Spatial correlation of tuberculosis (TB) incidents to the mODIS LST biophysical Signature of African countries

dc.contributor.author	Τσάτσαρης, Ανδρέας	el
dc.contributor.author	Μηλιαρέσης, Γιώργος Χ.	el
dc.date.accessioned	2015-01-19T11:04:49Z
dc.date.available	2015-01-19T11:04:49Z
dc.date.issued	2015-01-19
dc.identifier.uri	http://hdl.handle.net/11400/4245
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	World Academic Publishing	el
dc.subject	Environmental health
dc.subject	Geographic information systems
dc.subject	Land surface temperature
dc.subject	MODIS (Spectroradiometer)
dc.subject	Πνεύμονες Ασθένειες
dc.subject	Βιοφυσική
dc.subject	Αφρική
dc.subject	Γεωπληροφορική
dc.title	Spatial correlation of tuberculosis (TB) incidents to the mODIS LST biophysical Signature of African countries	en
heal.type	journalArticle
heal.classification	Topography
heal.classification	Geodesy
heal.classification	Τοπογραφία
heal.classification	Γεωδαισία
heal.classificationURI	http://skos.um.es/unescothes/C04078
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85053969
heal.classificationURI	N/A-Τοπογραφία
heal.classificationURI	N/A-Γεωδαισία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh90001880
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2007004873
heal.identifier.secondary	ISSN: 2226-6437(Print)
heal.identifier.secondary	ISSN: 2224-7777(Online)
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας, Σχολή Τεχνολογικών Εφαρμογών, Τμήμα Μηχανικών Πληροφορικής και Μηχανικών Τοπογραφίας & Γεωπληροφορικής	el
heal.publicationDate	2013
heal.bibliographicCitation	Tsatsaris, A. and Miliaresis, G.,CH. (2013). Spatial correlation of tuberculosis (TB) incidents to the mODIS LST biophysical Signature of African countries.IJEP 1(1) 2013 pp. 49-57. World Academic Publishing .Available from: http://www.ij-ep.org/paperInfo.aspx?ID=11	el
heal.abstract	Monthly night averaged land surface temperature (LST) imagery is analyzed throughout a year-period (2008), in an attempt to capture the seasonal variability of LST, and parametrically represent and classify the African Countries. Segmentation outlined in an objective way the temporal variation of LST during the 2008, grouped in 9 zones with distinct spatial distribution, each one presenting a distinct annual variation of monthly LST. Tuberculosis incidence per county for the year 2008 was correlated to the percentage areal occurrence of the 9 biophysical zones. More specifically statistical analysis indicates that there is an increase of TB-IR per country if the percent occurrence of either zone 4 or zone 6 is increased. Such evidence was already known, but it is the first time that this correlation was quantified on the basis of high resolution LST data comparable to the previous studies that were based on the very sparse meteorological stations network. The MODIS multi-temporal LST data can assist the modeling of the disease risk and disease spatial distribution as well as environmental modeling, climatic change studies at moderate resolution/country level scale.	en
heal.sponsor	World Academic Publishing	en
heal.publisher	World Academic Publishing	en
heal.journalName	IJEP	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true