The rise of big data in disease ecology

Jean-François Doherty; Xuhong Chai; Laurie E Cope; Daniela de Angeli Dutra; Marin Milotic; Steven Ni; Eunji Park; Antoine Filion

doi:10.1016/j.pt.2021.09.003

The rise of big data in disease ecology

Jean-François Doherty
, Xuhong Chai
, Laurie E Cope
, Daniela de Angeli Dutra
, Marin Milotic
, Steven Ni
, Eunji Park
, Antoine Filion

University of Otago

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1034-1037
Number of pages	4
Journal	Trends in Parasitology
Volume	37
Issue number	12
Early online date	30 Sept 2021
DOIs	https://doi.org/10.1016/j.pt.2021.09.003
Publication status	Published - 1 Dec 2021
Externally published	Yes

Keywords

Big Data
Ecology

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10.1016/j.pt.2021.09.003

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title = "The rise of big data in disease ecology",

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.",

keywords = "Big Data, Ecology",

author = "Jean-Fran{\c c}ois Doherty and Xuhong Chai and Cope, \{Laurie E\} and \{de Angeli Dutra\}, Daniela and Marin Milotic and Steven Ni and Eunji Park and Antoine Filion",

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AU - Doherty, Jean-François

AU - Chai, Xuhong

AU - Cope, Laurie E

AU - de Angeli Dutra, Daniela

AU - Milotic, Marin

AU - Ni, Steven

AU - Park, Eunji

AU - Filion, Antoine

PY - 2021/12/1

Y1 - 2021/12/1

N2 - 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.

AB - 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.

KW - Big Data

KW - Ecology

U2 - 10.1016/j.pt.2021.09.003

DO - 10.1016/j.pt.2021.09.003

M3 - Article

C2 - 34602364

SN - 1471-4922

VL - 37

SP - 1034

EP - 1037

JO - Trends in Parasitology

JF - Trends in Parasitology

IS - 12

ER -

The rise of big data in disease ecology

Abstract

Keywords

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