ArticlePloS one2016
A Geographic Analysis about the Spatiotemporal Pattern of Breast Cancer in Hangzhou from 2008 to 2012.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Spatial patterns and the associated factors for breast cancer hospitalization in the rural population of Fujian Province, China.BMC women's health · 2023Article
- Article
- Breast cancer in the Baixada Santista region and its relationship to contaminated areas.Environmental science and pollution research international · 2020Article
- Spatiotemporal patterns and ecological factors of tuberculosis notification: A spatial panel data analysis in Guangxi, China.PloS one · 2019Article
- Improving Spatiotemporal Breast Cancer Assessment and Prediction in Hangzhou City, China.Scientific reports · 2017Article
- [Geographic spatial pattern of digestive system cancers in Yiwu city].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2017Article
- Spatiotemporal Co-existence of Female Thyroid and Breast Cancers in Hangzhou, China.Scientific reports · 2016Article
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Authors and funding
6 authors.
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Abstract
backgroundBreast cancer (BC) is the most common female malignant tumor. Previous studies have suggested a big incidence disparity among different cities in China. The present work selected a typical city, Hangzhou, to study BC incidence disparity within the city.
methodsTotally, 8784 female breast cancer cases were obtained from the Hangzhou Center for Disease Control and Prevention during the period 2008-2012. Analysis of Variance and Poisson Regression were the statistical tools implemented to compare incidence disparity in the space-time domain (reference group: township residents during 2008, area: subdistrict, town, and township, time frame: 2008-2012), space-time scan statistics was employed to detect significant spatiotemporal clusters of BC compared to the null hypothesis that the probability of cases diagnosed at a particular location was equal to the probability of cases diagnosed in the whole study area. Geographical Information System (GIS) was used to generate BC spatial distribution and cluster maps at the township level.
resultsThe subdistrict populations were found to have the highest and most stable BC incidence. Although town and township populations had a relatively low incidence, it displayed a significant increasing trend from 2008 to 2012. The BC incidence distribution was spatially heterogeneous and clustered with a trend-surface from the southwest low area to the northeast high area. High clusters were located in the northeastern Hangzhou area, whereas low clusters were observed in the southwestern area during the time considered.
conclusionsBetter healthcare service and lifestyle changes may be responsible for the increasing BC incidence observed in towns and townships. One high incidence cluster (Linping subdistrict) and two low incidence clusters (middle Hangzhou) were detected. The low clusters may be attributable mainly to developmental level disparity, whereas the high cluster could be associated with other risk factors, such as environmental pollution.
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