ArticlePloS one2021
Chainchecker: An application to visualise and explore transmission chains for Ebola virus disease.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using mHealth Technologies for Case Finding in Tuberculosis and Other Infectious Diseases in Africa: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Clinical utility and limitations of whole-genome sequencing via nanopore technology and Bayesian modeling for outbreak transmission inference.Antimicrobial resistance and infection control · 2026Article
- Strategies Utilized During Sudan Virus Disease Outbreak Response in Kampala City, Uganda, 2022 - 2023.Journal of epidemiology and global health · 2025Article
- Use of the Chainchecker application: Uganda's experience during the 2022 Sudan Virus Disease outbreak.PLOS global public health · 2025Article
- Development and implementation of the Ebola Exposure Window Calculator: A tool for Ebola virus disease outbreak field investigations.PloS one · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
2020 saw the continuation of the second largest outbreak of Ebola virus disease (EVD) in history. Determining epidemiological links between cases is a key part of outbreak control. However, due to the large quantity of data and subsequent data entry errors, inconsistencies in potential epidemiological links are difficult to identify. We present chainchecker, an online and offline shiny application which visualises, curates and verifies transmission chain data. The application includes the calculation of exposure windows for individual cases of EVD based on user defined incubation periods and user specified symptom profiles. It has an upload function for viral hemorrhagic fever data and utility for additional entries. This data may then be visualised as a transmission tree with inconsistent links highlighted. Finally, there is utility for cluster analysis and the ability to highlight nosocomial transmission. chainchecker is a R shiny application which has an offline version for use with VHF (viral hemorrhagic fever) databases or linelists. The software is available at https://shiny.dide.imperial.ac.uk/chainchecker which is a web-based application that links to the desktop application available for download and the github repository, https://github.com/imperialebola2018/chainchecker.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.