Utilizing spatiotemporal analysis of influenza-like illness and rapid tests to focus swine-origin influenza virus intervention

被引:6
作者
Wilson, J. Gaines [1 ]
Ballou, Jessica [2 ]
Yan, Chris [2 ]
Fisher-Hoch, Susan P. [2 ]
Reininger, Belinda [2 ]
Gay, Jennifer [2 ]
Salinas, Jennifer [2 ]
Sanchez, Pablo [2 ]
Salinas, Yvette
Calvillo, Fidel
Lopez, Leone
deLima, Ionara P.
McCormick, Joseph B. [2 ]
机构
[1] Univ Texas Brownsville, Dept Chem & Environm Sci, Brownsville, TX 78520 USA
[2] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth, Houston, TX USA
关键词
Cluster; Swine flu; Influenza like illness; Rapid antigen tests; GIS; Intervention; A H1N1 VIRUS; PANDEMIC INFLUENZA; SPREAD; EMERGENCE; OUTBREAK;
D O I
10.1016/j.healthplace.2010.08.010
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
In the spring of 2009, a novel strain of H1N1 swine-origin influenza A virus (S-OIV) emerged in Mexico and the United States, and soon after was declared a pandemic by the World Health Organization. This work examined the ability of real-time reports of influenza-like illness (ILI) symptoms and rapid influenza diagnostic tests (RIDTs) to approximate the spatiotemporal distribution of PCR-confirmed S-OIV cases for the purposes of focusing local intervention efforts. Cluster and age adjusted relative risk patterns of ILI, RIDT, and S-OIV were assessed at a fine spatial scale at different time and space extents within Cameron County, Texas on the US-Mexico border. Space-time patterns of ILI and RIDT were found to effectively characterize the areas with highest geographical risk of S-OIV within the first two weeks of the outbreak. Based on these results, ILI and/or RIDT may prove to be acceptable indicators of the location of S-OIV hotspots. Given that S-OIV data is often difficult to obtain real-time during an outbreak; these findings may be of use to public health officials targeting prevention and response efforts during future flu outbreaks. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1230 / 1239
页数:10
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