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  • Bota, AndrásUmeå universitet,Luleå tekniska universitet,EISLAB,Integrated Science Lab, Department of Physics, Umeå University, 90187, Umeå, Sweden,Institutionen för fysik,Embedded Intelligent Systems Lab, Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden (författare)

Socioeconomic and environmental patterns behind H1N1 spreading in Sweden

  • Artikel/kapitelEngelska2021

Förlag, utgivningsår, omfång ...

  • 2021-11-18
  • Springer Nature,2021
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:ltu-87998
  • https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-87998URI
  • https://doi.org/10.1038/s41598-021-01857-4DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-189934URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Validerad;2021;Nivå 2;2021-11-23 (johcin)
  • Identifying the critical factors related to influenza spreading is crucial in predicting and mitigating epidemics. Specifically, uncovering the relationship between epidemic onset and various risk indicators such as socioeconomic, mobility and climate factors can reveal locations and travel patterns that play critical roles in furthering an outbreak. We study the 2009 A(H1N1) influenza outbreaks in Sweden’s municipalities between 2009 and 2015 and use the Generalized Inverse Infection Method (GIIM) to assess the most significant contributing risk factors. GIIM represents an epidemic spreading process on a network: nodes correspond to geographical objects, links indicate travel routes, and transmission probabilities assigned to the links guide the infection process. Our results reinforce existing observations that the influenza outbreaks considered in this study were driven by the country’s largest population centers, while meteorological factors also contributed significantly. Travel and other socioeconomic indicators have a negligible effect. We also demonstrate that by training our model on the 2009 outbreak, we can predict the epidemic onsets in the following five seasons with high accuracy.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Holmberg, Martin,1947-Umeå universitet,Institutionen för fysik,Integrated Science Lab, Department of Physics, Umeå University, 90187, Umeå, Sweden(Swepub:umu)maho8219 (författare)
  • Gardner, LaurenDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA,Department of Civil and Systems Engineering, Johns Hopkins University, MD, Baltimore, United States (författare)
  • Rosvall, MartinUmeå universitet,Institutionen för fysik,Integrated Science Lab, Department of Physics, Umeå University, 90187, Umeå, Sweden(Swepub:umu)maro0001 (författare)
  • Luleå tekniska universitetEISLAB (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Scientific Reports: Springer Nature112045-2322

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