Responsible modelling: Unit testing for infectious disease epidemiology | Zendy

Tim Lucas | Zendy; Timothy M. Pollington | Zendy; Emma L. Davis | Zendy; T. Déirdre Hollingsworth | Zendy

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Responsible modelling: Unit testing for infectious disease epidemiology

Author(s) -

Tim Lucas,

Timothy M. Pollington,

Emma L. Davis,

T. Déirdre Hollingsworth

Publication year - 2020

Publication title -

epidemics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.023

H-Index - 41

eISSN - 1755-4365

pISSN - 1878-0067

DOI - 10.1016/j.epidem.2020.100425

Subject(s) - epidemiology , infectious disease (medical specialty) , harm , disease , inference , tuberculosis , medicine , malaria , computer science , intensive care medicine , data science , pathology , artificial intelligence , psychology , social psychology

Highlights• Unit testing can reduce the number of bugs in code but is rarely used in our field. • We present a worked example of adding unit tests to a computational model. • Specific issues such as stochastic code are common in infectious disease modelling. • Unit testing can handle particular quirks of infectious disease models. • We hope to increase the use of unit testing in infectious disease epidemiology.

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