Responsible modelling: Unit testing for infectious disease epidemiology

Infectious disease epidemiology is increasingly reliant on large-scale computation and inference. Models have guided health policy for epidemics including COVID-19 and Ebola and endemic diseases including malaria and tuberculosis. Yet a coding bug may bias results, yielding incorrect conclusions and...

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Detalles Bibliográficos
Autores principales: Lucas, Tim C.D., Pollington, Timothy M, Davis, Emma L, Hollingsworth, T Déirdre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690327/
https://www.ncbi.nlm.nih.gov/pubmed/33307443
http://dx.doi.org/10.1016/j.epidem.2020.100425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690327/
https://www.ncbi.nlm.nih.gov/pubmed/33307443
http://dx.doi.org/10.1016/j.epidem.2020.100425

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