Pada akhir tahun 2019, terjadi fenomena virus yang mematikan yang disebut dengan Covid-19. Pemerintah Indonesia menerapkan pembatasan sosial berskala besar (PSBB) dalam upaya menekan penyebaran Covid-19. Dalam prakteknya, masih terjadi pelanggaran terhadap PSBB yang dilakukan masyarakat, salah satu penyebabnya adalah kesenjangan ekonomi. Dalam penelitian ini terfokus pada pemodelan jumlah kasus Covid-19 di Provinsi Jawa Barat menggunakan Geographically Weighted Regression (GWR), yang merupakan pengembangan dari regresi linier bersifat lokal antar wilayah observasi. Adapun faktor yang dianggap mempengaruhi penyebaran Covid-19 adalah kepadatan penduduk, persentase kemiskinan, tingkat pengangguran terbuka, persentase rumah tangga dengan sanitasi layak, dan persentase rumah tangga dengan sumber air minum layak. Hasil penelitian menunjukkan bahwa penyebaran Covid-19 di sebagian besar wilayah Provinsi Jawa Barat dipengaruhi oleh persentase kemiskinan.
A phenomenon of coronavirus became a big deal around the world at the end of December 2019. To find out how deadly the disease is, we can use the Case Fatality Rate (CFR), which provides the ratio number of deaths due to covid-19 between founded cases number of covid-19. However, studies to see the relationship between the number of cases and the number of deaths caused by covid-19 in Indonesia rarely done. Time Series analysis that can see how the relationship between the number of cases and the number of deaths due to covid-19 in Indonesia is Vector Autoregressive Integrated Moving Average analysis (VARIMA). Data used in this model must be qualified the stationary. For that reason, the transformation using differencing and logarithm on data must be performed to resolve non-stationary. The result shows the model that fulfilled all assumptions and had the smallest AICC value is VARIMA (1,1,1). The model shows the number of cases influenced by the number of cases and the number of deaths in the previous period. The same condition applies to the number of deaths affected by the number of deaths and the number of cases from the preceding period.
Leprosy is a chronic disease caused by Mycobacterium.lepreae that affects the nerves of the extremities, skin, nasal mucosa, and upper respiratory tract. As of today, some countries include Indonesia facing difficulties to fight leprosy. The health ministry of Indonesia noted that the majority of leprosy cases occurred in the eastern region, like Maluku Province. Therefore disease mapping is needed to develop a map of leprosy so that the handling of this disease could operate optimally, especially in Maluku. One of the disease mapping techniques is Hierarchical Bayes (HB), which involves a measure of uncertainty compared to other methods such as Standardized Mortality Ratio (SMR). The results showed that the relative risk of leprosy in Maluku was almost the same in each region. It indicates that the disease is prevalent in Maluku, with the highest value in Ambon City and the lowest value in the Aru Islands.
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