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Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243987/ https://www.ncbi.nlm.nih.gov/pubmed/35789672 http://dx.doi.org/10.1007/s10708-022-10680-x |
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author | Saravanabavan, V. Emayavaramban, V. Thangamani, V. Manonmani, I. K. Rose, R. S. Suja Balaji, D. Nisha, R. Rahamath Kannadasan, K. Vinothkanna, S. Vinothini, C. |
author_facet | Saravanabavan, V. Emayavaramban, V. Thangamani, V. Manonmani, I. K. Rose, R. S. Suja Balaji, D. Nisha, R. Rahamath Kannadasan, K. Vinothkanna, S. Vinothini, C. |
author_sort | Saravanabavan, V. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9243987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-92439872022-06-30 Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave Saravanabavan, V. Emayavaramban, V. Thangamani, V. Manonmani, I. K. Rose, R. S. Suja Balaji, D. Nisha, R. Rahamath Kannadasan, K. Vinothkanna, S. Vinothini, C. GeoJournal Article 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. Springer Netherlands 2022-06-28 2023 /pmc/articles/PMC9243987/ /pubmed/35789672 http://dx.doi.org/10.1007/s10708-022-10680-x Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Saravanabavan, V. Emayavaramban, V. Thangamani, V. Manonmani, I. K. Rose, R. S. Suja Balaji, D. Nisha, R. Rahamath Kannadasan, K. Vinothkanna, S. Vinothini, C. Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave |
title | Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave |
title_full | Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave |
title_fullStr | Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave |
title_full_unstemmed | Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave |
title_short | Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave |
title_sort | spatial variation of covid-19 morbidity status and identification of risk zone in tamil nadu (india) during first wave |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243987/ https://www.ncbi.nlm.nih.gov/pubmed/35789672 http://dx.doi.org/10.1007/s10708-022-10680-x |
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