贝叶斯病映射用于识别口腔癌高风险人群:一个回顾性的时空空间分析
Poornima Ramamurthy1, Dileep Sharma2, John Adeoye3
1College of Medicine and Dentistry, James Cook University, Cairns, Queensland 4878, Australia.
International journal of dentistry
|November 13, 2023
概括
贝叶斯绘图在澳大利亚昆士兰州发现了口腔癌热点. 这揭示了区域社区针对性公共卫生干预和初级预防策略的高风险区域.
科学领域:
- 流行病学 流行病学
- 地理信息系统 (GIS) 是指地理信息系统.
- 公共卫生 公共卫生
背景情况:
- 口腔癌在全球和澳大利亚是一个重大的公共卫生挑战.
- 识别口腔癌发病率和死亡率的地理模式对于有效的资源配置至关重要.
- 贝叶斯疾病映射是一种强大的时空工具,用于识别疾病热点.
研究的目的:
- 应用贝叶斯疾病绘图来确定澳大利亚昆士兰州的口腔癌发病率和死亡率热点.
- 分析昆士兰地方政府区域 (LGA) 和郊区的口腔癌趋势和空间模式.
- 为高风险地区的有针对性的公共卫生干预提供数据驱动的见解.
主要方法:
- 使用昆士兰州癌症登记处 (1982-2018) 的数据进行了回顾性研究.
- 采用贝叶斯绘图来估计口腔癌的平滑发病风险 (SIR) 和平滑死亡风险 (SMR).
- 利用地方政府区域 (LGA) 和郊区作为分析的地理单位.
主要成果:
- 78个LGA中的21个呈现出高于平均口腔癌发病率.
- 九个农村LGA的发病风险高于州平均水平,而伊萨山城的发病风险始终很高.
- 31个LGA的口腔癌死亡风险明显高于平均水平,Yarrabah原住民郡,库克郡和伊萨山城被确定为风险最高的地区.
结论:
- 贝叶斯疾病测绘有效地确定了昆士兰地区多个口腔癌发病率和死亡率热点.
- 这些发现可以为制定有针对性的公共卫生查和初级预防计划提供信息.
- 将干预措施集中在已确定的区域和偏远热点上,可以改善口腔癌的结果.
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