Epidemiological Analysis of Sars-CoV-2 Transmission Dynamics in the State of Odisha, India

A Yearlong Exploratory Data Analysis

Bibliographic Data

ID15460780
AuthorsSourya Subhra Nasker (0000-0002-5020-5595, KIIT University), Ananya Nanda (0000-0002-9266-2698, KIIT University), Balamurugan Ramadass (0000-0002-8158-230X, All India Institute of Medical Sciences Bhubaneswar), Sasmita Nayak (0000-0002-8663-5802, Institute of Medical Sciences, corresponding author)
Year2021
Volume18
Issue21
Pages11203-11203
Publication date2021-10-25
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph182111203
PMID34769722
OpenAlexW3209830312
LanguageEN
References cited55

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

Coronavirus disease 2019 (COVID-19 · Disease · Environmental health · Geography · Incidence (geometry · Infectious disease (medical specialty · Observational study · Pathology · Population · Timeline · Transmission (telecommunications · COVID-19 Clinical Research Studies · COVID-19 epidemiological studies · Demography · Medicine · SARS-CoV-2 and COVID-19 Research · Epidemiology

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