期刊
ACTA TROPICA
卷 162, 期 -, 页码 5-10出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.actatropica.2016.06.010
关键词
-
资金
- Emerging Pathogens Institute at the University of Florida
- College of Liberal Arts and Sciences, as part of the University of Florida Pre-eminence Initiative
- King Faisal University
- SMART Scholarship Program
- US Assistant Secretary of Defense for Research and Education, National Defense Education Program (NDEP)/BA-1, Basic Research [Defense-Wide/PE0601120D8Z]
Background: Zika virus (ZIKV) is an emerging arbovirus transmitted to humans by Aedes mosquitoes, the same vectors that transmit dengue virus and chikungunya. Recent work has suggested that prior infection with dengue could lead to more severe clinical disease in ZIKV patients. Here, we describe the spatial distribution of and clinical symptoms experienced by ZIKV cases in Mexico. Methods: We performed Fisher's Exact test and Pearson's Chi-Square tests on data from Mexico's national surveillance system on the demographic and clinical characteristics of ZIKV patients (N=84), and then a multivariate logistic regression analysis to determine demographic risk factors for patients presenting with at least 9 symptoms. We also mapped the cases to describe the spatial distribution of ZIKV in Mexico. Results: Results from the multivariate logistic regression analysis indicate that, controlling for all covariates, sex (male) is a significant protective factor in reporting a high number of symptoms (OR = 0.36, 95% CI: 0.14, 0.92), and that a one-year increase in age is associated with a 4% increase in odds of having at least 9 symptoms (95% CI: 1.00, 1.08). Spatial analysis revealed more than 50% cases reported within 50 km of railways. Conclusion: We found that sex and age are both significant risk factors for ZIKV infection severity, using number of reported symptoms as a proxy. The presence of cases along railways indicates that transportation networks within Mexico may be relevant for the national and international spread of the disease. (C) 2016 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据