R: Health Metrics and the Spread of Infectious Diseases

# Health Metrics and the Spread of Infectious Diseases

## Documentation for package ‘hmsidwR’ version 1.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

deaths2019 | Dataset: Health Metrics Data - Number of Deaths Due to 9 Causes in 2019
deaths9 | Health Metrics Data - Number of Deaths Due to 9 Causes in 6 Locations for the Years 2011 and 2021.
disweights | Dataset: Health Metrics Data - Disability Weights and Severity in 2019 and 2021
g7_hmetrics | Dataset: Health Metrics Data - G7 Countries
germany_lungc | Dataset: Health Metrics Data - Germany lungcancer Deaths 2019
getunz | Download, Unzip and Read Data: getunz
gho_le_hale | Dataset: Global Health Observatory (GHO) - Countries Life Expectancy and Healthy Life Expectancy(HALE) 2000-2019
gho_lifetables | Dataset: Global Health Observatory (GHO) Life tables: WHO Global Life table values
idDALY_map_data | Dataset: Health Metrics Data - Simple Feature Collection Average Disability-Adjusted Life Years (DALYs) per 100,000 population from 1990 to 2021
id_affected_countries | Dataset: Health Metrics Data - Infectious Diseases 1980-2021
incprev_stroke | Global Region Health Metrics Data - Incidence and Prevalence for Stroke 2019 and 2021 Numbers - 5-year age groups from <1 to 85+ and both Location available Global
infectious_diseases | Dataset: Health Metrics Data - Infectious Diseases 1980-2021
kbfit | Kriging Best Fit: kbfit - Fit variogram models and kriging models to spatial data and select the best model based on the metrics values
rabies | Dataset: Health Metrics Data - Rabies Deaths and DALYs from 1980 to 2021
sdi90_19 | Dataset: Health Metrics Data - Socio-Demographic Index (SDI) for 1990 and 2019
spatialdalys2021 | Health Metrics Data - Disability-Adjusted Life Years (DALYs) Estimations for 204 countries in 2021 with spatial information.
string_search | Scan all folders and files to find a string: string_search
theme_hmsid | Custom ggplot2 theme function