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ARCA: the interactive database for arbovirus reported cases in the Americas.
Meneses, Maria V; Riva, Alberto; Salemi, Marco; Mavian, Carla.
Afiliación
  • Meneses MV; Emerging Pathogens Institute, University of Florida, Gainesville, USA.
  • Riva A; Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, USA.
  • Salemi M; Emerging Pathogens Institute, University of Florida, Gainesville, USA. salemi@pathology.ufl.edu.
  • Mavian C; Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, USA. salemi@pathology.ufl.edu.
BMC Bioinformatics ; 24(1): 312, 2023 Aug 16.
Article en En | MEDLINE | ID: mdl-37587443
ABSTRACT

BACKGROUND:

Accurate 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.

RESULTS:

We 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.

CONCLUSION:

Our ARCA database is a useful tool for arboviral epidemiology research allowing for complex queries, data visualization, integration, and formatting.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Arbovirus / Epidemias / Virus Zika / Infección por el Virus Zika Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Arbovirus / Epidemias / Virus Zika / Infección por el Virus Zika Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos