Analisis Sebaran Spasial Tingkat Kejadian Kasus Covid-19 Dengan Metode Kernel Density di Kota Ambon

Abstract

Kota Ambon merupahkan daerah dengan kasus COVID-19 tertinggi di provinsi Maluku yaitu 435 orang terkonfirmasi positif dan yang terkonfimasi suspek 10 orang. Kasus COVID-19 di Kota Ambon dari bulan maret-desember, cenderung meningkat setiap bulannya. Jumlah penderita COVID-19 di Kota Ambon meningkat disebabkan karena wilayah tersebut merupakan wilayah dengan jumlah penduduk yang banyak dibandingkan wilayah lain, jumlah penduduk Kota Ambon saat ini yaitu 371.650 Jiwa. Penelitian ini bertujuan untuk mengetahui sebaran spasial tingkat kejadian kasus positif COVID-19 dengan metode Kernel Density di Kota Ambon dan untuk menganalisis hubungan antara kepadatan penduduk dan jumlah kasus Positif COVID-19 di Kota Ambon. Hasil analisis pola spasial sebaran tingkat kejadian kasus Positif COVID-19 terkonsentrasi pada wilayah-wilayah tertentu mengikuti jumlah penduduk dan faktor lingkungan lain di Kota Ambon. Sebaran spasial tingkat kejadian kasus Positif COVID-19 menunjukan, kelas tertinggi terdapat disekitar 22 desa dan Kelurahan dengan luas 1420 Hektar atau 4%, kelas sedang terdapat di 8 desa dan kelurahan dengan luas 2258 atau 7%, dan kelas rendah terdapat di 29 desa dan kelurahan dengan luas 28877 atau 89%. Hubungan kepadatan penduduk dengan jumlah kejadian kasus Positif COVID-19 di Kota Ambon mempunyai korelasi yang kuat dengan nilai (r) 0,620 dan mempunyai hubungan yang positif.

Role of Geographers in the Analysis and Modeling of the Spread of Communicable Diseases (Malaria & COVID-19) in Ambon City: A Spatial Approach for Epidemiological Analysis

“…The method used in this review is a comparative descriptive study with a qualitative approach using secondary data from relevant sources, such as articles (national and international), news portals, and related institutions. This research will review the role of geographers in analyzing and modeling the distribution of infectious diseases (malaria & COVID-19) in Ambon City from research previously conducted by Salakory et al, (2013), with the title of research on the use of remote sensing technology and GIS to control the dynamics of Soil Transmitted Helminths populations in endemic land units on Ambon Island, and Rakuasa et al, (2021), on, analyzing the spatial distribution of the incidence rate of COVID-19 cases with the kernel density method in Ambon City.…”

“…Thus, the role of geographers in analyzing and modeling the distribution of COVID-19 is very important in efforts to manage and prevent this disease at the local level. Previously, Rakuasa et al (2021), have conducted research on, analyzing the spatial distribution of the incidence rate of COVID-19 cases using the kernel density method in Ambon City.…”

“…Research conducted by Rakuasa et al (2021) aims to analyze the spatial distribution of the incidence rate of Covid-19 cases in Ambon City using the kernel density method. This method is an approach used to map the spatial distribution of data points in the form of density.…”

“…In research conducted by Rakuasa et al (2021) on analyzing the spatial distribution of the incidence rate of COVID-19 cases using the kernel density method in Ambon City, the role of geographers has an important impact in several aspects of analyzing and modeling the distribution of this disease. The spatial approach to epidemiological analysis is an essential concept in the role of geographers in understanding and addressing the distribution of infectious diseases such as malaria and COVID-19 in Ambon City.…”

“…In a longer time frame, climate change can also affect the spread of infectious diseases in the Ambon City area (Misslin et al, 2016). Previous studies on the use of GIS in the health sector in analyzing and modeling the distribution of infectious diseases (Malaria & COVID-19) have been conducted in Ambon City by Salakory et al, (2013), namely on the use of remote sensing and GIS technology to control the population dynamics of soil transmitted helminths in endemic land units of Ambon Island, and Rakuasa et al, (2021), have conducted research on, analyzing the spatial distribution of the incidence rate of COVID-19 cases with the kernel density method in Ambon City, this certainly shows that a geographer has an important role in understanding how climate change can affect the distribution of disease vectors and overall disease distribution patterns. This can provide important insights for adaptation and mitigation efforts in the face of future infectious disease threats.…”