Cargando…
Modeling Spatio-temporal Malaria Risk Using Remote Sensing and Environmental Factors
BACKGROUND: Remote sensing have been intensively used across many disciplines, however, such information was limited in spatial epidemiology. METHODS: Two years (2009 & 2010) Landsat TM satellite data was used to develop vegetation, water bodies, air temperature and humidity criterion maps to mo...
Autores principales: | MAZHER, Muhammad Haris, IQBAL, Javed, MAHBOOB, Muhammad Ahsan, ATIF, Iqra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174038/ https://www.ncbi.nlm.nih.gov/pubmed/30320002 |
Ejemplares similares
-
Remote sensing of environmental risk factors for malaria in different geographic contexts
por: McMahon, Andrea, et al.
Publicado: (2021) -
The Role of Digital Technologies that Could Be Applied for Prescreening in the Mining Industry During the COVID-19 Pandemic
por: Atif, Iqra, et al.
Publicado: (2020) -
Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data
por: Machault, Vanessa, et al.
Publicado: (2010) -
Bayesian spatio-temporal modeling of malaria risk in Rwanda
por: Semakula, Muhammed, et al.
Publicado: (2020) -
Spatio-temporal analysis of environmental and climatic factors impacts on malaria morbidity in Ondo State, Nigeria
por: Ekpa, Dave Eleojo, et al.
Publicado: (2023)