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巴西马托格罗索州疟疾重点防控区域分层的空间分析

Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil.

作者信息

Atanaka-Santos Marina, Souza-Santos Reinaldo, Czeresnia Dina

机构信息

Instituto de Saúde Coletiva, Universidade Federal de Mato Grosso, Cuiabá, Brasil.

出版信息

Cad Saude Publica. 2007 May;23(5):1099-112. doi: 10.1590/s0102-311x2007000500012.

DOI:10.1590/s0102-311x2007000500012
PMID:17486233
Abstract

The goal of this study was to stratify priority areas for malaria control in the State of Mato Grosso, Brazil, based on spatial analysis. The variables used were: Annual Parasite Index (API), Plasmodium falciparum/Plasmodium vivax ratio, population variation, number of families settled, and percent of deforested area. The Moran's I and Local Moran Test were applied, visualized with the Box Map and Moran Map, for 1986- 1991, 1992-1997, and 1998-2003. Box Map identified areas with high, low, and intermediate priority for control, and Moran Map identified municipalities with significant autocorrelation. In the high priority area, located in the North of Mato Grosso, malaria incidence decreased drastically despite the increase in the number of municipalities from the first to the last period. Other municipalities were added to the lower priority area, from the Southeast, Southwest, and Central-South of the State. The intermediate priority area was located along the border with neighboring States and municipalities classified as high and low priority. Spatial analysis showed the importance of the neighboring phenomenon between municipalities in defining priority areas, thus highlighting the technique's advantages for use in malaria control and surveillance.

摘要

本研究的目标是基于空间分析,对巴西马托格罗索州疟疾控制的优先区域进行分层。所使用的变量包括:年度寄生虫指数(API)、恶性疟原虫/间日疟原虫比率、人口变化、定居家庭数量以及森林砍伐面积百分比。应用了莫兰指数(Moran's I)和局部莫兰检验,并通过箱形图和莫兰图进行可视化,分析时间跨度为1986 - 1991年、1992 - 1997年以及1998 -

2003年。箱形图确定了控制的高、低和中等优先区域,莫兰图确定了具有显著自相关的市。在位于马托格罗索州北部的高优先区域,尽管从第一个时期到最后一个时期市的数量有所增加,但疟疾发病率大幅下降。该州东南部、西南部和中南部的其他市被归入较低优先区域。中等优先区域位于与邻州以及被归类为高优先和低优先的市的边界沿线。空间分析表明,市与市之间的邻接现象在确定优先区域方面具有重要性,从而突出了该技术在疟疾控制和监测中的优势。

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