chainchecker

chainchecker visualizes, curates, and verifies transmission chain data for Ebola virus disease (EVD) and other viral hemorrhagic fevers (VHFs) to support epidemiological link determination during outbreak investigations.


Key Features:

  • Visualization and curation: Supports integration and curation of VHF case linelists and metadata to identify and correct inconsistencies within putative epidemiological links.
  • Transmission tree visualization: Generates transmission trees that highlight inconsistent links to assist mapping of disease spread.
  • Exposure window calculation: Calculates exposure windows for individual EVD cases using defined incubation periods and symptom profiles.
  • Cluster analysis: Performs cluster analysis to detect epidemiological clusters and patterns, including indications of nosocomial transmission.
  • Nosocomial transmission highlighting: Identifies and highlights potential hospital-acquired (nosocomial) transmission events within transmission chains.

Scientific Applications:

  • Outbreak investigation: Supports reconstruction and verification of transmission chains during EVD and other VHF outbreaks.
  • Epidemiological link assessment: Facilitates evaluation of putative infector–infectee links using exposure windows and transmission trees.
  • Cluster detection: Enables detection of transmission clusters and patterns that inform epidemiological analyses.
  • Infection control assessment: Highlights nosocomial transmission events to inform targeted infection prevention and control measures.

Methodology:

Implemented as a Shiny application written in R, with capability to integrate with VHF databases or linelists.

Topics

Details

Tool Type:
web application
Programming Languages:
R
Added:
3/19/2021
Last Updated:
4/22/2021

Operations

Publications

Gaythorpe K, Morris A, Imai N, Stewart M, Freeman J, Choi M. Chainchecker: An application to visualise and explore transmission chains for Ebola virus disease. PLOS ONE. 2021;16(2):e0247002. doi:10.1371/journal.pone.0247002. PMID:33606709. PMCID:PMC7894960.

PMID: 33606709
PMCID: PMC7894960
Funding: - Medical Research Council: MR/R015600/1

Links