

PROVIDER: S-EPMC7492136 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature