Geographical Appraisal of COVID-19 in West Bengal, India

被引：10

作者：

Biswas, Biplab ^{[1
]}

Roy, Rabindranath ^{[2
]}

Roy, Tanusri ^{[1
]}

Chowdhury, Sumanta ^{[1
]}

Dhara, Asish ^{[1
]}

Mistry, Kamonasish ^{[1
]}

机构：

[1] Univ Burdwan, Dept Geog, Purba Bardhaman 703104, W Bengal, India

[2] Burdwan Med Coll & Hosp, Dept Community Med, Burdwan 713104, W Bengal, India

来源：

GEOJOURNAL | 2022年 / 87卷 / 04期

基金：

英国科研创新办公室;

关键词：

COVID-19; West bengal; Geographical factor; Urbanization; Population density; Nonworking population; Forest; SARS-COV-2; INFECTION; AIR-QUALITY; LOCKDOWN; IMPACT; PERSPECTIVE; DELHI;

D O I：

10.1007/s10708-021-10388-4

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

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.

引用

页码：2641 / 2662

页数：22

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