Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: A Bayesian geoadditive perspective-Reference-Cited by-同舟云学术

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Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: A Bayesian geoadditive perspective

Published:2022-02-07 Issue:2 Volume:8 Page:264-281
ISSN:2373-7484
Container-title:Communications in Statistics: Case Studies, Data Analysis and Applications
language:en
Short-container-title:Communications in Statistics: Case Studies, Data Analysis and Applications

Author:

Gayawan Ezra¹,Egbon Osafu Augustine²,Adebayo Samson B.³

Affiliation:

1. Department of Statistics, Federal University of Technology, Akure, Nigeria;;

2. Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil;;

3. National Agency for Food and Drug Administration and Control, Abuja, Nigeria

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics and Probability,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/23737484.2022.2031345

Reference35 articles.

1. Where there is no policy: governing the posting and transfer of primary health care workers in Nigeria

2. Joint modeling of Anaemia and Malaria in children under five in Nigeria

3. Bayesian image restoration, with two applications in spatial statistics

4. Spatial and Spatio-temporal Bayesian Models with R-INLA

5. Latent Variables in Psychology and the Social Sciences

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