Analysis Autocorrelation Spatial Diarrhea, Typhoid and Leptospirosis on The East Flood Canal, Semarang City: Moran Index Method
Abstract
Waterborne disease is a disease with water-borne media. The waterborne disease can occur when people come into contact with water that is high in Escherichia coli (a pathogen that causes diarrhea), Salmonella (a pathogen that causes typhoid) and leptospira (a pathogen that causes leptospirosis). This study aims to provide information on the relationship and distribution pattern between canal water consumption and the incidence of waterborne diseases using spatial autocorrelation analysis using the Moran index method. This research is development research with a spatial approach and the Moran index method. From the results of the Moran index autocorrelation, diarrhea has a value of Z(I) = 0.085786 less than Z0.95 = 1.645, which means that there is no spatial autocorrelation, but the distribution pattern is positive so that it is clustered. Typhoid has a value of Z(I) = -0.015495 less than Z0.95 = 1.645, which means that there is no spatial autocorrelation, the distribution pattern is negative and random. While leptospirosis has a value of Z(I) = 0.014872 less than Z0.95 = 1.645, meaning that it has no spatial autocorrelation, the distribution pattern is positive with a clustered form. Efforts are needed for the participation of the Semarang City government in providing access to clean water in several urban areas of Semarang City, assessing parameters and processing water for the East Flood Canal.
Penyakit yang ditularkan melalui air adalah penyakit dengan media yang terbawa air. Penyakit yang ditularkan melalui air dapat terjadi ketika orang bersentuhan dengan air yang tinggi Escherichia coli (patogen penyebab diare), Salmonella (patogen penyebab tifus) dan leptospira (patogen penyebab leptospirosis). Penelitian ini bertujuan untuk memberikan informasi tentang hubungan dan pola distribusi antara konsumsi air saluran dengan kejadian penyakit yang ditularkan melalui air menggunakan analisis autokorelasi spasial menggunakan metode indeks Moran. Penelitian ini merupakan penelitian pengembangan dengan pendekatan spasial dan metode indeks Moran. Dari hasil autokorelasi indeks Moran, diare memiliki nilai Z(I) = 0085786 kurang dari Z0,95 = 1,645 yang artinya tidak terdapat autokorelasi spasial tetapi pola distribusinya positif sehingga mengelompok. Tifus memiliki nilai Z(I) = -0,015495 kurang dari Z0,95 = 1,645 yang berarti tidak terdapat autokorelasi spasial, pola sebarannya negatif dan acak. Sedangkan leptospirosis memiliki nilai Z(I) = 0,014872 kurang dari Z0,95 = 1,645 artinya tidak memiliki autokorelasi spasial, pola sebarannya positif dengan bentuk mengelompok. Diperlukan upaya peran serta Pemerintah Kota Semarang dalam penyediaan akses air bersih di beberapa wilayah perkotaan Kota Semarang, pengkajian parameter dan pengolahan air untuk Kanal Banjir Timur.
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References
Blettler, M. C. M., Oberholster, P. J., Madlala, T., Eberle, E. G., Amsler, M. L., De Klerk, A. R., … Szupiany, R. (2019). Habitat characteristics, hydrology and anthropogenic pollution as important factors for distribution of biota in the middle Paraná River, Argentina. Ecohydrology and Hydrobiology, 19(2), 296–306. https://doi.org/10.1016/j.ecohyd.2018.08.002
Cobo, J. R., Lock, K., Van Butsel, J., Pauta, G., Cisneros, F., Nopens, I., & Goethals, P. L. M. (2018). Biological impact assessment of sewage outfalls in the urbanized area of the Cuenca River basin (Ecuador) in two different seasons. 71, 8–28.
