1Division of Global Pediatrics, University of Minnesota, Minneapolis, Minnesota.
2Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota.
Am J Trop Med Hyg. 2020 Dec;103(6):2198-2207. doi: 10.4269/ajtmh.19-0821. Epub 2020 Oct 27.
The use of spatial data in malaria elimination strategies is important to understand whether targeted interventions against malaria can be used, particularly in areas with limited resources. We previously documented consistent areas of increased malaria incidence in the epidemic-prone area of Kipsamoite in highland Kenya from 2001 to 2004. In this area and a neighboring subcounty (Kapsisiywa), malaria incidence decreased substantially in 2005, going from peak incidence of 31.7 per 1,000 persons in June 2004 to peak incidence of 7.4 per 1,000 persons in May 2005. Subsequently, the use of indoor residual spraying and artemisinin combination therapy malaria treatment led to a possible interruption of malaria transmission for a 13-month period from 2007 to 2008, after which the incidence returned to very low levels until an epidemic in April-July 2013. In the present study, we used novel kernel density estimation methods to determine whether areas of increased malaria incidence were consistent in six periods of peak incidence from 2003 to 2013, and to assess patterns of incidence in the period before versus. after the period of possible interruption. Areas of highest incidence differed during peak malaria transmission periods over the years 2003-2013, and differed before and after the potential malaria interruption. In this epidemic-prone region with very low malaria transmission, consistent malaria "hotspots" identified in a time of higher transmission are no longer present. Ongoing assessment of spatial malaria epidemiology to identify and target current areas of elevated malaria risk may be important in campaigns to control or eliminate malaria in epidemic-prone areas.
在疟疾消除策略中使用空间数据对于了解是否可以使用针对疟疾的靶向干预措施非常重要,特别是在资源有限的地区。我们之前记录了肯尼亚高地 Kipsamoite 地区从 2001 年到 2004 年疟疾发病率持续增加的一致区域。在该地区和一个邻近的分区(Kapsisiywa),2005 年疟疾发病率大幅下降,从 2004 年 6 月每千人 31.7 例的峰值下降到 2005 年 5 月每千人 7.4 例的峰值。随后,由于 2007 年至 2008 年期间使用了室内滞留喷洒和青蒿素联合疗法治疗疟疾,可能中断了疟疾传播长达 13 个月,此后发病率又回落到非常低的水平,直到 2013 年 4 月至 7 月的一次疫情。在本研究中,我们使用新的核密度估计方法来确定在 2003 年至 2013 年六个高峰期是否存在疟疾发病率增加的一致区域,并评估在可能中断前后期间的发病率模式。在 2003 年至 2013 年的疟疾高发期,高发病率区域各不相同,在潜在的疟疾中断前后也存在差异。在这个疟疾高发地区,疟疾传播非常低,在高传播时期确定的一致疟疾“热点”不再存在。持续评估空间疟疾流行病学,以确定和针对当前疟疾风险升高的地区,可能对在疟疾高发地区控制或消除疟疾的运动非常重要。