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在中国调整后的前列腺癌发病率:基于人口的流行病学分析
Yu Zhang1,2,3, Guijin Li1,2,3, Shuxiu Hao1,2,3
1Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, China.
Frontiers in public health
|February 6, 2026
概括
中国庞大的移民人口显著影响前列腺癌发病率估计. 对移民的调整为流动人口提供了更准确的癌症监测和公共卫生规划.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 空间分析 空间分析
背景情况:
- 中国的内部移民给癌症监测系统带来了重大挑战.
- 依赖于家庭登记人口 (HRP) 的传统方法可能导致偏见的发病率估计.
- 排除大量的移民人口可能会误导公共卫生规划和资源分配.
研究的目的:
- 估计中国居民 (RP) 中的前列腺癌发病率.
- 考虑省际移民对癌症监测数据的影响.
- 探索前列腺癌发病率的空间模式和聚类.
主要方法:
- 使用贝叶斯集成嵌套拉普拉斯近似与随机局部微分方程 (INLA-SPDE) 模型.
- 纳入的省际移民权重来自2016年中国移民动态调查.
- 分析了不同地区前列腺癌发病率的空间聚类.
主要成果:
- 确定了超过7300万个重要的省际移民人口.
- 在RP和HRP之间,特别是在上海和北京等省份,在前列腺癌发病率估计中表现出显著的差异.
- 揭示了东部沿海地区发病率较高,中西部和东北部地区发病率较低的空间聚类.
结论:
- 国内移民对中国的前列腺癌发病率监测有重大影响.
- 经移民调整的估计提供了更准确的疾病负担表示.
- 结果为改善高流动性地区的癌症登记系统提供了方法指导,并支持公平的医疗保健资源分配.
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