"Monkeypox in Latin America and the Caribbean: assessment of the first 100 days of the 2022 outbreak"
(Paper authors: Antonio Quispe & Jesus M. Castagnetto)
Article: https://doi.org/10.1080/20477724.2023.2201979
The scripts written in R are of two types: (a) those that pre-process the data and (b) those that generate the figures (maps, timeline and line plot) and incidence table.
| Script | Purpose |
|---|---|
| 01-preproc-un-population-data.R | Download and pre-process the UN World Population Prospects data for 2022 |
| 02-preproc-wb-classification.R | Download and pre-process the WB Countrie's classification (FY 2023) |
| 03-preproc-monkeypox-data.R | Download and pre-process the Monkeypox cases from the Global.healt repository |
| fig01-monkeypox-map-current-incidence-country.R | The global incidence map for Monkeypox |
| fig02-monkeypox-map-evolution-incidence-latamcarib.R | A small multiples graphic mapping the advance of Monkeypox in Latinamerica and the Caribbean |
| fig03-monkeypox-timeline.R | Create a timeline of the Monkeypox outbreak with specific milestones for the first 12 weeks |
| fig04-monkeypox-plot-incidence-by-subregion.R | Trajectory of the incidence for all sub-regions, from the epidemiological week #20 until the week #31 of 2022 |
| tab01-monkeypox-tables-incidence.R | Table with the incidences per country in Latinamerica and the Caribbean, up to the epidemiological week #31 of 2022 |
The data from the original sources was last updated on 2022-08-11, and are all in the data/orig/ directory. The processed data is in data/proc/.
All the output artifacts (figures and table) can be found in the output directory in this repository. The figures are all in the zip file figures.zip, because the original TIFF files are too big for the size limits of github.
License: MIT