epiCo
R package for statistical and spatiotemporal modeling of epidemiological data for vector-borne diseases in Colombia
Science Score: 67.0%
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Repository
R package for statistical and spatiotemporal modeling of epidemiological data for vector-borne diseases in Colombia
Basic Info
- Host: GitHub
- Owner: epiverse-trace
- License: other
- Language: R
- Default Branch: main
- Homepage: https://epiverse-trace.github.io/epiCo/
- Size: 69.2 MB
Statistics
- Stars: 14
- Watchers: 3
- Forks: 2
- Open Issues: 10
- Releases: 2
Topics
Metadata Files
README.md
epiCo 
epiCo provides statistical and visualization tools for the analysis of demographic indicators, and spatio-temporal behavior and characterization of outbreaks of vector-borne diseases (VBDs) in Colombia.
Installation
You can install the stable version of epiCo from CRAN with:
r
install.packages("epiCo")
You can also install the development version of epiCo from GitHub with:
``` r
install.packages("remotes")
remotes::install_github("epiverse-trace/epiCo") ```
Motivation
When reviewing the current epidemiological bulletins published by the local Secretariats of Health in Colombia, we identified an opportunity to create a tool to: - Include spatial and demographic risk assessments into their routine epidemiological reports to better identify population groups for potential interventions. - Facilitate the understanding of the different epidemiological profiles within a region in Colombia regarding the onset, duration, magnitude, and frequency of the outbreaks. - Strengthen the transparency of the methods used for the outbreak analysis. - Provide more informative context by performing spatial correlation analysis.
The package allows for interoperable analyses of linelist data from SIVIGILA (accessible using the Epiverse-TRACE package sivirep) with spatial and demographic data (accessible using the Epiverse-TRACE package ColOpenData).
epiCo can be used to perform the following main tasks at the municipality, departmental, or national level:
- To identify demographic vulnerabilities from linelist data and the socioeconomic census, including risk assessment based on age, gender, occupation, and ethnicity.
- To assess hot-spot analyses (as Local Moran's index) based on real travel distances in Colombia estimated from Bravo-Vega C., Santos-Vega M., & Cordovez J.M. (2022).
- To generate automated outbreak characterization (onset, duration, magnitude, and frequency) using traditional methods as the endemic channel and poisson tests for unusual behavior.
- Future features will include correlation analyses between categorical socioeconomic data, climate time series and epidemiological data, nowcasting assessment, underreport estimation, and short-term forecasting.
All features are performed automatically from epidemiological, demographic, spatial, and socioeconomic data published by Colombian institutions, but methods can also be customized as well as input data, so hypothetical information can be tested within the package.
Modules
epiCo contains three modules documented in the following vignettes:
- Demographic analyses with epiCo
- Building an Endemic Channel with epiCo
- Spatiotemporal analyses with epiCo
Development
Lifecycle
This package is currently a maturing product, as defined by the RECON software lifecycle. This means that essential features and mechanisms are functional, documented, and tested. However, the package is open to receive code reviews and is being socialized with expert users.
Contributions
Contributions are welcome via pull requests.
Contributors to the project include:
- Juan D. Umaña (author)
- Juan Montenegro-Torres (author)
- Julian Otero (author)
- Hugo Gruson (contributor)
- Mauricio Santos-Vega (advisor)
- Catalina Gonzalez Uribe (advisor)
- Juan Manuel Cordovez (advisor)
We acknowledge the contribution of collaborators in Universidad de los Andes, Pontificia Universidad Javeriana, Instituto Nacional de Salud de Colombia, Secretaría de Salud del Tolima, and Epimodelac Course attendees who provided insightful feedback for the package.
Code of Conduct
Please note that the epiCo project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
Funding
This work is part of the TRACE-LAC research project funded by the International Research Centre (IDRC) Ottawa, Canada.[109848-001-].
Owner
- Name: Epiverse-TRACE
- Login: epiverse-trace
- Kind: organization
- Website: https://epiverse.org
- Repositories: 17
- Profile: https://github.com/epiverse-trace
Citation (CITATION.cff)
# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
cff-version: 1.2.0
message: 'To cite package "epiCo" in publications use:'
type: software
license: MIT
title: 'epiCo: Statistical and Viz Tools for Vector-Borne Diseases in Colombia'
version: 1.0.0
doi: 10.32614/CRAN.package.epiCo
abstract: Provides statistical and visualization tools for the analysis of demographic
indicators, and spatio-temporal behavior and characterization of outbreaks of vector-borne
diseases (VBDs) in Colombia. It implements travel times estimated in Bravo-Vega
C., Santos-Vega M., & Cordovez J.M. (2022), and the endemic channel method (Bortman,
M. (1999) <https://iris.paho.org/handle/10665.2/8562>).
authors:
- family-names: Umaña
given-names: Juan D.
