Cargando…
Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach
BACKGROUND: Brucellosis is a common zoonotic disease and remains a major burden in both human and domesticated animal populations worldwide. Few geographic studies of human Brucellosis have been conducted, especially in China. Inner Mongolia of China is considered an appropriate area for the study o...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319220/ https://www.ncbi.nlm.nih.gov/pubmed/25644986 http://dx.doi.org/10.1186/s12879-015-0763-9 |
_version_ | 1782355926046474240 |
---|---|
author | Jia, Peng Joyner, Andrew |
author_facet | Jia, Peng Joyner, Andrew |
author_sort | Jia, Peng |
collection | PubMed |
description | BACKGROUND: Brucellosis is a common zoonotic disease and remains a major burden in both human and domesticated animal populations worldwide. Few geographic studies of human Brucellosis have been conducted, especially in China. Inner Mongolia of China is considered an appropriate area for the study of human Brucellosis due to its provision of a suitable environment for animals most responsible for human Brucellosis outbreaks. METHODS: The aggregated numbers of human Brucellosis cases from 1951 to 2005 at the municipality level, and the yearly numbers and incidence rates of human Brucellosis cases from 2006 to 2010 at the county level were collected. Geographic Information Systems (GIS), remote sensing (RS) and ecological niche modeling (ENM) were integrated to study the distribution of human Brucellosis cases over 1951–2010. RESULTS: Results indicate that areas of central and eastern Inner Mongolia provide a long-term suitable environment where human Brucellosis outbreaks have occurred and can be expected to persist. Other areas of northeast China and central Mongolia also contain similar environments. CONCLUSIONS: This study is the first to combine advanced spatial statistical analysis with environmental modeling techniques when examining human Brucellosis outbreaks and will help to inform decision-making in the field of public health. |
format | Online Article Text |
id | pubmed-4319220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43192202015-02-07 Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach Jia, Peng Joyner, Andrew BMC Infect Dis Research Article BACKGROUND: Brucellosis is a common zoonotic disease and remains a major burden in both human and domesticated animal populations worldwide. Few geographic studies of human Brucellosis have been conducted, especially in China. Inner Mongolia of China is considered an appropriate area for the study of human Brucellosis due to its provision of a suitable environment for animals most responsible for human Brucellosis outbreaks. METHODS: The aggregated numbers of human Brucellosis cases from 1951 to 2005 at the municipality level, and the yearly numbers and incidence rates of human Brucellosis cases from 2006 to 2010 at the county level were collected. Geographic Information Systems (GIS), remote sensing (RS) and ecological niche modeling (ENM) were integrated to study the distribution of human Brucellosis cases over 1951–2010. RESULTS: Results indicate that areas of central and eastern Inner Mongolia provide a long-term suitable environment where human Brucellosis outbreaks have occurred and can be expected to persist. Other areas of northeast China and central Mongolia also contain similar environments. CONCLUSIONS: This study is the first to combine advanced spatial statistical analysis with environmental modeling techniques when examining human Brucellosis outbreaks and will help to inform decision-making in the field of public health. BioMed Central 2015-02-03 /pmc/articles/PMC4319220/ /pubmed/25644986 http://dx.doi.org/10.1186/s12879-015-0763-9 Text en © Jia and Joyner; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Jia, Peng Joyner, Andrew Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach |
title | Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach |
title_full | Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach |
title_fullStr | Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach |
title_full_unstemmed | Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach |
title_short | Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach |
title_sort | human brucellosis occurrences in inner mongolia, china: a spatio-temporal distribution and ecological niche modeling approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319220/ https://www.ncbi.nlm.nih.gov/pubmed/25644986 http://dx.doi.org/10.1186/s12879-015-0763-9 |
work_keys_str_mv | AT jiapeng humanbrucellosisoccurrencesininnermongoliachinaaspatiotemporaldistributionandecologicalnichemodelingapproach AT joynerandrew humanbrucellosisoccurrencesininnermongoliachinaaspatiotemporaldistributionandecologicalnichemodelingapproach |