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

Zhang Y, Shen Z, Ma C, Jiang C, Feng C, Shankar N, Yang P, Sun W, Wang Q - Int J Environ Res Public Health (2015)

Bottom Line: 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.Our results suggested that the spatial-temporal clustering of H7N9 in China between 2013 and 2014 is fundamentally different.

View Article: PubMed Central - PubMed

Affiliation: Beijing Center for Disease Prevention and Control (CDC), Beijing 100013, China. zps347@163.com.

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.

No MeSH data available.


Related in: MedlinePlus

Temporal-spatial clustering of human H7N9 cases detected by SatScan.
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ijerph-12-00816-f005: Temporal-spatial clustering of human H7N9 cases detected by SatScan.

Mentions: The SatScan results also showed that there were six clusters during the whole period. The primary cluster occurred during 13 March 2013 to 9 April 2013, while three secondary clusters occurred during the period of 19 February to 5 March 2013, 3 April to 16 April 2013 and 17 April to 7 May 2013. The remaining two secondary clusters were detected in the year of 2014, from early February to late March (Figure 5). Most of the secondary clusters except those that occurred in Guangzhou and Shenzhen (Figure 2) were identified in counties with no more than three cases during the whole study period.


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

Zhang Y, Shen Z, Ma C, Jiang C, Feng C, Shankar N, Yang P, Sun W, Wang Q - Int J Environ Res Public Health (2015)

Temporal-spatial clustering of human H7N9 cases detected by SatScan.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4306894&req=5

ijerph-12-00816-f005: Temporal-spatial clustering of human H7N9 cases detected by SatScan.
Mentions: The SatScan results also showed that there were six clusters during the whole period. The primary cluster occurred during 13 March 2013 to 9 April 2013, while three secondary clusters occurred during the period of 19 February to 5 March 2013, 3 April to 16 April 2013 and 17 April to 7 May 2013. The remaining two secondary clusters were detected in the year of 2014, from early February to late March (Figure 5). Most of the secondary clusters except those that occurred in Guangzhou and Shenzhen (Figure 2) were identified in counties with no more than three cases during the whole study period.

Bottom Line: 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.Our results suggested that the spatial-temporal clustering of H7N9 in China between 2013 and 2014 is fundamentally different.

View Article: PubMed Central - PubMed

Affiliation: Beijing Center for Disease Prevention and Control (CDC), Beijing 100013, China. zps347@163.com.

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.

No MeSH data available.


Related in: MedlinePlus