Spatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.

Highly pathogenic avian influenza subtype H5N1 is a zoonotic disease and control of the disease is one of the highest priority in global health. Disease surveillance systems are valuable data sources for various researches and management projects, but the data quality has not been paid much attentio...

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Autores principales:	Zhijie Zhang, Dongmei Chen, Yue Chen, Wenbao Liu, Lei Wang, Fei Zhao, Baodong Yao
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/800c49ede0fc4377b13397ccf8929f95
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spelling	oai:doaj.org-article:800c49ede0fc4377b13397ccf8929f952021-11-18T07:01:30ZSpatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.1932-620310.1371/journal.pone.0015314https://doaj.org/article/800c49ede0fc4377b13397ccf8929f952010-12-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21187964/?tool=EBIhttps://doaj.org/toc/1932-6203Highly pathogenic avian influenza subtype H5N1 is a zoonotic disease and control of the disease is one of the highest priority in global health. Disease surveillance systems are valuable data sources for various researches and management projects, but the data quality has not been paid much attention in previous studies. Based on data from two commonly used databases (Office International des Epizooties (OIE) and Food and Agriculture Organization of the United Nations (FAO)) of global HPAI H5N1 outbreaks during the period of 2003-2009, we examined and compared their patterns of temporal, spatial and spatio-temporal distributions for the first time. OIE and FAO data showed similar trends in temporal and spatial distributions if they were considered separately. However, more advanced approaches detected a significant difference in joint spatio-temporal distribution. Because of incompleteness for both OIE and FAO data, an integrated dataset would provide a more complete picture of global HPAI H5N1 outbreaks. We also displayed a mismatching profile of global HPAI H5N1 outbreaks and found that the degree of mismatching was related to the epidemic severity. The ideas and approaches used here to assess spatio-temporal data on the same disease from different sources are useful for other similar studies.Zhijie ZhangDongmei ChenYue ChenWenbao LiuLei WangFei ZhaoBaodong YaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 12, p e15314 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhijie Zhang Dongmei Chen Yue Chen Wenbao Liu Lei Wang Fei Zhao Baodong Yao Spatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.
description	Highly pathogenic avian influenza subtype H5N1 is a zoonotic disease and control of the disease is one of the highest priority in global health. Disease surveillance systems are valuable data sources for various researches and management projects, but the data quality has not been paid much attention in previous studies. Based on data from two commonly used databases (Office International des Epizooties (OIE) and Food and Agriculture Organization of the United Nations (FAO)) of global HPAI H5N1 outbreaks during the period of 2003-2009, we examined and compared their patterns of temporal, spatial and spatio-temporal distributions for the first time. OIE and FAO data showed similar trends in temporal and spatial distributions if they were considered separately. However, more advanced approaches detected a significant difference in joint spatio-temporal distribution. Because of incompleteness for both OIE and FAO data, an integrated dataset would provide a more complete picture of global HPAI H5N1 outbreaks. We also displayed a mismatching profile of global HPAI H5N1 outbreaks and found that the degree of mismatching was related to the epidemic severity. The ideas and approaches used here to assess spatio-temporal data on the same disease from different sources are useful for other similar studies.
format	article
author	Zhijie Zhang Dongmei Chen Yue Chen Wenbao Liu Lei Wang Fei Zhao Baodong Yao
author_facet	Zhijie Zhang Dongmei Chen Yue Chen Wenbao Liu Lei Wang Fei Zhao Baodong Yao
author_sort	Zhijie Zhang
title	Spatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.
title_short	Spatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.
title_full	Spatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.
title_fullStr	Spatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.
title_full_unstemmed	Spatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.
title_sort	spatio-temporal data comparisons for global highly pathogenic avian influenza (hpai) h5n1 outbreaks.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/800c49ede0fc4377b13397ccf8929f95
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_version_	1718424052477984768

Spatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.

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