Bayesian spatial modelling of Ebola outbreaks in Democratic Republic of Congo through the INLA‐SPDE approach-Reference-Cited by-同舟云学术

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Bayesian spatial modelling of Ebola outbreaks in Democratic Republic of Congo through the INLA‐SPDE approach

Published:2021-03-29 Issue:5 Volume:68 Page:443-451
ISSN:1863-1959
Container-title:Zoonoses and Public Health
language:en
Short-container-title:Zoonoses Public Health

Author:

Adegboye Oyelola¹²^ORCID,Gayawan Ezra³,James Adewale⁴,Adegboye Adedayo⁵,Elfaki Faiz⁶

Affiliation:

1. Public Health & Tropical Medicine College of Public Health, Medical and Veterinary Sciences James Cook University QLD Australia

2. Australian Institute of Tropical Health and Medicine James Cook University QLD Australia

3. Biostatistics and Spatial Statistics Laboratory Department of Statistics Federal University of Technology Akure Nigeria

4. Division of Mathematics American University of Nigeria Yola

5. Kuehne Nagel IT Services AS Tallinn Estonia

6. Department of Mathematics, Physics and Statistics Qatar University Doha Qatar

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Veterinary,General Immunology and Microbiology,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/zph.12828

Reference39 articles.

1. A spatial–temporal study of dengue in Peninsular Malaysia for the year 2017 in two different space–time model

2. Causes and patterns of morbidity and mortality in Afghanistan: Joint estimation of multiple causes in the neonatal period

3. Analysis of spatial data with a nested correlation structure

4. Local Indicators of Spatial Association-LISA

5. Spatiotemporal dynamics and risk factors for human Leptospirosis in Brazil

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