Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Developing a statistical dengue risk prediction model for the state of delhi based on various environmental variables
Department of Natural Resources, TERI University, New Delhi.ORCID-id: 0000-0002-2502-6384
Department of Natural Resources, TERI University, New Delhi.
Department of Natural Resources, TERI University.
Department of Natural Resources, TERI University.
2012 (Engelska)Ingår i: International Journal of Geoinformatics, ISSN 1686-6576, Vol. 8, nr 3, s. 45-52Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This work investigates dengue affected localities of Delhi using static and dynamic environmental factors and their possible spatial relationships. The static variables include soil drainage, built-up area and vegetation. The dynamic variables represent seasonal precipitation and temperature data for past hundred years. Significance test (t-test) provided deterministic evidence of variable importance to model. Weighted sum and quantile classification helped to create a final risk map. The model indicated non-uniform distribution of risk across the state and showed elevated risk in urban built-up areas mainly alongside the river Yamuna. Three years (2007, 2008 and 2009) data for confirmed dengue cases for affected localities were obtained from Municipal Corporation of Delhi (MCD) for validation. 57.98% of the reported cases were observed under high risk category as modeled in this study. Modeling results indicate that environmental factors like Precipitation, temperature, soil drainage, built-up area and vegetation govern mosquito breeding and are correlated with human dengue risk The approach verified that dengue risk can be modeled at the state level and can be modified for risk predictions of other vector-borne diseases in varied ecological regions

Ort, förlag, år, upplaga, sidor
2012. Vol. 8, nr 3, s. 45-52
Nationell ämneskategori
Rymd- och flygteknik
Forskningsämne
Atmosfärsvetenskap
Identifikatorer
URN: urn:nbn:se:ltu:diva-12246Lokalt ID: b5a809ed-dc88-40ef-9b47-8d3bc9d16fd5OAI: oai:DiVA.org:ltu-12246DiVA, id: diva2:985196
Anmärkning
Upprättat; 2012; 20160705 (andbra)Tillgänglig från: 2016-09-29 Skapad: 2016-09-29 Senast uppdaterad: 2017-11-24Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Personposter BETA

Bhardwaj, Anshuman

Sök vidare i DiVA

Av författaren/redaktören
Bhardwaj, Anshuman
Rymd- och flygteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 87 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf