Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017

Rocklöv, Joacim; Tozan, Yesim; Ramadona, Aditya; Sewe, Maquines O.; Sudre, Bertrand; Garrido, Jon; de Saint Lary, Chiara Bellegarde; Lohr, Wolfgang; Semenza, Jan C.

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Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017

Published Date:

Jun 2019

Source:

Emerg Infect Dis. 25(6):1041-1049

Language:

English

[PDF-3.27 MB]

Details:

Personal Authors:

Rocklöv, Joacim ; Tozan, Yesim ; Ramadona, Aditya ; Sewe, Maquines O. ; Sudre, Bertrand ; ... More ▼

Keywords:

[+]

Pubmed ID:

31107221

Pubmed Central ID:

PMC6537727

Description:

With regard to fully harvesting the potential of big data, public health lags behind other fields. To determine this potential, we applied big data (air passenger volume from international areas with active chikungunya transmission, Twitter data, and vectorial capacity estimates of Aedes albopictus mosquitoes) to the 2017 chikungunya outbreaks in Europe to assess the risks for virus transmission, virus importation, and short-range dispersion from the outbreak foci. We found that indicators based on voluminous and velocious data can help identify virus dispersion from outbreak foci and that vector abundance and vectorial capacity estimates can provide information on local climate suitability for mosquitoborne outbreaks. In contrast, more established indicators based on Wikipedia and Google Trends search strings were less timely. We found that a combination of novel and disparate datasets can be used in real time to prevent and control emerging and reemerging infectious diseases.

Document Type:

Journal Article

Collection(s):

Emerging Infectious Diseases

Main Document Checksum:

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