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.

PMID: 31119031
PMCID: PMC6509961
Funding: - Global Challenges Research Fund: ES/P010873/1

Downloads

Links