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Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India

The new pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated at Wuhan, Hubei province, China in December 2019, threatening the world and becomes the public health crisis throughout the globe. Due to changing data and behavior of the current epidemic, approp...

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Autores principales: Singh, Harjit Pal, Khullar, Vikas, Sharma, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327483/
http://dx.doi.org/10.1007/s41133-020-00037-9
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author Singh, Harjit Pal
Khullar, Vikas
Sharma, Monica
author_facet Singh, Harjit Pal
Khullar, Vikas
Sharma, Monica
author_sort Singh, Harjit Pal
collection PubMed
description The new pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated at Wuhan, Hubei province, China in December 2019, threatening the world and becomes the public health crisis throughout the globe. Due to changing data and behavior of the current epidemic, appropriate pharmacological techniques to cure are getting delayed day by day. The estimated trends of the global and Indian region for COVID-19 epidemic were predicted for the next 21 days till 05/05/2020 on the data recorded till 14/04/2020 in the present work. The main focus of the work was to estimate the trends of COVID-19 outbreak on population, especially the high-risk age group of elderly people (with age 50 years and greater) in the Republic of India. It was observed that this identified age-group could be more prone to SARS-CoV-2 virus infection and chances of death in this age group could be more. The high-risk Indian states/regions were also identified throughout the nation and trends for infection, death, and cured cases were predicted for the next 21 days. The outcome of the present work was presented in terms of suggestions that the proper social and medical care for the identified high-risk age group of elderly people of the Indian population should be required to prevent the COVID-19 community transmission. The work also supported the extension in countrywide proper lockdown, mass testing, and also the strict rules to follow social distancing.
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spelling pubmed-73274832020-07-01 Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India Singh, Harjit Pal Khullar, Vikas Sharma, Monica Augment Hum Res Original Paper The new pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated at Wuhan, Hubei province, China in December 2019, threatening the world and becomes the public health crisis throughout the globe. Due to changing data and behavior of the current epidemic, appropriate pharmacological techniques to cure are getting delayed day by day. The estimated trends of the global and Indian region for COVID-19 epidemic were predicted for the next 21 days till 05/05/2020 on the data recorded till 14/04/2020 in the present work. The main focus of the work was to estimate the trends of COVID-19 outbreak on population, especially the high-risk age group of elderly people (with age 50 years and greater) in the Republic of India. It was observed that this identified age-group could be more prone to SARS-CoV-2 virus infection and chances of death in this age group could be more. The high-risk Indian states/regions were also identified throughout the nation and trends for infection, death, and cured cases were predicted for the next 21 days. The outcome of the present work was presented in terms of suggestions that the proper social and medical care for the identified high-risk age group of elderly people of the Indian population should be required to prevent the COVID-19 community transmission. The work also supported the extension in countrywide proper lockdown, mass testing, and also the strict rules to follow social distancing. Springer Singapore 2020-07-01 2020 /pmc/articles/PMC7327483/ http://dx.doi.org/10.1007/s41133-020-00037-9 Text en © Springer Nature Singapore Pte Ltd. 2020 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 Original Paper
Singh, Harjit Pal
Khullar, Vikas
Sharma, Monica
Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India
title Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India
title_full Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India
title_fullStr Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India
title_full_unstemmed Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India
title_short Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India
title_sort estimating the impact of covid-19 outbreak on high-risk age group population in india
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327483/
http://dx.doi.org/10.1007/s41133-020-00037-9
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