ARCA: the interactive database for arbovirus reported cases in the Americas.
Arbovirus
Chikungunya
Database
Dengue
Zika
Journal
BMC bioinformatics
ISSN: 1471-2105
Titre abrégé: BMC Bioinformatics
Pays: England
ID NLM: 100965194
Informations de publication
Date de publication:
16 Aug 2023
16 Aug 2023
Historique:
received:
08
01
2023
accepted:
31
07
2023
medline:
18
8
2023
pubmed:
17
8
2023
entrez:
16
8
2023
Statut:
epublish
Résumé
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. 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. Our ARCA database is a useful tool for arboviral epidemiology research allowing for complex queries, data visualization, integration, and formatting.
Sections du résumé
BACKGROUND
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
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
CONCLUSIONS
Our ARCA database is a useful tool for arboviral epidemiology research allowing for complex queries, data visualization, integration, and formatting.
Identifiants
pubmed: 37587443
doi: 10.1186/s12859-023-05433-7
pii: 10.1186/s12859-023-05433-7
pmc: PMC10428600
doi:
Types de publication
Case Reports
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
312Informations de copyright
© 2023. BioMed Central Ltd., part of Springer Nature.
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