Dengue cases from the “Mato Grosso do Sul” state of Brazil

Description

The dengue_MS example data set contains monthly counts of notified dengue cases by microregion, along with a range of spatial and spatiotemporal covariates (e.g., environmental, socio-economic and meteo-climatic factors). This data set represents a subset of a larger national data set that covers the entire territory of Brazil. The subset focuses on a specific region, Mato Grosso do Sul, for the purposes of illustration and computational efficiency. See @source for access to the complete data set.

dengue_MS

Format

A data frame with 2,600 rows and 27 columns:

  • micro_code: Unique ID number to each micro region (11 units)
  • micro_name: Name of each micro region
  • micro_name_ibge: Name of each micro region following IBGE
  • meso_code: Unique ID number to each meso region (4 units)
  • meso_name: Name of each meso region
  • state_code: Unique ID number to each state (1 unit)
  • state_name: Name of each state
  • region_code: Unique ID number given to each Brazilian Region, In this data frame all observations come from the “Southeast Region”
  • region_name: Name of each Brazilian Region, In this data frame 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, and counts taken in 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 inhabitants living in urban areas (2010 census)
  • water_network: Percentage of inhabitants with access to the piped water network according to the 2010 census
  • water_shortage: Frequency of reported water shortages per microregion between 2000 - 2016
  • date: First day of the Month, in date format (“%d-%m-%Y”)

Source

source code on GitHub; source code on Zenodo);