Spatiotemporal mapping and detection of mortality cluster due to cardiovascular disease with Bayesian hierarchical framework using integrated nested Laplace approximation: A discussion of suitable statistic applications in Kersa, Oromia, Ethiopia

Spatiotemporal mapping and detection of mortality cluster due to cardiovascular disease with Bayesian hierarchical framework using integrated nested Laplace approximation: A discussion of suitable statistic applications in Kersa, Oromia, Ethiopia

Cardiovascular diseases (CVDs) are the leading cause of death globally and the number one cause of death globally. Over 75% of CVD deaths take place in low- and middle-income countries. Hence, comprehensive information about the spatio-temporal distribution of mortality due to cardio vascular diseas...

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Bibliographic Details
Main Authors: Melkamu Dedefo, Henry Mwambi, Sileshi Fanta, Nega Assefa
Format: Article
Language:English
Published: PAGEPress Publications 2018-11-01
Series:Geospatial Health
Subjects:
Cardiovascular diseases
Integrated nested Laplace approximations
Second order random walk
Bayesian hierarchical framework
Spatio-temporal models
Kersa HDSS
Online Access:https://www.geospatialhealth.net/index.php/gh/article/view/681

Internet

https://www.geospatialhealth.net/index.php/gh/article/view/681

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