中国寄生虫学与寄生虫病杂志 ›› 2004, Vol. 22 ›› Issue (3): 5-147.

• 论著 • 上一篇    下一篇

洪涝灾害遥感资料用于疟疾和流行性乙型脑炎疫情分析

于国伟1,汤林华1,曾光2,唐音3,梅家模3
  

  1. 中国疾病预防控制中心寄生虫病预防控制所,上海 200025 2 中国疾病预防控制中心流行病学研究所,北京100000 3 江西省疾病预防控制中心,南昌 330046
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2004-06-30 发布日期:2004-06-30

The Application of Remote Sensing Data in Epidemic Situation Analysis of Malaria and Encephalitis B

YU Guo-wei,TANG Lin-hua,ZENG Guang,TANG Yin,MEI Jia-mo
  

  1. Institute of Parasitic Diseases,Chinese Center for Disease Control and Prevention,Shanghai,200025,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2004-06-30 Published:2004-06-30

摘要:   目的 借助遥感资料研究洪涝灾害中疟疾、流行性乙型脑炎的流行规律。 方法 采用描述性分析方法对1998年江西省洪涝灾害遥感淹没面积资料进行分析 ,依据确定的灾区县界定分级标准对江西省洪涝灾区进行分类 ,以1998年的发病率比较前五年发病率中位数值、1997年的发病率和1999年的发病率升降幅度为指标对洪涝灾害疟疾、流行性乙型脑炎疫情进行分析。 结果 遥感淹没面积呈正偏态分布(t检验与W检验P<0.05),取遥感淹没面积中位数值并参照现场流调结果确定灾区县界定分级标准:遥感淹没面积大于等于10万亩的灾区县属一类灾区;小于10万亩的灾区县属二类灾区;遥感资料未显示淹没面积的上报灾区县属三类灾区;其余县属于非灾区。1998年江西省疟疾疫情处于历史一般水平;与 1997年比较,一类、二类、三类灾区疟疾发病率分别上升111.61%、97.50 %、43.63% ,疟疾发病率上升幅度与遥感淹没面积呈正相关(Rs=0.893 ,P<0.05);1998年非灾区流行性乙型脑炎发病率较1997年上升252.03%。1999年非灾区疟疾发病率较1998年上升83.39%;1999年各类灾区流行性乙型脑炎发病率均较1998年上升。 结论 借助遥感淹没资料可以实现疟疾、流行性乙型脑炎疫情的分级分析。

关键词: 疟疾, 乙型脑炎, 遥测术, 发病率, 自然灾害

Abstract:  Objective To explore the epidemic regularity of malaria and encephalitis B by using the data of remote sensing (Rs) in flood area. Methods The demarcation standards in counties with flood disaster were formed depending on the descriptive analysis results of remote sensing data and combined with that of field survey. Three indicators were used to analyze the epidemic situation of malaria and encephalitis B in Jiangxi Province during a heavy flooding in 1998: the increasing percentage of incidence in 1998 comparing with the median of past five years (1993-1997), the increasing percentage of incidence in 1998 comparing with that of 1997, the increasing percentage of incidence in 1999 comparing with that of 1998. Results The demarcation standards of flooding counties were defined as follows: by Rs, a county with a flood area of over 100 thousand mu was classified into group one, a county with a flood area under 100 thousand mu was classified into group two, a county with reported flood but not identified by RS was classified into group three, the other counties in the province were classified into group four. The malaria incidence in the province in 1998 was at an average historical level. Compared with 1997, malaria incidence in each group increased in 1998 by 111.61% in group one, 97.50% in group two, 43.63% in group three. So there is an evident correlation between the flood area by Rs and the increasing of malaria incidence(Rs=0.893,P<0.05). Malaria incidence in 1999 in non-flood area increased by 83.39% in comparison with that of 1998. The encephalitis B incidence increased by 252.03% in 1998 in group four compared with that of 1997; while the incidence increased in all the four groups in 1999 than that of in 1998. Conclusion The remote sensing data on flood can help fully analyze the epidemic situation of malaria and encephalitis B.

Key words: Malaria, Encephalitis B, Telemetry, Incidence, Natural Disaters