Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave

Autor: V. Saravanabavan, V. Emayavaramban, V. Thangamani, I. K. Manonmani, R. S. Suja Rose, D. Balaji, R. Rahamath Nisha, K. Kannadasan, S. Vinothkanna, C. Vinothini
Rok vydání: 2022
Předmět:
Zdroj: GeoJournal.
ISSN: 0343-2521
Popis: COVID-19 is a pandemic disease caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2). The study area, Tamilnadu, is a southern state in India. The present study demonstrates the significance of mapping in identifying the risk zones of COVID-19 disease by taking a study of COVID-19 cases in Tamilnadu state. The main objective of the study was to identify the risk zone of COVID-19 disease in the first wave of Tamilnadu through geospatial mapping. Data on COVID-19 cases collected during March 2020 to March 2021 month wise in all 37 districts (unit area) of Tamilnadu in two-month interval wise was analysed. The study is based on secondary sources from respective office in Tamilnadu. Z-score techniques were used for standardizing data. Correlation analysis provided a measure of correlation between COVID-19 and working population. Location Quotient analysis aided the identification of COVID-19 risk zones in Tamilnadu. Present study indicates tertiary workers are more vulnerable to COVID-19 disease.
Databáze: OpenAIRE
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