Gasparrini, A. 2020. gasparrini/2019_vicedo-cabrera_Epidem_Rcodedata. [Online]. Github. Available from: https://github.com/gasparrini/2019_vicedo-cabrera_Epidem_Rcodedata
Gasparrini, A. gasparrini/2019_vicedo-cabrera_Epidem_Rcodedata [Internet]. Github; 2020. Available from: https://github.com/gasparrini/2019_vicedo-cabrera_Epidem_Rcodedata
Gasparrini, A (2020). gasparrini/2019_vicedo-cabrera_Epidem_Rcodedata. [Data Collection]. Github. https://github.com/gasparrini/2019_vicedo-cabrera_Epidem_Rcodedata
Description
A methodologic framework to estimate future health impacts under climate change scenarios based on a defined set of assumptions and advanced statistical techniques developed in time-series analysis in environmental epidemiology. The proposed methodology is illustrated through a step-by-step hands-on tutorial structured in well defined sections that cover the main methodological steps and essential elements:
Keywords
| Data capture method | Simulation |
|---|---|
| Date (Date published in a 3rd party system) | 16 November 2020 |
| Language(s) of written materials | English |
| Data Creators | Gasparrini, A |
|---|---|
| LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Public Health, Environments and Society |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 02 Jul 2021 14:10 |
|---|---|
| Last Modified | 08 Jul 2021 12:48 |
| Publisher | Github |
