Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017
| Autor: | Chiara de Bellegarde de Saint Lary, Yesim Tozan, Aditya Lia Ramadona, Bertrand Sudre, Maquins Odhiambo Sewe, Jon Garrido, Joacim Rocklöv, Jan C. Semenza, Wolfgang Lohr |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Microbiology (medical)
Big Data medicine.medical_specialty Aedes albopictus chikungunya Epidemiology Climate Big data education Population Dynamics lcsh:Medicine Mosquito Vectors medicine.disease_cause Communicable Diseases Emerging History 21st Century lcsh:Infectious and parasitic diseases Disease Outbreaks Public health surveillance Aedes medicine Animals Data Mining Humans lcsh:RC109-216 Public Health Surveillance Chikungunya Geography Medical biology business.industry Public health Environmental resource management lcsh:R biology.organism_classification Europe Infectious Diseases Geography arbovirus Perspective Chikungunya Fever data science Seasons business Chikungunya virus |
| Zdroj: | Emerging Infectious Diseases, Vol 25, Iss 6, Pp 1041-1049 (2019) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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