incidence
incidence computes epidemiological incidence curves (epicurves) from unaggregated linelist data in R to quantify temporal dynamics of infectious disease outbreaks.
Key Features:
- Epicurve Computation: Computes incidence counts and epicurves over specified time intervals from case-level linelist data.
- Data Handling: Processes unaggregated linelist inputs and converts case dates into binned incidence series without prior aggregation.
- Visualization Capabilities: Generates plots of incidence curves to display temporal outbreak trends.
Scientific Applications:
- Outbreak analytics: Provides temporal incidence estimates for researchers and public health officials analyzing disease spread.
- Epidemic response decision support: Supplies epicurves used to inform control measures and monitor epidemic trajectories.
Methodology:
Calculates incidence (epicurves) from unaggregated linelist case data and produces graphical epicurves within the R environment.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 5/25/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Kamvar ZN, Cai J, Pulliam JR, Schumacher J, Jombart T. Epidemic curves made easy using the R package incidence. F1000Research. 2019;8:139. doi:10.12688/f1000research.18002.1. PMID:31119031. PMCID:PMC6509961.
Downloads
Links
Issue tracker
http://github.com/reconhub/incidence/issues