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Exploring spatial distribution pattern of COVID-19 incidence in Telangana state, India
The outbreak of coronavirus (COVID-19) disease is essentially considered as a severe global public health disaster and the biggest challenge that the people have met since the Second World War. The main aim of present study is to comprehend the frequency trends of total confirmed cases, currently ac...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972683/ http://dx.doi.org/10.1007/s41324-022-00445-6 |
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author | Adimalla, Narsimha Manne, Ravi Qian, Hui |
author_facet | Adimalla, Narsimha Manne, Ravi Qian, Hui |
author_sort | Adimalla, Narsimha |
collection | PubMed |
description | The outbreak of coronavirus (COVID-19) disease is essentially considered as a severe global public health disaster and the biggest challenge that the people have met since the Second World War. The main aim of present study is to comprehend the frequency trends of total confirmed cases, currently active cases, total recovery cases, deceased rate, and their distribution pattern in the mainland of Telangana, India. As demonstrated in this study, during the first lockdown, the slopes of the confirmed cases, active cases, and mortality cases were kept increasing. In the middle of the potential second-term lockdown, the daily active incidence trend was progressively declined while the growth of the recovery rate was steadily increased. Results describe that the strict implementation of the lockdown procedure has tremendously built confidence in order to flattering the COVID-19 epidemic curve. Moreover, spatial distribution of confirmed cases of COVID-19 indicates that higher cases were recorded in Hyderabad and its surrounding areas of the investigated region. The outcome of this study will assuredly be helpful for executing certain precautionary measures and definite health policies to regulate the spread of COVID-19 in Telangana, India. |
format | Online Article Text |
id | pubmed-8972683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-89726832022-04-01 Exploring spatial distribution pattern of COVID-19 incidence in Telangana state, India Adimalla, Narsimha Manne, Ravi Qian, Hui Spat. Inf. Res. Article The outbreak of coronavirus (COVID-19) disease is essentially considered as a severe global public health disaster and the biggest challenge that the people have met since the Second World War. The main aim of present study is to comprehend the frequency trends of total confirmed cases, currently active cases, total recovery cases, deceased rate, and their distribution pattern in the mainland of Telangana, India. As demonstrated in this study, during the first lockdown, the slopes of the confirmed cases, active cases, and mortality cases were kept increasing. In the middle of the potential second-term lockdown, the daily active incidence trend was progressively declined while the growth of the recovery rate was steadily increased. Results describe that the strict implementation of the lockdown procedure has tremendously built confidence in order to flattering the COVID-19 epidemic curve. Moreover, spatial distribution of confirmed cases of COVID-19 indicates that higher cases were recorded in Hyderabad and its surrounding areas of the investigated region. The outcome of this study will assuredly be helpful for executing certain precautionary measures and definite health policies to regulate the spread of COVID-19 in Telangana, India. Springer Nature Singapore 2022-04-01 2022 /pmc/articles/PMC8972683/ http://dx.doi.org/10.1007/s41324-022-00445-6 Text en © The Author(s), under exclusive licence to Korean Spatial Information Society 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 Adimalla, Narsimha Manne, Ravi Qian, Hui Exploring spatial distribution pattern of COVID-19 incidence in Telangana state, India |
title | Exploring spatial distribution pattern of COVID-19 incidence in Telangana state, India |
title_full | Exploring spatial distribution pattern of COVID-19 incidence in Telangana state, India |
title_fullStr | Exploring spatial distribution pattern of COVID-19 incidence in Telangana state, India |
title_full_unstemmed | Exploring spatial distribution pattern of COVID-19 incidence in Telangana state, India |
title_short | Exploring spatial distribution pattern of COVID-19 incidence in Telangana state, India |
title_sort | exploring spatial distribution pattern of covid-19 incidence in telangana state, india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972683/ http://dx.doi.org/10.1007/s41324-022-00445-6 |
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