Tanah Bumbu Unit for Health Research and Development, National Institute of Health Research and Development, Jl. Loka Litbang, Komplek Perkantoran Pemerintah Daerah Kabupaten Tanah Bumbu, Tanah Bumbu, South Kalimantan 72171, Indonesia.
Center for Public Health Research and Development, National Institute of Health Research and Development, Ministry of Health of Indonesia, Jl. Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Trans R Soc Trop Med Hyg. 2021 May 8;115(5):500-511. doi: 10.1093/trstmh/traa125.
Malaria remains a significant public health concern in Indonesia. Knowledge about spatial patterns of the residual malaria hotspots is critical to help design elimination strategies in Kotabaru district, South Kalimantan, Indonesia.
Laboratory-confirmed malaria cases from 2012 to 2016 were analysed to examine the trend in malaria cases. Decomposition analysis was performed to assess seasonality. Annual spatial clustering of the incidence and hotspots were identified by Moran's I and the local indicator for spatial association, respectively.
The annual parasite incidence of malaria was significantly reduced by 87% from 2012 to 2016. Plasmodium vivax infections were significantly much more prevalent over time, followed by Plasmodium falciparum infections (p<0.001). The monthly seasonality of P. vivax and P. falciparum was distinct. High incidence was spatially clustered identified in the north, west and parts of south Kotabaru. Two persistent and four re-emerging high-risk clusters were identified during the period. Despite the significant reduction in the incidence of malaria, the residual high-risk villages remained clustered in the northern part of Kotabaru.
A spatially explicit decision support system is needed to support surveillance and control programs in the identified high-risk areas to succeed in the elimination goal of 2030.
疟疾仍然是印度尼西亚一个重大的公共卫生问题。了解疟疾残留热点的空间分布模式对于帮助设计印度尼西亚南加里曼丹科塔巴鲁地区的消除策略至关重要。
分析了 2012 年至 2016 年实验室确诊的疟疾病例，以检查疟疾病例的趋势。进行分解分析以评估季节性。通过 Moran's I 和局部空间关联指标分别评估发病率和热点的年度空间聚类。
2012 年至 2016 年，疟疾的年寄生虫发病率显著降低了 87%。疟原虫感染随着时间的推移明显更为普遍，其次是疟原虫感染（p<0.001）。疟原虫和疟原虫的每月季节性明显不同。北、西和科塔巴鲁南部部分地区发现高发病率的空间聚类。在此期间，确定了两个持续存在和四个重新出现的高风险集群。尽管疟疾发病率显著降低，但剩余的高风险村庄仍集中在科塔巴鲁北部。
需要一个空间明确的决策支持系统来支持在确定的高风险地区的监测和控制计划，以实现 2030 年的消除目标。
