Details:

Alternative Title:
Emerg Infect Dis
Personal Author:
Rocklöv, Joacim ; Tozan, Yesim ; Ramadona, Aditya ; Sewe, Maquines O. ; Sudre, Bertrand ; ... More +
Rocklöv, Joacim ; Tozan, Yesim ; Ramadona, Aditya ; Sewe, Maquines O. ; Sudre, Bertrand ; Garrido, Jon ; de Saint Lary, Chiara Bellegarde ; Lohr, Wolfgang ; Semenza, Jan C. Less -
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.
Subject:
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Aedes Animals Big Data Chikungunya Fever/epidemiology Chikungunya Fever/history Chikungunya Fever/virology Chikungunya Fever Transmission Chikungunya Virus Climate Communicable Diseases, Emerging/epidemiology Communicable Diseases, Emerging/history Communicable Diseases, Emerging/transmission Communicable Diseases, Emerging/virology Data Mining Disease Outbreaks Geography, Medical History, 21st Century Humans Mosquito Vectors Population Dynamics Public Health Surveillance Seasons
Source:
Emerg Infect Dis. 25(6):1041-1049
Pubmed ID:
31107221
Pubmed Central ID:
PMC6537727
Document Type:
Journal Article
Genre:
Historical Article
Place as Subject:
Europe
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:9e2040ebd1092f2d2701786cbb7598bfe51465d09293f2cf16faa05e63628af1
Download URL:
https://stacks.cdc.gov/view/cdc/79394/cdc_79394_DS1.pdf
File Type:

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