李晓琴, 胡飞, 肖丽娉, 温琪, 王腊梅. 2001-2020年江西省不同防治阶段新发麻风病例流行区域变化[J]. 疾病监测, 2023, 38(4): 403-407. DOI: 10.3784/jbjc.202210180451
引用本文: 李晓琴, 胡飞, 肖丽娉, 温琪, 王腊梅. 2001-2020年江西省不同防治阶段新发麻风病例流行区域变化[J]. 疾病监测, 2023, 38(4): 403-407. DOI: 10.3784/jbjc.202210180451
Li Xiaoqin, Hu Fei, Xiao Liping, Wen Qi, Wang Lamei. Changes in area distribution of newly detected leprosy cases at different control periods in Jiangxi, 2001−2020[J]. Disease Surveillance, 2023, 38(4): 403-407. DOI: 10.3784/jbjc.202210180451
Citation: Li Xiaoqin, Hu Fei, Xiao Liping, Wen Qi, Wang Lamei. Changes in area distribution of newly detected leprosy cases at different control periods in Jiangxi, 2001−2020[J]. Disease Surveillance, 2023, 38(4): 403-407. DOI: 10.3784/jbjc.202210180451

2001-2020年江西省不同防治阶段新发麻风病例流行区域变化

Changes in area distribution of newly detected leprosy cases at different control periods in Jiangxi, 2001−2020

  • 摘要:
      目的  通过对2001—2020年江西省不同防治阶段新发麻风病例的分布特征及规律进行分析,为麻风病防治提供科学依据。
      方法  以江西省各县(市、区)的空间数据库为基础,利用SaTScan 9.6软件对2001—2020年不同防治阶段新发病例按空间和时间−空间两种扫描探测模式进行统计分析,并通过ArcMap 10.5软件将分析结果可视化。
      结果  2001—2020年江西省累计新发麻风病例801例,其中儿童病例占1.87%,多菌型占86.02%,2级畸残占20.35%,延迟期在12个月以内的占27.97%,发现方式以被动发现为主,占82.77%。 2级畸残比在不同防治阶段差异有统计学意义(χ2=7.032, P<0.05)。 发现率从2001年的0.1171/10万下降至2020年的0.0173/10万,年平均发现率为(0.0915/10万±0.0387/10万)。 “十年规划”期间年平均发现率低于“十五”(Z=−3.062,P<0.01)和“十一五”期间(Z=−3.062,P<0.01)。 单纯空间扫描显示,3个时期均出现不同聚集程度的聚集区域,其中“十五”期间出现了1个一类和2个二类聚集区域,“十一五”期间出现1个二类聚集区域,“十年规划”期间分化为3个二类聚集区域,聚集范围呈现扩大化。 时间−空间扫描显示,在2001—2020年期间共探测到2个一类聚集区域和1个二类聚集区域,主要位于江西省南部偏西,聚集年份集中在2004—2005年、2009—2010年、 2011—2015年。
      结论  2001—2020年江西省麻风病发现率逐年下降,在空间分布上聚集性程度逐年下降,但是聚集范围逐年扩大。 今后的防治工作不仅要针对聚集区域,同时要重视因聚集范围不断扩大而覆盖的区域。

     

    Abstract:
      Objective  To analyze the spatiotemporal distribution of newly leprosy cases in different control periods in Jiangxi province from 2001 to 2020 and provide evidence for prevention and control of leprosy.
      Methods  Based on the spatial database of counties (districts) in Jiangxi, the statistical analysis on the newly detected leprosy cases reported in Jiangxi at different control periods from 2001 to 2020 was carried out by using SaTScan spatiotemporal scanning statistical software based on two scanning detection modes of space and time-space, and the analysis results were visualized by ArcMap.
      Results  From 2001 to 2020, a total of 801 newly detected leprosy cases were reported in Jiangxi. Among these cases, 1.87% were children under 15 years, 86.02% were multibacillary cases, and 20.35% suffered from grade 2 disability, 27.97% had delayed treatment for ≤12 months and most cases (82.77%) were detected passively. There was significant difference in grade 2 disability ratio in different control periods (χ2=7.032, P<0.05). The detection rate of leprosy case decreased from 0.1171/100 000 in 2001 to 0.0173/100 000 in 2020, with an average detection rate of (0.0915±0.0387) per 100 000. The average detection rate in the ten-year leprosy risk elimination period was significantly lower than that in the 10th Five-Year Plan period (Z=−3.062, P<0.01) and the 11th Five-Year Plan period (Z=−3.062, P<0.01). The simple spatial scanning showed that there were clustering areas with different clustering degrees in the three periods. There was one category I clustering areas and two category Ⅱ clustering areas in the 10th Five-Year Plan period, one category Ⅱ clustering area in the 11th Five-Year Plan period, and two category Ⅱ clustering areas in the ten-year leprosy risk elimination period, showing an expansion of clustering areas. The spatiotemporal scanning showed that two clustering areas of category Ⅰ and one clustering area of category Ⅱ were detected during 2001−2020, which were all distributed in southwestern Jiangxi during 2004−2005, 2009−2010 and 2011−2015.
      Conclusion  The case detection rate of leprosy decreased and the degree of spatial clustering became lower year by year in Jiangxi, but the clustering areas expanded. Leprosy prevention and control should be strengthened not only in the clustering areas, but also in the newly affected areas in the future.

     

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