The rise of big data in disease ecology. Issue 12 (December 2021)

• Record Type: Journal Article
• Authors: Doherty, Jean-François; Chai, Xuhong; Cope, Laurie E.; de Angeli Dutra, Daniela; Milotic, Marin; Ni, Steven; Park, Eunji; Filion, Antoine
• Is Part Of: Trends in parasitology. Volume 37:Issue 12(2021)
• Page Start: 1034
• Page End: 1037
• Publication Date: 2021-12
• Subjects: big data -- disease ecology -- MalAvi -- large-scale patterns -- macroecology -- One Health; Parasitology -- Periodicals; Parasitology -- Periodicals; Biology -- Periodicals; Parasitology; Biology; Parasitologie -- Périodiques; Online resources; 571.999
• DOI: 10.1016/j.pt.2021.09.003
• Languages: English
• ISSNs: 1471-4922

Abstract

Abstract : Big data have become readily available to explore patterns in large-scale disease ecology. However, the rate at which these public databases are exploited remains unknown. We highlight trends in big data usage in disease ecology during the past decade and encourage researchers to integrate big data into their study framework.