R code for the paper "Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles"
Colón-González, FJ
, Soares Bastos, L
, Hofmann, B, Hopkin, A, Harpham, Q, Crocker, T, Amato, R, Ferrario, I, Moschini, F, James, S, Malde, S, Ainscoe, E, Sinh Nam, V, Quang Tan, D, Duc Khoa, N, Harrison, M, Tsarouchi, G, Lumbroso, D, Brady, OJ
and Lowe, R
(2021).
R code for the paper "Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles".
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.4740093
The R code presented here provides all the scripts required to run the superensemble of probabilistic dengue models presented in the paper "Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles" published in PLoS Medicine by FJ Colón-González et al. (2021). The code comprises seven ordered sub-routines. Each sub-routine has a number that indicates its location in a sequence of steps starting at 00 and ending at 06. The sub-routine called 06_Run_routines.R contains all the commands required to load and perform all operations in sequence. We suggest users only run that script.
Keywords
Dengue fever, Seasons, Forecasting, Vietnam, Public and occupational health, Decision making, Humidity, MosquitoesItem Type | Dataset |
---|---|
Capture method | Aggregation |
Date | 6 May 2021 |
Language(s) of written materials | English |
Creator(s) |
Colón-González, FJ |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 07 May 2021 11:22 |
Last Modified | 08 Jul 2021 12:52 |
Publisher | Zenodo |
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- Data record - Zenodo (Online Data Resource)
- Github (Data)
No files available. Please consult associated links.
- Data record - Zenodo (Online Data Resource)
- Github (Data)
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ORCID: https://orcid.org/0000-0002-9671-3405
ORCID: https://orcid.org/0000-0002-1406-0122
ORCID: https://orcid.org/0000-0002-3235-2129
ORCID: https://orcid.org/0000-0003-3939-7343