ArticleInternational journal of environmental research and public health2020
Spatial and Temporal Analysis of Lung Cancer in Shenzhen, 2008-2018.
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 7 papers.
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7 citing papers in PubMed.
- Geographical Disparities and Socioeconomic Determinants of Untreated Dental Caries in Permanent Teeth Across Asia, 1990-2019: A Retrospective Population-Based Burden Analysis.International journal of dentistry · 2026Article
- Influence of the atmospheric environment on spatial variation of lung cancer incidence in China.PloS one · 2024Article
- Lung cancer risk and its potential association with PMFrontiers in public health · 2024Article
- Cancer situation in China: what does the China cancer map indicate from the first national death survey to the latest cancer registration?Cancer communications (London, England) · 2023Article
- The mortality trends of falls among the elderly adults in the mainland of China, 2013-2020: A population-based study through the National Disease Surveillance Points system.The Lancet regional health. Western Pacific · 2022Article
- Epidemiological characteristics and temporal-spatial analysis of overseas imported dengue fever cases in outbreak provinces of China, 2005-2019.Infectious diseases of poverty · 2022Article
- Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015-2019.Frontiers in public health · 2022Article
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7 authors.
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Abstract
Lung cancer is the most commonly diagnosed cancer in China. The incidence trend and geographical distribution of lung cancer in southern China have not been reported. The present study explored the temporal trend and spatial distribution of lung cancer incidence in Shenzhen from 2008 to 2018. The lung cancer incidence data were obtained from the registered population in the Shenzhen Cancer Registry System between 2008 and 2018. The standardized incidence rates of lung cancer were analyzed by using the joinpoint regression model. The Moran's I method was used for spatial autocorrelation analysis and to further draw a spatial cluster map in Shenzhen. From 2008 to 2018, the average crude incidence rate of lung cancer was 27.1 (1/100,000), with an annual percentage change of 2.7% (
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