rorygibb/dengue_vietnam_ms: v1.0.0: Code base for Nature Communications MS
Gibb, R
(2023).
rorygibb/dengue_vietnam_ms: v1.0.0: Code base for Nature Communications MS.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.10159288
(2023).
rorygibb/dengue_vietnam_ms: v1.0.0: Code base for Nature Communications MS.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.10159288
This collection contains the full modelling pipeline scripts to implement the analyses in the accompanying manuscript. To demonstrate the modelling pipeline, we provide a subset of the dengue incidence time series data for 4 geographically diverse provinces of Vietnam: Ha Noi (Red River Delta), Dak Lak (Central Highlands), Khanh Hoa (South Central Coast) and Dong Nai (Southeast).
Keywords
Environmental health; Epidemiology; Pathogens; Viral infection| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 20 November 2023 |
| Language(s) of written materials | English |
| Creator(s) |
Gibb, R
|
| 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; University College London, London, United Kingdom; Wellcome Trust, London, United Kingdom; Ministry of Health, Hanoi, Vietnam; National Institute of Hygiene and Epidemiology, Hanoi, Vietnam; Pasteur Institute Nha Trang, Nha Trang, Khanh Hoa Province, Vietnam; Tay Nguyen Institute of Hygiene and Epidemiology, Buon Ma Thuot, Dak Lak Province, Vietnam; Pasteur Institute Ho Chi Minh City, Ho Chi Minh City, Vietnam; Center for Disease Control, Dong Nai Province, Vietnam; Center for Disease Control, Khanh Hoa Province, Vietnam; Center for Disease Control, Hanoi, Vietnam; HR Wallingford, Wallingford, Oxfordshire, United Kingdom; Barcelona Supercomputing Center, Barcelona, Spain; Catalan Institution for Research and Advanced Studies, Barcelona, Spain |
| Funders |
Project Funder Grant Number Funder URI International Partnership Programme 2 D-MOSS project UNSPECIFIED http://dx.doi.org/10.13039/100011690 |
| Date Deposited | 04 Jan 2024 17:03 |
| Last Modified | 04 Jan 2024 17:03 |
| Publisher | Zenodo |
No files available. Please consult associated links.
