التفاصيل البيبلوغرافية
| العنوان: |
Chainchecker: An application to visualise and explore transmission chains for Ebola virus disease |
| المؤلفون: |
Katy A. M. Gaythorpe, Natsuko Imai, Mary Choi, Miles Stewart, Jeffrey Freeman, Aaron Morris |
| المساهمون: |
Gaythorpe, Katy [0000-0003-3734-9081], Morris, Aaron [0000-0001-8216-8090], Freeman, Jeffrey [0000-0002-5832-2171], Apollo - University of Cambridge Repository |
| المصدر: |
PLoS ONE, Vol 16, Iss 2, p e0247002 (2021)
PLoS ONE |
| بيانات النشر: |
Public Library of Science (PLoS), 2021. |
| سنة النشر: |
2021 |
| مصطلحات موضوعية: |
RNA viruses, Online and offline, Viral Diseases, Epidemiology, Computer science, Data management, Pathology and Laboratory Medicine, medicine.disease_cause, Vascular Medicine, 01 natural sciences, 010104 statistics & probability, Medical Conditions, Medicine and Health Sciences, Data Management, 0303 health sciences, Multidisciplinary, Applied Mathematics, Simulation and Modeling, Software Engineering, Ebolavirus, Infectious Diseases, Medical Microbiology, Filoviruses, Viral Pathogens, Physical Sciences, Viruses, Data Display, Engineering and Technology, Medicine, Pathogens, Ebola Virus, Algorithms, Research Article, Neglected Tropical Diseases, Computer and Information Sciences, Science, Hemorrhage, Research and Analysis Methods, Disease cluster, Ebola Hemorrhagic Fever, Microbiology, Viral hemorrhagic fever, Computer Software, World Wide Web, Clustering Algorithms, 03 medical and health sciences, Signs and Symptoms, Data visualization, medicine, Humans, 0101 mathematics, Microbial Pathogens, 030304 developmental biology, Viral Hemorrhagic Fevers, Internet, Ebola virus, Biology and life sciences, Hemorrhagic Fever Viruses, business.industry, Data Visualization, Nosocomial transmission, Organisms, Outbreak, Hemorrhagic Fever, Ebola, Tropical Diseases, medicine.disease, Clinical Medicine, Outbreak control, business, Mathematics, Software |
| الوصف: |
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. |
| وصف الملف: |
text/xml; application/pdf; application/zip |
| DOI: |
10.17863/cam.65053 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::782953a4321597107f7fcd0a9cc837a3 |
| Rights: |
OPEN |
| رقم الانضمام: |
edsair.doi.dedup.....782953a4321597107f7fcd0a9cc837a3 |
| قاعدة البيانات: |
OpenAIRE |