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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.
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页码:1230 / 1239
页数:10
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