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

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

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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.

Iaith wreiddiol	Saesneg
Tudalennau (o-i)	1034-1037
Nifer y tudalennau	4
Cyfnodolyn	Trends in Parasitology
Cyfrol	37
Rhif cyhoeddi	12
Dyddiad ar-lein cynnar	30 Medi 2021
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1016/j.pt.2021.09.003
Statws	Cyhoeddwyd - 1 Rhag 2021
Cyhoeddwyd yn allanol	Ie

Mynediad at Ddogfen

10.1016/j.pt.2021.09.003

Dyfynnu hyn

@article{0c02bab46a4142efa982dfefd1897ff3,

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",

year = "2021",

month = dec,

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doi = "10.1016/j.pt.2021.09.003",

language = "English",

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journal = "Trends in Parasitology",

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T1 - The rise of big data in disease ecology

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

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Mynediad at Ddogfen

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