Deshpande, A., Miller-Petrie, M. K., Johnson, K. B., Abdoli, A., Abrigo, M. R. M., Adekanmbi, V., … Reiner, R. C. (2020). The global distribution of lymphatic filariasis, 2000–18: a geospatial analysis. The Lancet Global Health, 8(9), e1186–e1194. https://doi.org/10.1016/S2214-109X(20)30286-2
Effendi, H., Romanto, & Wardiatno, Y. (2015). Water Quality Status of Ciambulawung River, Banten Province, Based on Pollution Index and NSF-WQI. Procedia Environmental Sciences, 24(April), 228–237. https://doi.org/10.1016/j.proenv.2015.03.030
Fatica, M.K., Schneider, K. R. (2011). Salmonella and produce: survival in the plant environment and implications in food safety. 2, 573–576.
Frena, M., Santos, A. P. S., Souza, M. R. R., Carvalho, S. S., Madureira, L. A. S., & Alexandre, M. R. (2019). Sterol biomarkers and fecal coliforms in a tropical estuary: Seasonal distribution and sources. Marine Pollution Bulletin, 139(November 2018), 111–116. https://doi.org/10.1016/j.marpolbul.2018.12.007
Gazzaz, N.M.; Yusoff, M.K.; Ramli, M.F.; Aris, A.Z.; Juahir, H. (2012). Characterization of spatial patterns in river water quality using chemometric pattern recognition techniques. 688–698.
Kouamé, P. K., Dongo, K., Nguyen-Viet, H., Zurbrügg, C., Lüthi, C., Hattendorf, J., … Bonfoh, B. (2014). Ecohealth approach to urban waste management: Exposure to environmental pollutants and health risks in yamoussoukro, Côte d’Ivoire. International Journal of Environmental Research and Public Health, 11(10), 10292–10309. https://doi.org/10.3390/ijerph111010292
Levantesi, C., Bonadonna, L., Briancesco, R., Grohmann, E., Toze, S., Tandoi, V. (2012). Salmonella in surface and drinking water: occurrence and water-mediated transmission.
Lima, G. N. de, Lombardo, M. A., & Magaña, V. (2018). Urban water supply and the changes in the precipitation patterns in the metropolitan area of São Paulo – Brazil. Applied Geography, 94(June), 223–229. https://doi.org/10.1016/j.apgeog.2018.03.010
Mukate, S., Panaskar, D., Wagh, V., Muley, A., Jangam, C., & Pawar, R. (2018). Impact of anthropogenic inputs on water quality in Chincholi industrial area of Solapur, Maharashtra, India. Groundwater for Sustainable Development, 7(October 2018), 359–371. https://doi.org/10.1016/j.gsd.2017.11.001
Paterson, D. L., Wright, H., & Harris, P. N. A. (2018). Health risks of flood disasters. Clinical Infectious Diseases, 67(9), 1450–1454. https://doi.org/10.1093/cid/ciy227
Safitri, L, F., Widyorini, N., dan Jati, O, E. (2016). Analisis Kelimpahan Total Bakteri Coliform di Perairan Muara Sungai Sayung, Morosari, Demak. Saintek Perikanan. 14(1), 30–35.
Sato, Y., Mizuyama, M., Sato, M., Minamoto, T., Kimura, R., & Toma, C. (2019). Environmental DNA metabarcoding to detect pathogenic Leptospira and associated organisms in leptospirosis-endemic areas of Japan. Scientific Reports, 9(1), 1–11. https://doi.org/10.1038/s41598-019-42978-1
Sun, W., Xia, C., Xu, M., Guo, J., & Sun, G. (2016). Application of modified water quality indices as indicators to assess the spatial and temporal trends of water quality in the Dongjiang River. Ecological Indicators, 306–312.
Wu, Z., Wang, X., Chen, Y., Cai, Y., & Deng, J. (2018). Assessing river water quality using water quality index in Lake Taihu Basin, China. Science of the Total Environment, 612, 914–922. https://doi.org/10.1016/j.scitotenv.2017.08.293
Xue, F., Tang, J., Dong, Z., Shen, D., Liu, H., Zhang, X., & Holden, N. M. (2018). Tempo-spatial controls of total coliform and E. coli contamination in a subtropical hilly agricultural catchment. Agricultural Water Management, 200(April), 10–18. https://doi.org/10.1016/j.agwat.2017.12.034
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