Biswas Biplab, Roy Rabindranath, Roy Tanusri, Chowdhury Sumanta, Dhara Asish, Mistry Kamonasish
Department of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, 703104 India.
Department of Community Medicine, Burdwan Medical College and Hospital, Burdwan, 713104 India.
GeoJournal. 2022;87(4):2641-2662. doi: 10.1007/s10708-021-10388-4. Epub 2021 Feb 22.
Study shows that COVID-19 cases, deaths and recoveries vary in macro level. Geographical phenomena may act as potential controlling factor. The present paper investigates spatial pattern of COVID-19 cases and deaths in West Bengal (WB), India and assumes Kolkata is the source region of this disease in WB. Thematic maps on COVID related issues are prepared with the help of QGIS 3.10 software. As on 15th January 2021, WB has 564032 number of COVID-19 cases which is 0.618% to the total population of the state. However, the COVID-19 case for India is 0.843% and for world is 1.341% to its total population. Lorenz Curve shows skewed distribution of the COVID-19 cases in WB. 17 (90%) districts hold 84.11% of the total population and carry 56.30% of the total COVID-19 cases. However, the remaining two districts-Kolkata and North 24 Parganas-hold remaining 43.70% COVID-19 cases. Correlation coefficient with COVID-19 cases and Population Density, Urban Population and Concrete Roof of their house are significant at 1% level of significance.
研究表明，新冠疫情的病例、死亡及康复情况在宏观层面存在差异。地理现象可能是潜在的控制因素。本文调查了印度西孟加拉邦（WB）新冠病例和死亡的空间格局，并假设加尔各答是该邦这种疾病的源发地区。借助QGIS 3.10软件绘制了与新冠相关问题的专题地图。截至2021年1月15日，西孟加拉邦有564032例新冠病例，占该邦总人口的0.618%。然而，印度的新冠病例占其总人口的0.843%，全球的这一比例为1.341%。洛伦兹曲线显示西孟加拉邦新冠病例分布不均衡。17个（90%）区拥有该邦84.11%的总人口，却承载了56.30%的新冠病例总数。然而，其余两个区——加尔各答和北24帕根那斯——占其余43.70%的新冠病例。新冠病例与人口密度、城市人口及其房屋混凝土屋顶之间的相关系数在1%的显著性水平上具有显著性。
