Data and R code to accompany 'Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions'
Lee, SA
(2021).
Data and R code to accompany 'Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions'.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.4706865
Data and R code to support Lee et al., (2021). Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.
Keywords
Mosquito-borne disease models, Mosquito, Disease modelsItem Type | Dataset |
---|---|
Capture method | Aggregation |
Date | 20 April 2021 |
Language(s) of written materials | English |
Creator(s) |
Lee, SA |
Associated roles | Lowe, R (Supervisor) |
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 11:28 |
Last Modified | 16 Sep 2021 09:14 |
Publisher | Zenodo |
Explore Further
- Data record - Zenodo (Online Data Resource)
- Github (Data)
No files available. Please consult associated links.
- Data record - Zenodo (Online Data Resource)
- Github (Data)
Downloads
ORCID: https://orcid.org/0000-0002-2049-9756