Background

Zika virus (ZIKV) infection has significantly affected Latin America in 2015–2017. Most studies have been reported from Brazil and Colombia, and only a few from Central America. For these reasons, we analyzed the incidence, incidence rates and evolution of cases in Honduras from 2016 to 2017.

Methods

Using epidemiological weeks (EW) surveillance data on the ZIKV epidemics in Honduras, we estimated incidence rates (cases/100,000 population), and developed maps at national, departmental and municipal levels.

Results

From 1 January 2016 to 31 December 2017, a total of 32,607 cases of ZIKV were reported (98.5% in 2016 for an incidence rate of 36.85 cases/100,000 pop; 1% confirmed by RT-PCR). The highest peak was reached on the EW 6°, 2016 (2559 cases; 29.34 cases/100,000 pop). The department with the highest number of cases and incidence rate was Cortés (13,128 cases, 791.08 cases/100,000 pop in 2016).

Discussion

The pattern and evolution of ZIKV infection in Honduras have been similar to that which occurred for chikungunya in 2015. As previously reported, infection with chikungunya involved predominantly the central and capital area of the country, reaching incidences there >750 cases/100,000 pop. Studies using geographical information systems linked with clinical disease characteristics are necessary to attain accurate epidemiological data for public health systems. Such information is also useful for assessment of risk for travelers who visit specific areas in a destination country.

中文翻译：

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使用地理信息系统（GIS）的洪都拉斯Zika 2016-2017年空间分布-对公共卫生和旅行医学的影响。

背景

2015-2017年，寨卡病毒（ZIKV）感染已严重影响拉丁美洲。据报道，大多数研究来自巴西和哥伦比亚，只有少数来自中美洲。基于这些原因，我们分析了2016年至2017年洪都拉斯的发病率，发病率和演变情况。

方法

利用洪都拉斯ZIKV流行病的流行病学周（EW）监测数据，我们估算了发病率（病例/ 100,000人口），并在国家，部门和市政级别上绘制了地图。

结果

从2016年1月1日到2017年12月31日，共报告32,607例ZIKV病例（2016年为98.5％，发病率为36.85例/ 10万流行人群; 1％通过RT-PCR确认）。2016年EW 6°达到最高峰（2559例; 29.34例/ 100,000流行）。病例数和发病率最高的科室是科尔特斯（Cortés）（13,128例，791.08例/ 100,000流行病2016）。

讨论

洪都拉斯ZIKV感染的方式和演变与2015年基孔肯雅热相似。如前所述，基孔肯雅热感染主要涉及该国中部和首都地区，在那里的发病率> 750例/ 100,000流行。为了获得准确的公共卫生系统流行病学数据，必须使用与临床疾病特征相关联的地理信息系统进行研究。此类信息对于评估访问目的地国家特定地区的旅行者的风险也很有用。