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首页> 外文期刊>Tropical Medicine and International Health: TM and IH >Space-time analysis of hospitalised dengue patients in rural Thailand reveals important temporal intervals in the pattern of dengue virus transmission
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Space-time analysis of hospitalised dengue patients in rural Thailand reveals important temporal intervals in the pattern of dengue virus transmission

机译：在泰国农村住院的登革热患者的时空分析揭示了登革热病毒传播模式中的重要时间间隔

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Objective To determine the temporal intervals at which spatial clustering of dengue hospitalisations occurs. Methods Space-time analysis of 262 people hospitalised and serologically confirmed with dengue virus infections in Kamphaeng Phet, Thailand was performed. The cases were observed between 1 January 2009 and 6 May 2011. Spatial coordinates of each patient's home were captured using the Global Positioning System. A novel method based on the Knox test was used to determine the temporal intervals between cases at which spatial clustering occurred. These intervals are indicative of the length of time between successive illnesses in the chain of dengue virus transmission. Results The strongest spatial clustering occurred at the 15-17-day interval. There was also significant spatial clustering over short intervals (2-5days). The highest excess risk was observed within 200m of a previous hospitalised case and significantly elevated risk persisted within this distance for 32-34days. Conclusions Fifteen to seventeen days are the most likely serial interval between successive dengue illnesses. This novel method relies only on passively detected, hospitalised case data with household locations and provides a useful tool for understanding region-specific and outbreak-specific dengue virus transmission dynamics.
机译：目的确定登革热住院的空间聚集发生的时间间隔。方法对泰国甘烹碧府的262名因登革热病毒感染住院并经血清学证实的人进行时空分析。在2009年1月1日至2011年5月6日之间观察到了这些病例。使用全球定位系统捕获了每个患者房屋的空间坐标。一种基于Knox检验的新颖方法用于确定发生空间聚类的案例之间的时间间隔。这些间隔表明了登革热病毒传播链中连续疾病之间的时间长度。结果最强的空间聚类发生在15-17天的间隔。在短间隔（2-5天）内也存在明显的空间聚类。在先前住院病例的200m内观察到最高的额外风险，并且在此距离内持续32-34天的风险显着升高。结论15至17天是两次连续登革热疾病之间最可能的连续间隔。这种新颖的方法仅依赖于具有住户位置的被动检测的住院病例数据，并为了解特定于地区和特定爆发的登革热病毒传播动态提供了有用的工具。

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