Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio-temporally Referenced Prevalence Surveys-Reference-Cited by-同舟云学术

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Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio-temporally Referenced Prevalence Surveys

Published:2018-04-25 Issue:3 Volume:86 Page:571-597
ISSN:0306-7734
Container-title:International Statistical Review
language:en
Short-container-title:International Statistical Review

Author:

Giorgi Emanuele¹^ORCID,Diggle Peter J.¹,Snow Robert W.²³,Noor Abdisalan M.²

Affiliation:

1. Lancaster Medical School; Lancaster University; Lancaster UK

2. Population and Health Theme; Kenya Medical Research Institute - Wellcome Trust Research Programme; Nairobi Kenya

3. Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine; University of Oxford; Oxford UK

Funder

Principal Fellow by the Wellcome Trust, UK

Wellcome Trust

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/insr.12268/fullpdf

Reference57 articles.

1. Mapping malaria transmission intensity in Malawi, 2000-2010.;Bennett;Am. J. Trop. Med. Hyg.,2013

2. Practical likelihood analysis for spatial generalized linear mixed models;Bonat;Environmetrics,2016

3. Adaptive geostatistical design and analysis for prevalence surveys;Chipeta;Spatial Stat.,2016

4. Monte Carlo maximum likelihood in model-based geostatistics;Christensen;J. Comput. Graphical Stat.,2004

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