PENGGUNAAN ANALISIS RUANG DALAM PENYELIDIKAN PANDEMIK COVID-19: SATU TINJAUAN
THE USE OF SPACE ANALYSIS IN COVID-19 PANDEMIC RESEARCH: AN OVERVIEW
DOI:
https://doi.org/10.51200/ejk.v27i.3655Keywords:
GIS, analisis ruang, pemodelan, GWR, OLS, SEM, SLM, COVID-19, Spatial Analysis, Spatial ModelingAbstract
Geographic Information System (GIS) merupakan antara teknologi yang boleh digunakan dalam sektor kesihatan awam untuk mengkaji penyakit dan membantu mengenal pasti sebaran penyakit semasa pandemik. Walau bagaimanapun, penggunaan analisis ruang dalam kajian COVID-19 masih kurang dilakukan terutamanya di Malaysia setakat ini. Oleh itu, objektif kajian ini adalah untuk melakukan tinjauan literatur terhadap penggunaan analisis ruang dalam kajian berkaitan COVID-19. Kertas kerja ini akan mengkaji semula kesusasteraan tentang penggunaan analisis ruang yang digunakan untuk membuat analisis dalam kajian COVID-19 daripada beberapa kajian lepas. Sebanyak empat model regresi ruang yang didapati paling kerap digunakan dalam analisis kajian COVID-19 seperti Geographically weighted regression (GWR), Ordinary Least Square (OLS), Spatial Error Model (SEM), dan Spatial Lag Model (SLM). Akhir sekali, kertas kerja ini akan menyarankan penggunaan analisis ruang dalam kajian berkaitan COVID-19 pada masa akan datang terutamanya di Malaysia.
Geographic Information System (GIS) is one of the technologies that can be used in the public health sector to study diseases and help to identify the spread of diseases during pandemic. However, so far, the use of spatial analysis in COVID-19 study is still lacking, especially in Malaysia. Therefore, the objective of this study is to conduct a literature review on the use of spatial analysis in COVID-19 related studies. This paper will review the literature of spatial analysis that used to make the analysis in the COVID-19 study from previous studies. A total of four spatial regression models were found to be most frequently used in the COVID-19 study analysis such as Geographically weighted regression (GWR), Ordinary Least Square (OLS), Spatial Error Model (SEM), and Spatial Lag Model (SLM). Finally, this paper will suggest the use of spatial analysis in a COVID-19 related study
especially in Malaysia in future.
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