Background The recent situation of dengue infection in Cirebon district is concerning due to an upsurge trend since the year 2010. The largest dengue outbreak was reported in 2016 which has affected more than 1600 children. A study was conducted to explore the temporal variability of dengue outbreak in Cirebon’s child population in during 2011–2017, and to assess the short-term effects of climatic and environmental factor on dengue incidence. In addition, the spatial pattern of dengue incidence in children and high-risk villages were investigated. Methods A total of 4597 confirmed dengue cases in children notified from January 2011 to December 2017 were analysed. Seasonal decomposition analysis was carried out to examine the annual seasonality. A generalized linear model (GLM) was applied to assess the short-term effect of climate and normalized difference vegetation index (NDVI) on dengue incidence. The incidence rate ratio (IRR) of the final model was reported. Spatial analyses were conducted by using Moran’s I and local indicator of spatial association (LISA) analyses to explore geographical clustering in incidence and to identify high-risk villages for dengue, respectively. Results An annual dengue epidemic period was observed with peaks occurring every January/February. Based on the GLM, temperature at a lag 4 months (IRR = 1.27; 95% confidence interval, 95% CI: 1.22–1.31, P < 0.001), rainfall at a lag 2 months (IRR = 0.99, 95% CI: 0.99–0.99, P < 0.001), humidity at lag 0 month (IRR = 1.05, 95% CI: 1.04–1.06, P < 0.001) and NDVI at a lag 1 month (IRR = 3.07, 95% CI: 1.94–4.86, P < 0.001) were associated with dengue incidence in children. The dengue incidence in children was spatially varied and clustered at the village level across Cirebon. During 2011–2017, a total of 38 high-risk villages for dengue were identified, which were mainly located in the northern part of Cirebon. Conclusions Seasonal patterns of dengue incidence in children in Cirebon were strongly associated with rainfall, temperature, humidity and NDVI variability, suggesting that climatic and environmental data could be used to help predict dengue outbreaks. Our spatial analysis revealed a clustered pattern in dengue incidence and high-risk villages for dengue across Cirebon, suggesting that effective interventions such as vector surveillance and school-based campaigns should be prioritized around the identified high-risk villages. Temporal and spatial analytical tools could be utilized to support local health authorities to apply timely and targeted public health interventions and help better planning and decision-making in order to minimize the impact of dengue outbreaks. Electronic supplementary material The online version of this article (10.1186/s13071-019-3446-3) contains s...

Dengue fever threatens more than 200 million people in Indonesia. The disease has spread to over 400 of Indonesia's 497 districts, 26 of which have been declared hyper-endemic. These districts are all situated in West Java, the most densely populated province in the country. A study was conducted to detect clusters of dengue incidence during 2007-2013 in Cimahi City, which is situated in the Bandung metropolitan area in West Java. A temporal-spatial analysis based on population data from the local Bureau of Statistics, and monthly analysis of dengue incidence from the local Municipality Health Office, were performed using SaTScan™. This retrospective space-time analysis with a Poisson distribution model and monthly precision revealed 24 significant clusters (P<0.001) throughout the seven-year study period. The most likely cluster was detected in the centre of Cimahi City and followed as it moved to the northern part of the city. Several primary and secondary clusters were identified in villages surrounding Cimahi City over time, and our conclusion is that we identified a dynamic spread of dengue fever initiated from the city centre to surrounding areas during the study period. In general, clusters were more common in the first quarter of each year. An in-depth investigation to understand relevant risk factors in high-risk areas in Cimahi city is encouraged.

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Belajar matematika dengan nuansa budaya (ethnomathematics), akan lebih bermakna bagi siswa dalam memahami konsep matematika. Salah satu budaya lokal yang menjadi kebanggaan di Purworejo adalah batik. Oleh karena itu, batik dapat digunakan sebagai salah satu media pembelajaran matematika berdasarkan etnomatematika. Pada artikel ini kami akan menjelaskan pembelajaran matematika menggunakan latar belakang budaya, yaitu pada materi pola bilangan menggunakan media batik Adipurwo khas Purworejo, Jawa Tengah. Tujuan penulisan artikel ini adalah untuk mengetahui etnomatematika dari motif batik Adipurwo yang digunakan sebagai media pembelajaran matematika dalam materi pola bilangan. Siswa dapat menentukan pola bilangan dengan media batik Adipurwo. Hasil dalam penelitian ini adalah sebagai berikut: motif geblek dan klanting memiliki pola urutan aritmatika yang berbeda dengan 6, sedangkan motif daun pare dan clorot memiliki pola urutan aritmatika dengan perbedaan 3. Dengan hubungan antara nomor pola bahan dan Adipurwo batik, pembelajaran matematika akan menjadi lebih bermakna dan lebih menarik, sehingga siswa dapat memahami matematika dengan mudah dan menyenangkan.

Abstrak: Penelitian ini bertujuan untuk mengetahui deskripsi representasi matematis mahasiswa calon guru dalam menyelesaikan masalah matematika. Metode yang digunakan adalah kualitatif dengan pendekatan studi kasus. Data yang dikumpulkan yaitu hasil pekerjaan mahasiswa yang berupa hasil vignette. Snowball sampling sebagai teknik pengambilan subjek. Subjek dalam penelitian ini adalah tiga mahasiswa semester 3 Program Studi Pendidikan Matematika Universitas Muhammadiyah Purworejo. Teknik yang digunakan untuk mengumpulkan data adalah dokumentasi. Data dianalisis melalui tahap reduksi data, penyajian data, menarik kesimpulan, dan verifikasi. Hasil penelitian ini menunjukkan bahwa subjek S1 dan S2 dengan kemampuan akademik tinggi dan sedang mempunyai kemampuan representasi matematis yang baik karena memenuhi semua indikator representasi matematis. Kemampuan representasi matematis subjek S3 dengan kemampuan akademik rendah masih kurang karena tidak memenuhi semua indikator. Kemampuan representasi matematis tidak hanya dipengaruhi oleh kemampuan akademik, tetapi dipengaruhi juga oleh faktor lain seperti penggunaan media, pengalaman, dan latihan dalam menyelesaikan masalah matematika. Kata kunci : Representasi Matematis; Calon Guru; Masalah Matematika; VignetteAbstract: This case study aims to determine the description of the mathematical representation of prospective teachers in solving mathematical problems. The data collected is student's work in the form of vignette results. Snowball sampling is as the technique of taking subjects. Subjects in this study are three students in the third semester mathematics education program of Muhammadiyah University of Purworejo. The technique used to collect data is documentation. The data is analyzed through data reduction, data