email: jd.umana10@uniandes.edu.co
orcid: https://orcid.org/0000-0003-0316-6164
- family-names: Montenegro-Torres
given-names: Juan
email: jf.montenegro@uniandes.edu.co
orcid: https://orcid.org/0000-0003-2755-4743
- family-names: Otero
given-names: Julian
email: jd.otero10@uniandes.edu.co
orcid: https://orcid.org/0009-0006-0429-7747
repository: https://CRAN.R-project.org/package=epiCo
repository-code: https://github.com/epiverse-trace/epiCo
url: https://epiverse-trace.github.io/epiCo/
contact:
- family-names: Umaña
given-names: Juan D.
email: jd.umana10@uniandes.edu.co
orcid: https://orcid.org/0000-0003-0316-6164
keywords:
- colombia
- decision-support
- demographics
- epiverse
- outbreak-analysis
- r
- r-package
- spatio-temporal-analysis
- vector-borne-diseases
references:
- type: software
title: 'R: A Language and Environment for Statistical Computing'
notes: Depends
url: https://www.R-project.org/
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institution:
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abstract: 'dplyr: A Grammar of Data Manipulation'
notes: Imports
url: https://dplyr.tidyverse.org
repository: https://CRAN.R-project.org/package=dplyr
authors:
- family-names: Wickham
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orcid: https://orcid.org/0000-0002-2444-4226
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- family-names: Müller
given-names: Kirill
orcid: https://orcid.org/0000-0002-1416-3412
- family-names: Vaughan
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email: davis@posit.co
orcid: https://orcid.org/0000-0003-4777-038X
year: '2024'
doi: 10.32614/CRAN.package.dplyr
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abstract: 'ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics'
notes: Imports
url: https://ggplot2.tidyverse.org
repository: https://CRAN.R-project.org/package=ggplot2
authors:
- family-names: Wickham
given-names: Hadley
email: hadley@posit.co
orcid: https://orcid.org/0000-0003-4757-117X
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orcid: https://orcid.org/0000-0002-1576-2126
- family-names: Henry
given-names: Lionel
- family-names: Pedersen
given-names: Thomas Lin
email: thomas.pedersen@posit.co
orcid: https://orcid.org/0000-0002-5147-4711
- family-names: Takahashi
given-names: Kohske
- family-names: Wilke
given-names: Claus
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- family-names: Woo
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- family-names: Yutani
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- family-names: Dunnington
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- family-names: Brand
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year: '2024'
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abstract: 'ggraph: An Implementation of Grammar of Graphics for Graphs and Networks'
notes: Imports
url: https://ggraph.data-imaginist.com
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authors:
- family-names: Pedersen
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email: thomasp85@gmail.com
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notes: Imports
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repository: https://CRAN.R-project.org/package=leaflet
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url: https://scales.r-lib.org
repository: https://CRAN.R-project.org/package=scales
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address: Vienna, Austria
year: '2024'
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GitHub Events
Total
- Issues event: 7
- Watch event: 1
- Delete event: 3
- Issue comment event: 2
- Push event: 29
- Pull request review event: 2
- Pull request review comment event: 1
- Pull request event: 9
- Fork event: 1
- Create event: 6
Last Year
- Issues event: 7
- Watch event: 1
- Delete event: 3
- Issue comment event: 2
- Push event: 29
- Pull request review event: 2
- Pull request review comment event: 1
- Pull request event: 9
- Fork event: 1
- Create event: 6
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Juan D. Umaña | j****o@g****m | 147 |
| Juan Montenegro Torres | 6****9 | 47 |
| jd-otero | j****o@o****m | 31 |
| Hugo Gruson | 1****o | 17 |
| github-actions[bot] | 4****] | 3 |
| Hadley Wickham | h****y@p****o | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 64
- Total pull requests: 97
- Average time to close issues: 2 months
- Average time to close pull requests: 9 days
- Total issue authors: 15
- Total pull request authors: 6
- Average comments per issue: 0.38
- Average comments per pull request: 0.59
- Merged pull requests: 81
- Bot issues: 0
- Bot pull requests: 6
Past Year
- Issues: 7
- Pull requests: 11
- Average time to close issues: about 1 month
- Average time to close pull requests: 3 days
- Issue authors: 3
- Pull request authors: 5
- Average comments per issue: 0.0
- Average comments per pull request: 0.09
- Merged pull requests: 7
- Bot issues: 0
- Bot pull requests: 2
Top Authors
Issue Authors
- juan-umana (27)
- Juanmontenegro99 (17)
- Deedado71 (3)
- pratikunterwegs (2)
- SilvRondon (2)
- oespinozah (2)
- carolinavelasco23 (1)
- jd-otero (1)
- Bisaloo (1)
- nizuro (1)
- alejandrocs98 (1)
- joshwlambert (1)
- roganich (1)
- johanaatorress (1)
- camilavargas1701 (1)
Pull Request Authors
- Juanmontenegro99 (56)
- juan-umana (30)
- Bisaloo (28)
- github-actions[bot] (11)
- jd-otero (6)
- hadley (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 246 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 1
cran.r-project.org: epiCo
Statistical and Viz Tools for Vector-Borne Diseases in Colombia
- Homepage: https://epiverse-trace.github.io/epiCo/
- Documentation: http://cran.r-project.org/web/packages/epiCo/epiCo.pdf
- License: MIT + file LICENSE
-
Latest release: 1.0.1
published about 1 year ago