Spatial analysis of land cover determinants of malaria incidence in the Ashanti Region, Ghana

Malaria belongs to the infectious diseases with the highest morbidity and mortality worldwide. As a vector-borne disease malaria distribution is strongly influenced by environmental factors. The aim of this study was to investigate the association between malaria risk and different land cover classe...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one 2011-03, Vol.6 (3), p.e17905
Hauptverfasser:	Krefis, Anne Caroline, Schwarz, Norbert Georg, Nkrumah, Bernard, Acquah, Samuel, Loag, Wibke, Oldeland, Jens, Sarpong, Nimako, Adu-Sarkodie, Yaw, Ranft, Ulrich, May, Jürgen
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Analysis Biology Child Child welfare Childhood Children Classification Collaboration Computer Science Culicidae Cultivation Decision trees Disease Earth Sciences Ecosystem Environmental aspects Environmental factors Epidemiology Geographic information systems Geography Ghana - epidemiology Health aspects Health risks Hospitals Humans Image resolution Incidence Infectious diseases Information technology Inhabitants Land Land cover Land use Likelihood Functions Malaria Malaria - epidemiology Medical research Medicine Morbidity Mortality Mosquitoes Musa Parasites Poisson density functions Population Density Regions Regression Analysis Remote sensing Risk Rural areas Rural Population - statistics & numerical data Satellite imagery Social and Behavioral Sciences Socioeconomic factors Spatial analysis Statistical analysis Statistics, Nonparametric Studies Towns Tropical diseases Vector-borne diseases Vectors (Biology) Villages
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	Malaria belongs to the infectious diseases with the highest morbidity and mortality worldwide. As a vector-borne disease malaria distribution is strongly influenced by environmental factors. The aim of this study was to investigate the association between malaria risk and different land cover classes by using high-resolution multispectral Ikonos images and Poisson regression analyses. The association of malaria incidence with land cover around 12 villages in the Ashanti Region, Ghana, was assessed in 1,988 children
ISSN:	1932-6203 1932-6203
DOI:	10.1371/journal.pone.0017905