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
(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 models| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| 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 |
No files available. Please consult associated links.
