case_predictors: State-level predictors of mosquito-borne illness in Brazil
In rrrlw/ripserr: Calculate Persistent Homology with Ripser-Based Engines
case_predictors R Documentation
State-level predictors of mosquito-borne illness in Brazil
Description
A data set of numbers of cases of Dengue in each state of Brazil
in 2013 and three state-level variables used in a predictive model.
Usage
case_predictors
Format
A data frame of 27 observations and 4 variables:
- POP
state population in 2013
- TEMP
average temperature across state municipalities
- PRECIP
average precipitation across state municipalities
- CASE
number of state Dengue cases in 2013
Source
https://web.archive.org/web/20210209122713/https://www.gov.br/saude/pt-br/assuntos/boletins-epidemiologicos-1/por-assunto,
http://www.ipeadata.gov.br/Default.aspx,
https://ftp.ibge.gov.br/Estimativas_de_Populacao/,
https://www.ibge.Goiasv.br/geociencias/organizacao-do-territorio/estrutura-territorial/15761-areas-dos-municipios.html?edicao=30133&t=acesso-ao-produto
Data pre-processing:
After acquiring data from above links, we converted any dataset
embedded in PDF format to CSV. Using carried functionalities in the CSV
file, we sorted all datasets alphabetically based on state names to make
later iterations more convenient. Also, we calculated the annual average
temperature and added to the original dataset where it was documented by
quarter.
rrrlw/ripserr documentation built on April 5, 2025, 2:51 p.m.
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| case_predictors | R Documentation |
State-level predictors of mosquito-borne illness in Brazil
Description
A data set of numbers of cases of Dengue in each state of Brazil in 2013 and three state-level variables used in a predictive model.
Usage
case_predictors
Format
A data frame of 27 observations and 4 variables:
- POP
state population in 2013
- TEMP
average temperature across state municipalities
- PRECIP
average precipitation across state municipalities
- CASE
number of state Dengue cases in 2013
Source
https://web.archive.org/web/20210209122713/https://www.gov.br/saude/pt-br/assuntos/boletins-epidemiologicos-1/por-assunto,
http://www.ipeadata.gov.br/Default.aspx,
https://ftp.ibge.gov.br/Estimativas_de_Populacao/,
https://www.ibge.Goiasv.br/geociencias/organizacao-do-territorio/estrutura-territorial/15761-areas-dos-municipios.html?edicao=30133&t=acesso-ao-produto
Data pre-processing: After acquiring data from above links, we converted any dataset embedded in PDF format to CSV. Using carried functionalities in the CSV file, we sorted all datasets alphabetically based on state names to make later iterations more convenient. Also, we calculated the annual average temperature and added to the original dataset where it was documented by quarter.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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