Modelling spatio-temporal patterns of disease for spatially misaligned data: An application on measles incidence data in Namibia from 2005-2014-Reference-Cited by-同舟云学术

Modelling spatio-temporal patterns of disease for spatially misaligned data: An application on measles incidence data in Namibia from 2005-2014

Published:2018-08-13 Issue:8 Volume:13 Page:e0201700
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Ntirampeba D.^ORCID,Neema I.,Kazembe L.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference26 articles.

1. WHO. WHO warns that progress towards eliminating measles has stalled. Media centre 2014. www.who.int/mediacentere/news/release/2014/eliminating-measles/en/ (2014).

2. WHO. Measles. Fact sheet NO 286 (2015). www.who.int/mediacentre/factsheets/fs28/en.

3. WHO. Reported measles cases and incidence rates by WHO member states 2013, 2014 as of 11February 2015. www.who.int/immunization/…/measlesreportedcasesbycountry.pdf (2015).

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