dengue_MS {GHRexplore}R Documentation

Dengue cases in Mato Grosso do Sul

Description

Data frame containing the monthly number of notified dengue cases by municipality in the Mato Grosso do Sul state of Brazil, as well as set of spatial and spatio-temporal covariates (e.g., environmental, socio-economic and meteo-climatic factors). This dataset is a subset of the original containing observations over the entire Brazil.

Usage

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").

Source

https://github.com/drrachellowe/hydromet_dengue


[Package GHRexplore version 0.1.1 Index]