ArticleInternational journal of environmental research and public health2020
Characterization of Esophageal Cancer and ItsAssociation with Influencing Factors in GuangzhouCity, China.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Spatial clustering of esophageal cancer in central Oromia, Ethiopia: A spatial autocorrelation and scan statistics analysis.PloS one · 2026Article
- Spatiotemporal Hotspots of Study Areas in Research of Gastric Cancer in China Based on Web-Crawled Literature.International journal of environmental research and public health · 2021Article
- Spatiotemporal Distribution, Time to Treatment Outcome Clustering and Determinants of Esophageal Cancer in Ethiopia, a Scoping Study.Cancer control : journal of the Moffitt Cancer CenterArticle
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5 authors.
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Abstract
Epidemiological features of esophageal cancer (EC), as well as their associations withpotential influencing factors in a city, have seldom been seldom explored on a fine scale. The ECdeath cases in Guangzhou city during 2012-2017 were collected to describe the epidemiologicalcharacteristics such as EC mortality rate (ECMR) and health-seeking behaviors of deaths. Potentialinfluencing factors, including socioeconomic conditions (population density, gross domesticproduct density), medical resources, and ageing degree were also gathered for exploring theirrelationships with the epidemiological characteristics of EC. A total of 2,409 EC deaths werereported during 2012-2017 in Guangzhou with an age-standardized ECMR of 3.18/105. Theprevalence of EC in Guangzhou was spatially featured and was divided into three regions withobvious differentiated ECMR (ECMR of 6.41/105 in region A, ECMR of 5.51/105 in region B, ECMRof 2.56/105 in region C). The street/town-level ECMR was spatially clustered in Guangzhou city,especially two clusters of streets/towns with high ECMR were highlighted in region A and Brespectively. Meanwhile, demographic features including gender gap, death age, temporal intervalbetween diagnosis and death, health-seeking behaviors were remarkably different among the threeregions. Moreover, health-seeking behaviors (e.g., the proportion of hospital deaths) of the ECdeaths were obviously influenced by medical institution occupancy rate and socioeconomicconditions at street/town level. In addition, the street/town-level ECMR was significantly associatedwith ageing degree across Guangzhou city (r = 0.466,
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