期刊论文详细信息
BMC Bioinformatics
ARCA: the interactive database for arbovirus reported cases in the Americas
Database
Maria V. Meneses1  Marco Salemi2  Carla Mavian2  Alberto Riva3 
[1] Emerging Pathogens Institute, University of Florida, Gainesville, USA;Emerging Pathogens Institute, University of Florida, Gainesville, USA;Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, USA;Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, USA;
关键词: Database;    Arbovirus;    Zika;    Dengue;    Chikungunya;   
DOI  :  10.1186/s12859-023-05433-7
 received in 2023-01-08, accepted in 2023-07-31,  发布年份 2023
来源: Springer
PDF
【 摘 要 】

BackgroundAccurate case report data are essential to understand arbovirus dynamics, including spread and evolution of arboviruses such as Zika, dengue and chikungunya viruses. Giving the multi-country nature of arbovirus epidemics in the Americas, these data are not often accessible or are reported at different time scales (weekly, monthly) from different sources.ResultsWe developed a publicly available and user-friendly database for arboviral case data in the Americas: ARCA. ARCA is a relational database that is hosted on the ARCA website. Users can interact with the database through the website by submitting queries through the website, which generates displays results and allows users to download these results in different, convenient file formats. Users can choose to view arboviral case data through a table which containscontaining the number of cases for a particular week, a plot, or through a map.ConclusionOur ARCA database is a useful tool for arboviral epidemiology research allowing for complex queries, data visualization, integration, and formatting.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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