Advertisement

COMPUTATIONAL MODELING OF “DISEASE X”

  • Ana Pastore y Piontti
  • Nicola Perra
  • Luca Rossi
  • Nicole Samay
  • Alessandro Vespignani
Chapter
  • 804 Downloads

IN THE PREVIOUS CHAPTERS, we have discussed only a few of the pathogens that pose a public health risk because of their epidemic potential. This list is in fact very long and also includes mosquito and other vector-borne diseases such as Zika and yellow fever, which require the modeling of the vector population along with humans. Furthermore, most priority lists for epidemic threats consider the so-called Disease X, i.e., the emergence of a future unknown pathogen with novel etiological characteristics and transmission mechanisms. The scenarios we have provided are therefore only a small fraction of the virtually infinite epidemic evolutions that might account for most known disease dynamics and the broad Disease X template.

In principle it is possible to imagine the creation of a database of potential epidemic evolutions that scans the parameter space defining general Disease Xfeatures. Besides the disease parameters, such a database should contain different initial conditions, both...

Keywords

WITH NOVEL Disease Transmission Mechanisms Computational System Architecture Visualization Widgets Visualization Dashboard 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Ana Pastore y Piontti
    • 1
  • Nicola Perra
    • 2
  • Luca Rossi
    • 3
  • Nicole Samay
    • 1
  • Alessandro Vespignani
    • 1
  1. 1.Northeastern UniversityBostonUSA
  2. 2.University of GreenwichLondonUK
  3. 3.Institute for Scientific InterchangeTorinoItaly

Personalised recommendations