The rise of big data in disease ecology.

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

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

Afiliação

Doherty JF; Department of Zoology, University of Otago, Dunedin, New Zealand.
Chai X; Department of Zoology, University of Otago, Dunedin, New Zealand.
Cope LE; Department of Zoology, University of Otago, Dunedin, New Zealand.
de Angeli Dutra D; Department of Zoology, University of Otago, Dunedin, New Zealand.
Milotic M; Department of Zoology, University of Otago, Dunedin, New Zealand.
Ni S; Department of Zoology, University of Otago, Dunedin, New Zealand.
Park E; Department of Zoology, University of Otago, Dunedin, New Zealand.
Filion A; Department of Zoology, University of Otago, Dunedin, New Zealand. Electronic address: afilion90@gmail.com.

Trends Parasitol ; 37(12): 1034-1037, 2021 12.

Article em En | MEDLINE | ID: mdl-34602364

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.

Assuntos

Big Data; Ecologia

Palavras-chave

MalAvi; One Health; big data; disease ecology; large-scale patterns; macroecology

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecologia / Big Data Idioma: En Revista: Trends Parasitol Assunto da revista: PARASITOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Nova Zelândia

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