Open AccessSpatio‐temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014
Author(s) -
Li Ke,
Lin GuoZhen,
Li Yan,
Dong Hang,
Xu Huan,
Song ShaoFang,
Liang YingRu,
Liu HuaZhang
Publication year - 2017
Publication title -
cancer communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.119
H-Index - 53
ISSN - 2523-3548
DOI - 10.1186/s40880-017-0231-6
Subject(s) - incidence (geometry) , colorectal cancer , cluster (spacecraft) , cancer registry , geography , demography , cancer , population , distribution (mathematics) , medicine , cartography , environmental health , physics , sociology , computer science , optics , programming language , mathematical analysis , mathematics
Abstract Introduction Colorectal cancer (CRC) is a common type of neoplasm. This study examined the spatio‐temporal distribution of the CRC incidence in Guangzhou during 2010–2014. Methods Colorectal cancer incidence data were obtained from the Guangzhou Cancer Registry System. Spatial autocorrelation analysis and a retrospective spatio‐temporal scan were used to assess the spatio‐temporal cluster distribution of CRC cases. Results A total of 14,618 CRC cases were registered in Guangzhou during 2010–2014, with a crude incidence of 35.56/100,000 and an age‐standardized rate of incidence by the world standard population (ASRIW) of 23.58/100,000. The crude incidence increased by 19.70% from 2010 (32.88/100,000) to 2014 (39.36/100,000) with an average annual percentage change (AAPC) of 4.33%. The AAPC of ASRIW was not statistically significant. The spatial autocorrelation analysis revealed a CRC incidence hot spot in central urban areas in Guangzhou City, which included 25 streets in southwestern Baiyun District, northwestern Haizhu District, and the border region between Liwan and Yuexiu Districts. Three high‐ and five low‐incidence clusters were identified according to spatio‐temporal scan of CRC incidence clusters. The high‐incidence clusters were located in central urban areas including the border regions between Baiyun, Haizhu, Liwan, and Yuexiu Districts. Conclusions This study revealed the spatio‐temporal cluster pattern of the incidence of CRC in Guangzhou. This information can inform allocation of health resources for CRC screening.