Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/13129
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Khormi, Hassan | en |
dc.contributor.author | Kumar, Lalit | en |
dc.date.accessioned | 2013-07-26T14:17:00Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Journal of Food, Agriculture and Environment, 11(2), p. 14-17 | en |
dc.identifier.issn | 1459-0263 | en |
dc.identifier.issn | 1459-0255 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/13129 | - |
dc.description.abstract | Mosquito-borne diseases have spatial and temporal patterns, because mosquito density and longevity are based on a number of factors, such as temperature, precipitation and mosquito breeding habitats. Geographic Information System (GIS) and Remote Sensing (RS) and their related tools for mapping and modeling provide new and expanding opportunities for mosquito-borne diseases (MBD) research because they can display and model the temporal and spatial relationships between causes and diseases. | en |
dc.language | en | en |
dc.publisher | World Food RD Ltd | en |
dc.relation.ispartof | Journal of Food, Agriculture and Environment | en |
dc.title | Using geographic information system and remote sensing to study common mosquito-borne diseases in Saudi Arabia: A review | en |
dc.type | Journal Article | en |
dc.subject.keywords | Photogrammetry and Remote Sensing | en |
local.contributor.firstname | Hassan | en |
local.contributor.firstname | Lalit | en |
local.subject.for2008 | 090905 Photogrammetry and Remote Sensing | en |
local.subject.seo2008 | 920404 Disease Distribution and Transmission (incl. Surveillance and Response) | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | hkhormi2@une.edu.au | en |
local.profile.email | lkumar@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20130725-155834 | en |
local.publisher.place | Finland | en |
local.format.startpage | 14 | en |
local.format.endpage | 17 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 11 | en |
local.identifier.issue | 2 | en |
local.title.subtitle | A review | en |
local.contributor.lastname | Khormi | en |
local.contributor.lastname | Kumar | en |
dc.identifier.staff | une-id:hkhormi2 | en |
dc.identifier.staff | une-id:lkumar | en |
local.profile.orcid | 0000-0002-9205-756X | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:13340 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Using geographic information system and remote sensing to study common mosquito-borne diseases in Saudi Arabia | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.relation.url | http://world-food.net/using-geographic-information-system-and-remote-sensing-to-study-common-mosquito-borne-diseases-in-saudi-arabia-a-review/ | en |
local.search.author | Khormi, Hassan | en |
local.search.author | Kumar, Lalit | en |
local.uneassociation | Unknown | en |
local.year.published | 2013 | en |
local.subject.for2020 | 401304 Photogrammetry and remote sensing | en |
local.subject.seo2020 | 200404 Disease distribution and transmission (incl. surveillance and response) | en |
Appears in Collections: | Journal Article |
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