ArticleMalaria journal2019
Spatiotemporal patterns of malaria at cross-boundaries area in Menoreh Hills, Java, Indonesia.
Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Pf41 serological profiling reveals potential malaria exposure in low transmission setting in the Menoreh Hills, Central Java, Indonesia.BMC microbiology · 2026Article
- Anopheles ecology and serological evidence of malaria exposure in clinically malaria-free areas of Menoreh Hills Central Java, Indonesia.Scientific reports · 2026Article
- Genetic diversity and phylogeographic structure of Anopheles kochi, Anopheles maculatus, and Anopheles vagus: ITS2-based analysis of highland transboundary populations in the Menoreh Hills, Java, Indonesia.Parasites, hosts and diseases · 2025Article
- Serological evidence of continued exposure toFrontiers in microbiology · 2025Article
- The spatial signature of Plasmodium vivax and Plasmodium falciparum infections: quantifying the clustering of infections in cross-sectional surveys and cohort studies.Malaria journal · 2023Article
- Risk Factors Analysis of Malaria Transmission at Cross-Boundaries Area in Menoreh Hills, Java, Indonesia.Iranian journal of public health · 2021Article
- Using health facility-based serological surveillance to predict receptive areas at risk of malaria outbreaks in elimination areas.BMC medicine · 2020Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundComprehensive reports of malaria in Menoreh Hills, Central Java, Indonesia, a unique district cross-boundaries area under three districts and two provinces have been published previously. However, no study was performed to identify the hotspots of malaria in this cross-boundaries area, Kaligesing and Bagelen Subdistricts in Purworejo, Jawa Tengah Province and Kokap Subdistrict in Kulon Progo, Yogyakarta Province, using a longitudinal spatial data.
methodsMonthly reports of malaria cases at primary health centres during 2005-2015 were collected and processed with ArcGIS and SaTScan to identify the malaria distribution at the village level. Malaria distribution was analysed using global spatial autocorrelation (Moran index) in ArcGIS. Cluster analysis was conducted using SaTScan purely spatial clustering and purely temporal clustering. Cluster characteristics resulted from three different approach were compared and analysed.
resultsDuring the last 11 years, 3812 malaria cases were reported and the number of high case incidence (HCI) villages were increased continuously. Malaria spatial distribution in Menoreh Hills was clustered spatially. Using three different approaches of time period ranges, consistent conclusion was found i.e. most likely clusters always occurred in the Purworejo district while the secondary clusters appeared later in the cross-boundaries districts.
conclusionSpatiotemporal analysis of an 11 years surveillance data showed that hotspots of malaria cases in Menoreh Hills were continuously located in Purworejo district. The success of malaria elimination in the cross boundaries area of Menoreh Hills might be depended on the success in malaria case management and surveillance in this hotspot area.
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