Data

Welcome to #30DayMapChallenge 2025 day 4

This map compares mortality rates across Italy, France, and Spain for four leading causes of death — Alzheimer’s disease and other dementias, chronic obstructive pulmonary disease (COPD), diabetes and kidney diseases, and stroke — during the period 2011–2021.
Published

November 4, 2025

Mortality from Chronic Diseases in Italy, France, and Spain

Overview

Data for this challenge comes from the hmsidwR package, which includes global polygon data for mapping disease burden (DALYs) worldwide and other health metrics.

Load Libraries and Data

data(idDALY_map_data)
data(deaths9)

To gain more info about the data:

?idDALY_map_data
?deaths9
deaths <- deaths9 %>%
  filter(sex=="both") %>%
  select(location,cause,dx)

deaths %>%head

Combine Datasets by location

geometry <- idDALY_map_data  %>%
  select(location_name, geometry) 
deaths_map_data <- deaths %>%
  inner_join(geometry, 
            by = c("location" = "location_name"))
deaths_map_data %>% count(cause)

CamCorder and ShowText

# library(camcorder)
# camcorder::gg_record(width = 6, height = 4)
# Colours
text_col <- "grey10"
bg_col <- "grey95"
# Fonts from Google Fonts
# library(showtext)
# font_add_google("Metal Mania")
# font_add_google("Dancing Script")
# showtext_auto()
# showtext_opts(dpi = 300)
# title_font <- "Metal Mania"
# body_font <- "Dancing Script"
base_map <- idDALY_map_data %>%
  ggplot() +
  # Base map layer
  geom_sf(fill = NA, 
          color = alpha("grey70", 0.4), 
          linewidth = 0.2) +
  # Disease-specific data layer
  geom_sf(data = deaths_map_data %>%
            filter(cause %in% c("Alzheimer's disease and other dementias",
                                "Chronic obstructive pulmonary disease",
                                "Diabetes and kidney diseases",
                                "Stroke")),
          aes(fill = dx, geometry = geometry),
          color = alpha("grey70", 0.4), 
          linewidth = 0.2) +
    # Coordinate limits (Europe focus)
  coord_sf(xlim = c(-5, 20), 
           ylim = c(35, 56),
           expand = FALSE) 

base_map
facet_legend_map <- base_map +
  # Facets for each disease
  facet_wrap(~cause,
             labeller = label_wrap_gen(width = 25),
             strip.position = "bottom") +
  ggthemes::theme_map() +
  theme(legend.position = "top",
        legend.key.size = unit(0.8, "lines"),
        legend.title = element_text(size = 5, face="bold"),
        legend.text = element_text(size = 4),
        legend.background = element_rect(fill = NA,colour = NA))

facet_legend_map
colored_map <- facet_legend_map +
  # Color scale and legend
  scale_fill_viridis_c(name = "Deaths\n(per 100,000 people)",
                       labels = scales::label_number(scale = 1e-3),
                       option = "D", direction = -1) +
  theme(text = element_text(family = body_font,
                            size = 9,
                            color = text_col),
        strip.text = element_text(size = 7, face = "bold"),
        strip.background = element_rect(fill = NA, color = NA))

colored_map
ragg::agg_png("day4_my_data3.png",
              width = 6, height = 4, 
              units = "in", 
              res = 320,
              bg = bg_col)

colored_map

dev.off()