Cluster of human infections with avian influenza a (H7N9) cases: A temporal and spatial analysis

Yi Zhang; Zhixiong Shen; Chunna Ma; Chengsheng Jiang; Cindy Feng; Nivedita Shankar; Peng Yang; Wenjie Sun; Quanyi Wang

doi:10.3390/ijerph120100816

Cluster of human infections with avian influenza a (H7N9) cases: A temporal and spatial analysis

Yi Zhang, Zhixiong Shen, Chunna Ma, Chengsheng Jiang, Cindy Feng, Nivedita Shankar, Peng Yang, Wenjie Sun, Quanyi Wang

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

Abstract

Objectives: This study aims to describe the spatial and temporal characteristics of human infections with H7N9 virus in China using data from February 2013 to March 2014 from the websites of every province’s Population and Family Planning Commission. Methods: A human infection with H7N9 virus dataset was summarized by county to analyze its spatial clustering, and by date of illness onset to analyze its space-time clustering using the ESRI® Geographic Information System (GIS) software ArcMap™ 10.1 and SatScan. Results: Based on active surveillance data, the distribution map of H7N9 cases shows that compared to the rest of China, the areas from near the Yangtze River delta (YRD) to farther south around the Pearl River delta (PRD) had the highest densities of H7N9 cases. The case data shows a strong space-time clustering in the areas on and near the YRD from 26 March to 18 April 2013 and a weak space-time clustering only in the areas on and near the PRD between 3 and 4 February 2014. However, for the rest of the study period, H7N9 cases were spatial-temporally randomly distributed. Conclusions: Our results suggested that the spatial-temporal clustering of H7N9 in China between 2013 and 2014 is fundamentally different.

Original language	English
Pages (from-to)	816-828
Number of pages	13
Journal	International Journal of Environmental Research and Public Health
Volume	12
Issue number	1
DOIs	https://doi.org/10.3390/ijerph120100816
State	Published - 15 Jan 2015
Externally published	Yes

Keywords

Clustering
GIS
H7N9
Influenza A
SatScan
Space-time

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10.3390/ijerph120100816

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abstract = "Objectives: This study aims to describe the spatial and temporal characteristics of human infections with H7N9 virus in China using data from February 2013 to March 2014 from the websites of every province{\textquoteright}s Population and Family Planning Commission. Methods: A human infection with H7N9 virus dataset was summarized by county to analyze its spatial clustering, and by date of illness onset to analyze its space-time clustering using the ESRI{\textregistered} Geographic Information System (GIS) software ArcMap{\texttrademark} 10.1 and SatScan. Results: Based on active surveillance data, the distribution map of H7N9 cases shows that compared to the rest of China, the areas from near the Yangtze River delta (YRD) to farther south around the Pearl River delta (PRD) had the highest densities of H7N9 cases. The case data shows a strong space-time clustering in the areas on and near the YRD from 26 March to 18 April 2013 and a weak space-time clustering only in the areas on and near the PRD between 3 and 4 February 2014. However, for the rest of the study period, H7N9 cases were spatial-temporally randomly distributed. Conclusions: Our results suggested that the spatial-temporal clustering of H7N9 in China between 2013 and 2014 is fundamentally different.",

keywords = "Clustering, GIS, H7N9, Influenza A, SatScan, Space-time",

author = "Yi Zhang and Zhixiong Shen and Chunna Ma and Chengsheng Jiang and Cindy Feng and Nivedita Shankar and Peng Yang and Wenjie Sun and Quanyi Wang",

note = "Publisher Copyright: {\textcopyright} 2015 by the authors; licensee MDPI, Basel, Switzerland.",

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T1 - Cluster of human infections with avian influenza a (H7N9) cases

T2 - A temporal and spatial analysis

AU - Zhang, Yi

AU - Shen, Zhixiong

AU - Ma, Chunna

AU - Jiang, Chengsheng

AU - Feng, Cindy

AU - Shankar, Nivedita

AU - Yang, Peng

AU - Sun, Wenjie

AU - Wang, Quanyi

PY - 2015/1/15

Y1 - 2015/1/15

N2 - Objectives: This study aims to describe the spatial and temporal characteristics of human infections with H7N9 virus in China using data from February 2013 to March 2014 from the websites of every province’s Population and Family Planning Commission. Methods: A human infection with H7N9 virus dataset was summarized by county to analyze its spatial clustering, and by date of illness onset to analyze its space-time clustering using the ESRI® Geographic Information System (GIS) software ArcMap™ 10.1 and SatScan. Results: Based on active surveillance data, the distribution map of H7N9 cases shows that compared to the rest of China, the areas from near the Yangtze River delta (YRD) to farther south around the Pearl River delta (PRD) had the highest densities of H7N9 cases. The case data shows a strong space-time clustering in the areas on and near the YRD from 26 March to 18 April 2013 and a weak space-time clustering only in the areas on and near the PRD between 3 and 4 February 2014. However, for the rest of the study period, H7N9 cases were spatial-temporally randomly distributed. Conclusions: Our results suggested that the spatial-temporal clustering of H7N9 in China between 2013 and 2014 is fundamentally different.

AB - Objectives: This study aims to describe the spatial and temporal characteristics of human infections with H7N9 virus in China using data from February 2013 to March 2014 from the websites of every province’s Population and Family Planning Commission. Methods: A human infection with H7N9 virus dataset was summarized by county to analyze its spatial clustering, and by date of illness onset to analyze its space-time clustering using the ESRI® Geographic Information System (GIS) software ArcMap™ 10.1 and SatScan. Results: Based on active surveillance data, the distribution map of H7N9 cases shows that compared to the rest of China, the areas from near the Yangtze River delta (YRD) to farther south around the Pearl River delta (PRD) had the highest densities of H7N9 cases. The case data shows a strong space-time clustering in the areas on and near the YRD from 26 March to 18 April 2013 and a weak space-time clustering only in the areas on and near the PRD between 3 and 4 February 2014. However, for the rest of the study period, H7N9 cases were spatial-temporally randomly distributed. Conclusions: Our results suggested that the spatial-temporal clustering of H7N9 in China between 2013 and 2014 is fundamentally different.

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KW - Influenza A

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Cluster of human infections with avian influenza a (H7N9) cases: A temporal and spatial analysis

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Keywords

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