This package contains both the data and the figures presented in the paper “Natural Hazards Fatalities in Brazil, 1979–2019”. Below is the abstract of the aforementioned paper.
The impact of natural hazards on nations and societies is a global challenge and concern. Studies worldwide have been conducted within and among countries, to examine the spatial distribution and temporal evolution of fatalities and their consequences in societies. In Brazil, no studies have comprehensively identified fatalities associated with all natural hazards and their singularities by decade, region, sex, age, and other victim characteristics. This study develops a deep analysis on the Brazilian Data Mortality of the Brazilian Ministry of Health, from 1979 to 2019, identifying the natural hazards that kill the greatest number of people in Brazil and its surrounding particularities. Lightning is the deadliest natural hazard in Brazil during this period, with a gradual decrease in the number of fatal victims. Hydrogeological fatalities increases from 2000, and the most fatalities develop from 2010 to 2019. Despite Brazil being a tropical country affected by severe droughts, extreme heat had the lowest number of fatalities, almost irrelevant when compared with that of other natural hazards. The period from December to March is with the higher number of fatalities, and the Southeast region is the most populous regions were the most are fatally affected. The number of male victims is double that of female victims, of all ages, and unmarried victims died the most. Thus, it is fundamental to recognize and make public the knowledge of different natural hazards’ impacts on communities and societies, namely people and their livelihoods, to evaluate challenges and recognize opportunities to reduce natural hazards’ impacts on Brazil.
You can install the development version of brazildatamortality from GitHub with:
# install.packages("devtools")
devtools::install_github("coutogabriela/brazildatamortality")This basic example shows the deaths in Brazil by cause and year:
library(brazildatamortality)
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library(ggplot2)
get_data() %>%
ggplot() +
geom_bar(aes(x = death_year, fill = cause)) +
xlab("Year") +
ylab("Number of fatalities") +
labs(fill = "Fatality cause") +
ggtitle("Deaths by natural hazard in Brazil")
This package contains:
- two datasets corresponding to fatalities by natural hazards (one from 1979 to 1995 and the other from 1996 to 2019).
- two datasets corresponding to Brazil’s administrative divisions (state and town)
- one dataset corresponding to a hexagonal approximation of the Brazilian state division.