EmilieFinch/DR-covid19
Finch, E
(2026).
EmilieFinch/DR-covid19.
[Dataset].
Github.
https://github.com/EmilieFinch/DR-covid19
(2026).
EmilieFinch/DR-covid19.
[Dataset].
Github.
https://github.com/EmilieFinch/DR-covid19
This repo contains code and data to model the COVID-19 pandemic in the Dominican Republic from 2020-2022. This analysis uses covidm, a model developed by Davies and colleagues to estimate the impact of NPIs on COVID-19 transmission in the UK. Model fitting requires installation of Rcpp, instructions for the installation of covidm can be found in R/covidm_for_fitting.
Keywords
COVID-19; Vaccination; Serology; Immunity; Transmission dynamics; Population mobility; Mathematical modelling; Bayesian inference| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 26 August 2026 |
| Language(s) of written materials | English |
| Creator(s) |
Finch, E
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
| Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 09 Feb 2026 10:43 |
| Last Modified | 02 Jun 2026 10:21 |
| Publisher | Github |
No files available. Please consult associated links.
