Epidemiological Analysis of SARS-CoV-2 Transmission Dynamics in the State of Odisha, India: A Yearlong Exploratory Data Analysis
COVID-19 remains a matter of global public health concern. Previous research suggested the association between local environmental factors and viral transmission. We present a multivariate observational analysis of SARS-CoV-2 transmission in the state of Odisha, India, hinting at a seasonal activity...
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oai:doaj.org-article:2daea335d3794977814b8954b640ecd52021-11-11T16:21:09ZEpidemiological Analysis of SARS-CoV-2 Transmission Dynamics in the State of Odisha, India: A Yearlong Exploratory Data Analysis10.3390/ijerph1821112031660-46011661-7827https://doaj.org/article/2daea335d3794977814b8954b640ecd52021-10-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11203https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601COVID-19 remains a matter of global public health concern. Previous research suggested the association between local environmental factors and viral transmission. We present a multivariate observational analysis of SARS-CoV-2 transmission in the state of Odisha, India, hinting at a seasonal activity. We aim to investigate the demographic characteristics of COVID-19 in the Indian state of Odisha for two specific timelines in 2020 and 2021. For a comparative outlook, we chose similar datasets from the state of New York, USA. Further, we present a critical analysis pertaining to the effects of environmental factors and the emergence of variants on SARS-CoV-2 transmission and persistence. We assessed the datasets for confirmed cases, death, age, and gender for 29 February 2020 to 31 May 2020, and 1 March 2021 to 31 May 2021. We determined the case fatalities, crude death rates, sex ratio, and incidence rates for both states along with monthly average temperature analysis. A yearlong epi-curve analysis was conducted to depict the coronavirus infection spread pattern in the respective states. The Indian state of Odisha reported a massive 436,455 confirmed cases and 875 deaths during the 2021 timeline as compared to a mere 2223 cases and 7 deaths during the 2020 timeline. We further discuss the demographic and temperature association of SARS-CoV-2 transmission during early 2020 and additionally comment on the variant-associated massive rise in cases during 2021. Along with the rapid rise of variants, the high population density and population behavior seem to be leading causes for the 2021 pandemic, whereas factors such as age group, gender, and average local temperature were prominent during the 2020 spread. A seasonal occurrence of SARS-CoV-2 transmission is also observed from the yearlong epidemiological plot. The recent second wave of COVID-19 is a lesson that emphasizes the significance of continuous epidemiological surveillance to predict the relative risk of viral transmission for a specific region.Sourya Subhra NaskerAnanya NandaBalamurugan RamadassSasmita NayakMDPI AGarticleSARS-CoV-2COVID-19epidemiological surveillancetemperature effectpopulation-based studiespreventionMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11203, p 11203 (2021) |
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SARS-CoV-2 COVID-19 epidemiological surveillance temperature effect population-based studies prevention Medicine R |
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SARS-CoV-2 COVID-19 epidemiological surveillance temperature effect population-based studies prevention Medicine R Sourya Subhra Nasker Ananya Nanda Balamurugan Ramadass Sasmita Nayak Epidemiological Analysis of SARS-CoV-2 Transmission Dynamics in the State of Odisha, India: A Yearlong Exploratory Data Analysis |
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COVID-19 remains a matter of global public health concern. Previous research suggested the association between local environmental factors and viral transmission. We present a multivariate observational analysis of SARS-CoV-2 transmission in the state of Odisha, India, hinting at a seasonal activity. We aim to investigate the demographic characteristics of COVID-19 in the Indian state of Odisha for two specific timelines in 2020 and 2021. For a comparative outlook, we chose similar datasets from the state of New York, USA. Further, we present a critical analysis pertaining to the effects of environmental factors and the emergence of variants on SARS-CoV-2 transmission and persistence. We assessed the datasets for confirmed cases, death, age, and gender for 29 February 2020 to 31 May 2020, and 1 March 2021 to 31 May 2021. We determined the case fatalities, crude death rates, sex ratio, and incidence rates for both states along with monthly average temperature analysis. A yearlong epi-curve analysis was conducted to depict the coronavirus infection spread pattern in the respective states. The Indian state of Odisha reported a massive 436,455 confirmed cases and 875 deaths during the 2021 timeline as compared to a mere 2223 cases and 7 deaths during the 2020 timeline. We further discuss the demographic and temperature association of SARS-CoV-2 transmission during early 2020 and additionally comment on the variant-associated massive rise in cases during 2021. Along with the rapid rise of variants, the high population density and population behavior seem to be leading causes for the 2021 pandemic, whereas factors such as age group, gender, and average local temperature were prominent during the 2020 spread. A seasonal occurrence of SARS-CoV-2 transmission is also observed from the yearlong epidemiological plot. The recent second wave of COVID-19 is a lesson that emphasizes the significance of continuous epidemiological surveillance to predict the relative risk of viral transmission for a specific region. |
format |
article |
author |
Sourya Subhra Nasker Ananya Nanda Balamurugan Ramadass Sasmita Nayak |
author_facet |
Sourya Subhra Nasker Ananya Nanda Balamurugan Ramadass Sasmita Nayak |
author_sort |
Sourya Subhra Nasker |
title |
Epidemiological Analysis of SARS-CoV-2 Transmission Dynamics in the State of Odisha, India: A Yearlong Exploratory Data Analysis |
title_short |
Epidemiological Analysis of SARS-CoV-2 Transmission Dynamics in the State of Odisha, India: A Yearlong Exploratory Data Analysis |
title_full |
Epidemiological Analysis of SARS-CoV-2 Transmission Dynamics in the State of Odisha, India: A Yearlong Exploratory Data Analysis |
title_fullStr |
Epidemiological Analysis of SARS-CoV-2 Transmission Dynamics in the State of Odisha, India: A Yearlong Exploratory Data Analysis |
title_full_unstemmed |
Epidemiological Analysis of SARS-CoV-2 Transmission Dynamics in the State of Odisha, India: A Yearlong Exploratory Data Analysis |
title_sort |
epidemiological analysis of sars-cov-2 transmission dynamics in the state of odisha, india: a yearlong exploratory data analysis |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/2daea335d3794977814b8954b640ecd5 |
work_keys_str_mv |
AT souryasubhranasker epidemiologicalanalysisofsarscov2transmissiondynamicsinthestateofodishaindiaayearlongexploratorydataanalysis AT ananyananda epidemiologicalanalysisofsarscov2transmissiondynamicsinthestateofodishaindiaayearlongexploratorydataanalysis AT balamuruganramadass epidemiologicalanalysisofsarscov2transmissiondynamicsinthestateofodishaindiaayearlongexploratorydataanalysis AT sasmitanayak epidemiologicalanalysisofsarscov2transmissiondynamicsinthestateofodishaindiaayearlongexploratorydataanalysis |
_version_ |
1718432344719753216 |