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Software . 2020
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Software . 2020
License: http://www.gnu.org/licenses/agpl.txt
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License: https://www.gnu.org/licenses/agpl.txt
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Epidemiology of infectious diseases in Python (EpilDPy)

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Dec 2020 English Publisher:Zenodo
Authors: Puertas, Edwin; Paternina-Caicedo, Angel; CAOBA;

doi: 10.5281/zenodo.4301044 , 10.5281/zenodo.4301043

Epidemiology of infectious diseases in Python (EpilDPy)

Abstract

The Epidemiology of infectious diseases in Python (EpilDPy) is a framework designed to help scientists and public health officials create and use models of emerging infectious diseases. This framework uses mathematical models of diseases (based on differential equations) to simulate the development or evolution of a disease in time. Also, the framework is founded on an Object-Oriented Programming and Software design pattern approaches in order to optimize the simulation processes of the models.

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Keywords

SAR-Covid19, Contact Tracing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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