An implementation framework to improve the transparency and reproducibility of computational models of infectious diseases.
Computational models of infectious diseases have become valuable tools for research and the public health response against epidemic threats. The reproducibility of computational models has been limited, undermining the scientific process and possibly trust in modeling results and related response st...
Main Authors: | Darya Pokutnaya, Bruce Childers, Alice E Arcury-Quandt, Harry Hochheiser, Willem G Van Panhuis |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-03-01
|
Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1010856 |
Similar Items
-
Inter-rater reliability of the infectious disease modeling reproducibility checklist (IDMRC) as applied to COVID-19 computational modeling research
by: Darya Pokutnaya, et al.
Published: (2023-10-01) -
Open Psychology: transparency and reproducibility
by: Maarten Derksen
Published: (2019-11-01) -
North to south gradient and local waves of influenza in Chile
by: Christian Garcia-Calavaro, et al.
Published: (2022-02-01) -
Analytic transparency is key for reproducibility of agricultural research
by: Gudeta W. Sileshi
Published: (2023-03-01) -
Improvement of reproducibility and research transparency in Silva Fennica
by: Nygren, Pekka
Published: (2020-01-01)