Software engineering standards for epidemiological models

There are many tangled normative and technical questions involved in evaluating the quality of software used in epidemiological simulations. In this paper we answer some of these questions and offer practical guidance to practitioners, funders, scientific journals, and consumers of epidemiological r...

Descripción completa

Detalles Bibliográficos
Autores principales: Horner, Jack K., Symons, John F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653982/
https://www.ncbi.nlm.nih.gov/pubmed/33170375
http://dx.doi.org/10.1007/s40656-020-00347-6
_version_ 1783607986471567360
author Horner, Jack K.
Symons, John F.
author_facet Horner, Jack K.
Symons, John F.
author_sort Horner, Jack K.
collection PubMed
description There are many tangled normative and technical questions involved in evaluating the quality of software used in epidemiological simulations. In this paper we answer some of these questions and offer practical guidance to practitioners, funders, scientific journals, and consumers of epidemiological research. The heart of our paper is a case study of the Imperial College London (ICL) covid-19 simulator, set in the context of recent work in epistemology of simulation and philosophy of epidemiology.
format Online
Article
Text
id pubmed-7653982
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-76539822020-11-10 Software engineering standards for epidemiological models Horner, Jack K. Symons, John F. Hist Philos Life Sci Original Paper There are many tangled normative and technical questions involved in evaluating the quality of software used in epidemiological simulations. In this paper we answer some of these questions and offer practical guidance to practitioners, funders, scientific journals, and consumers of epidemiological research. The heart of our paper is a case study of the Imperial College London (ICL) covid-19 simulator, set in the context of recent work in epistemology of simulation and philosophy of epidemiology. Springer International Publishing 2020-11-10 2020 /pmc/articles/PMC7653982/ /pubmed/33170375 http://dx.doi.org/10.1007/s40656-020-00347-6 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Horner, Jack K.
Symons, John F.
Software engineering standards for epidemiological models
title Software engineering standards for epidemiological models
title_full Software engineering standards for epidemiological models
title_fullStr Software engineering standards for epidemiological models
title_full_unstemmed Software engineering standards for epidemiological models
title_short Software engineering standards for epidemiological models
title_sort software engineering standards for epidemiological models
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653982/
https://www.ncbi.nlm.nih.gov/pubmed/33170375
http://dx.doi.org/10.1007/s40656-020-00347-6
work_keys_str_mv AT hornerjackk softwareengineeringstandardsforepidemiologicalmodels
AT symonsjohnf softwareengineeringstandardsforepidemiologicalmodels

Ejemplares similares