umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine.ORCID iD: 0000-0003-4030-0449
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Section of Sustainable Health.
Show others and affiliations
2019 (English)In: Emerging Infectious Diseases, ISSN 1080-6040, E-ISSN 1080-6059, Vol. 25, no 6, p. 1041-1049Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Centers for Disease Control and Prevention (CDC) , 2019. Vol. 25, no 6, p. 1041-1049
National Category
Infectious Medicine Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:umu:diva-161458DOI: 10.3201/eid2506.180138ISI: 000470776900001PubMedID: 31107221OAI: oai:DiVA.org:umu-161458DiVA, id: diva2:1336583
Funder
Swedish Research Council Formas, 2017-01300Available from: 2019-07-09 Created: 2019-07-09 Last updated: 2019-09-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records BETA

Rocklöv, JoacimRamadona, Aditya LiaSewe, Maquins OdhiamboLohr, Wolfgang

Search in DiVA

By author/editor
Rocklöv, JoacimRamadona, Aditya LiaSewe, Maquins OdhiamboLohr, Wolfgang
By organisation
Department of Public Health and Clinical MedicineSection of Sustainable Health
In the same journal
Emerging Infectious Diseases
Infectious MedicinePublic Health, Global Health, Social Medicine and Epidemiology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 66 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf