dengue_MS: Dengue cases in _Mato Grosso do Sul_
In GHRexplore: Exploratory Analysis of Temporal and Spatio-Temporal Health Data

dengue_MS

R Documentation

Dengue cases in Mato Grosso do Sul

Description

Monthly number of notified dengue cases by municipality in the Mato Grosso do Sul state of Brazil and a set of spatial and spatio-temporal covariates.

Usage

data(dengue_MS)

Format

A data frame with 2,640 rows and 27 columns:

micro_code: Unique ID number for each micro region (11 units).
micro_name: Name of each micro region.
micro_name_ibge: Name of each micro region in IBGE format.
meso_code: Unique ID number for each meso region (4 units).
meso_name: Name of each meso region.
state_code: Unique ID number for each state (1 unit).
state_name: Name of each state.
region_code: Unique ID number given to each Brazilian Region. All observations come from the "Southeast Region".
region_name: Name of each Brazilian Region. All observations come from the "Southeast Region".
biome_code: Biome code.
biome_name: Biome name.
ecozone_code: Ecozone code.
ecozone_name: Ecozone name.
main_climate: Most prevalent climate regime in the microregion. Based on Koppen Geiger climate regimes.
month: Calendar month index, 1 = January, 12 = December.
year: Year 2000 - 2019.
time: Time index starting at 1 for January 2000.
dengue_cases: Number of notified dengue cases registered in the notifiable diseases system in Brazil (SINAN) in the microregion of reference, at the month of first symptoms.
population: Estimated population based on projections calculated using the 2000 and 2010 censuses, as well as population counts from 2007 and 2017.
pop_density: Population density (number of people per km2).
tmax: Monthly average daily maximum temperature; gridded values (at a 0.5 deg resolution) averaged across each microregion.
tmin: Monthly average daily minimum temperature; gridded values (at a 0.5 deg resolution) averaged across each microregion.
pdsi: Self-calibrated Palmer Drought Severity Index for each microregion. It measures how wet or dry a region is relative to usual conditions. Negative values represent periods of drought, positive values represent wetter periods. Calculated by taking the mean value within each microregion.
urban: Percentage of population living in urban areas (2010 census).
water_network: Percentage of population with access to the piped water network according to the 2010 census.
water_shortage: Frequency of reported water shortages per microregion between 2000 and 2016.
date: First day of the month in date format ("%d-%m-%Y").

Details

In addition to the dengue counts, the dataset contains a set of environmental, socio-economic and meteo-climatic factors. This dataset is a subset of the original containing observations over the entire Brazil.