Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery
<p>The study of malaria spatial epidemiology has benefited from recent advances in geographic information system and geostatistical modelling. Significant progress in earth observation technologies has led to the development of moderate, high and very high resolution imagery. Extensive literat...
Main Authors: | Federica Giardina, Jonas Franke, Penelope Vounatsou |
---|---|
Format: | Article |
Language: | English |
Published: |
PAGEPress Publications
2015-11-01
|
Series: | Geospatial Health |
Subjects: | |
Online Access: | http://www.geospatialhealth.net/index.php/gh/article/view/333 |
Similar Items
-
Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data
by: Sabelo Nick Dlamini, et al.
Published: (2015-06-01) -
Geostatistical modelling of the association between malaria and child growth in Africa
by: Benjamin Amoah, et al.
Published: (2018-02-01) -
Geostatistical analysis and mapping of malaria risk in children under 5 using point-referenced prevalence data in Ghana
by: Robert Yankson, et al.
Published: (2019-03-01) -
The use of remotely sensed environmental data in the study of malaria
by: Vanessa Machault, et al.
Published: (2011-05-01) -
Geostatistical modeling of malaria prevalence among under-five children in Rwanda
by: Jean Damascene Nzabakiriraho, et al.
Published: (2021-02-01)