Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012
Bibliographic Data
| ID | 15509245 |
|---|---|
| Authors | Kang Ma (0000-0002-3582-4224, Anhui Normal University), Y S Lin (0000-0001-5905-8336, Anhui Normal University), Yuesheng Lin (Anhui Normal University), Xiaopeng Zhang (0000-0002-5409-6293, Anhui Provincial Center for Disease Control and Prevention), Fengman Fang (0000-0003-2219-1453, Anhui Normal University, corresponding author), Yong Zhang (0000-0001-6711-5791, University of Alabama), Jiajia Li (0000-0003-1706-8987, Anhui Provincial Center for Disease Control and Prevention), Youru Yao (0000-0001-5959-9247, Anhui Normal University), Lei Ge (0000-0001-7271-3550, Anhui Normal University), Huarong Tan (Anhui Normal University), Fei Wang (0000-0003-0860-6317, Anhui Normal University) |
| Year | 2022 |
| Volume | 19 |
| Issue | 12 |
| Pages | 7451-7451 |
| Publication date | 2022-06-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19127451 |
| PMID | 35742697 |
| OpenAlex | W4283021408 |
| Language | EN |
| References cited | 23 |
This study aims to analyze the spatiotemporal distribution and evolution of digestive tract cancer (DTC) in Lujiang County, China by using the geographic information system technology. Results of this study are expected to provide a scientific basis for effective prevention and control of DTC. The data on DTC cases in Lujiang County, China, were downloaded from the Data Center of the Center for Disease Control and Prevention in Hefei, Anhui Province, China, while the demographic data were sourced from the demographic department in China. Systematic statistical analyses, including the spatial empirical Bayes smoothing, spatial autocorrelation, hotspot statistics, and Kulldorff's retrospective space-time scan, were used to identify the spatial and spatiotemporal clusters of DTC. GM(1,1) and standard deviation ellipses were then applied to predict the future evolution of the spatial pattern of the DTC cases in Lujiang County. The results showed that DTC in Lujiang County had obvious spatiotemporal clustering. The spatial distribution of DTC cases increases gradually from east to west in the county in a stepwise pattern. The peak of DTC cases occurred in 2012-2013, and the high-case spatial clusters were located mainly in the northwest of Lujiang County. At the 99% confidence interval, two spatiotemporal clusters were identified. From 2012 to 2017, the cases of DTC in Lujiang County gradually shifted to the high-incidence area in the northwest, and the spatial distribution range experienced a process of "dispersion-clustering". The cases of DTC in Lujiang County will continue to move to the northwest from 2018 to 2025, and the predicted spatial clustering tends to be more obvious
Cartography · China · Cluster analysis · Distribution (mathematics · Geography · Spatial analysis · Spatial distribution · Statistics · Colorectal Cancer Screening and Detection · Demography · Esophageal Cancer Research and Treatment · Global Cancer Incidence and Screening · Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |