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Spatiotemporal patterns and trends of community transmission of the pandemic COVID-19 in South Asia: Bangladesh as a case study

South Asian (SA) countries have been fighting with the pandemic novel coronavirus disease 2019 (COVID-19) since January 2020. Earlier, the country-specific descriptive study has been done. Nevertheless, as transboundary infection, the border sharing, shared cultural and behavioral practice, effects...

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Autores principales: Islam, Ariful, Sayeed, Md. Abu, Rahman, Md. Kaisar, Ferdous, Jinnat, Shano, Shahanaj, Choudhury, Shusmita Dutta, Hassan, Mohammad Mahmudul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chinese Medical Association Publishing House. Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510419/
https://www.ncbi.nlm.nih.gov/pubmed/32989431
http://dx.doi.org/10.1016/j.bsheal.2020.09.006
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author Islam, Ariful
Sayeed, Md. Abu
Rahman, Md. Kaisar
Ferdous, Jinnat
Shano, Shahanaj
Choudhury, Shusmita Dutta
Hassan, Mohammad Mahmudul
author_facet Islam, Ariful
Sayeed, Md. Abu
Rahman, Md. Kaisar
Ferdous, Jinnat
Shano, Shahanaj
Choudhury, Shusmita Dutta
Hassan, Mohammad Mahmudul
author_sort Islam, Ariful
collection PubMed
description South Asian (SA) countries have been fighting with the pandemic novel coronavirus disease 2019 (COVID-19) since January 2020. Earlier, the country-specific descriptive study has been done. Nevertheless, as transboundary infection, the border sharing, shared cultural and behavioral practice, effects on the temporal and spatial distribution of COVID-19 in SA is still unveiled. Therefore, this study has been revealed the spatial hotspot along with descriptive output on different parameters of COVID-19 infection. We extracted data from the WHO and the worldometer database from the onset of the outbreak up to 15 May, 2020. Europe has the highest case fatality rate (CFR, 9.22%), whereas Oceania has the highest (91.15%) recovery rate from COVID-19. Among SA countries, India has the highest number of cases (85,790), followed by Pakistan (38,799) and Bangladesh (20,065). However, the number of tests conducted was minimum in this region in comparison with other areas. The highest CFR was recorded in India (3.21%) among SA countries, whereas Nepal and Bhutan had no death record due to COVID-19 so far. The recovery rate varies from 4.75% in the Maldives to 51.02% in Sri Lanka. In Bangladesh, community transmission has been recorded, and the highest number of cases were detected in Dhaka, followed by Narayanganj and Chattogram. We detected Dhaka and its surrounding six districts, namely Gazipur, Narsingdi, Narayanganj, Munshiganj, Manikganj, and Shariatpur, as the 99% confidence-based hotspot where Faridpur and Madaripur district as the 95% confidence-based spatial hotspots of COVID-19 in Bangladesh. However, we did not find any cold spots in Bangladesh. We identified three hotspots and three cold spots at different confidence levels in India. Findings from this study suggested the “Test, Trace, and Isolation” approach for earlier detection of infection to prevent further community transmission of COVID-19.
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spelling pubmed-75104192020-09-24 Spatiotemporal patterns and trends of community transmission of the pandemic COVID-19 in South Asia: Bangladesh as a case study Islam, Ariful Sayeed, Md. Abu Rahman, Md. Kaisar Ferdous, Jinnat Shano, Shahanaj Choudhury, Shusmita Dutta Hassan, Mohammad Mahmudul Biosaf Health Article South Asian (SA) countries have been fighting with the pandemic novel coronavirus disease 2019 (COVID-19) since January 2020. Earlier, the country-specific descriptive study has been done. Nevertheless, as transboundary infection, the border sharing, shared cultural and behavioral practice, effects on the temporal and spatial distribution of COVID-19 in SA is still unveiled. Therefore, this study has been revealed the spatial hotspot along with descriptive output on different parameters of COVID-19 infection. We extracted data from the WHO and the worldometer database from the onset of the outbreak up to 15 May, 2020. Europe has the highest case fatality rate (CFR, 9.22%), whereas Oceania has the highest (91.15%) recovery rate from COVID-19. Among SA countries, India has the highest number of cases (85,790), followed by Pakistan (38,799) and Bangladesh (20,065). However, the number of tests conducted was minimum in this region in comparison with other areas. The highest CFR was recorded in India (3.21%) among SA countries, whereas Nepal and Bhutan had no death record due to COVID-19 so far. The recovery rate varies from 4.75% in the Maldives to 51.02% in Sri Lanka. In Bangladesh, community transmission has been recorded, and the highest number of cases were detected in Dhaka, followed by Narayanganj and Chattogram. We detected Dhaka and its surrounding six districts, namely Gazipur, Narsingdi, Narayanganj, Munshiganj, Manikganj, and Shariatpur, as the 99% confidence-based hotspot where Faridpur and Madaripur district as the 95% confidence-based spatial hotspots of COVID-19 in Bangladesh. However, we did not find any cold spots in Bangladesh. We identified three hotspots and three cold spots at different confidence levels in India. Findings from this study suggested the “Test, Trace, and Isolation” approach for earlier detection of infection to prevent further community transmission of COVID-19. Chinese Medical Association Publishing House. Published by Elsevier B.V. 2021-02 2020-09-23 /pmc/articles/PMC7510419/ /pubmed/32989431 http://dx.doi.org/10.1016/j.bsheal.2020.09.006 Text en © 2021 Chinese Medical Association Publishing House. Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Islam, Ariful
Sayeed, Md. Abu
Rahman, Md. Kaisar
Ferdous, Jinnat
Shano, Shahanaj
Choudhury, Shusmita Dutta
Hassan, Mohammad Mahmudul
Spatiotemporal patterns and trends of community transmission of the pandemic COVID-19 in South Asia: Bangladesh as a case study
title Spatiotemporal patterns and trends of community transmission of the pandemic COVID-19 in South Asia: Bangladesh as a case study
title_full Spatiotemporal patterns and trends of community transmission of the pandemic COVID-19 in South Asia: Bangladesh as a case study
title_fullStr Spatiotemporal patterns and trends of community transmission of the pandemic COVID-19 in South Asia: Bangladesh as a case study
title_full_unstemmed Spatiotemporal patterns and trends of community transmission of the pandemic COVID-19 in South Asia: Bangladesh as a case study
title_short Spatiotemporal patterns and trends of community transmission of the pandemic COVID-19 in South Asia: Bangladesh as a case study
title_sort spatiotemporal patterns and trends of community transmission of the pandemic covid-19 in south asia: bangladesh as a case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510419/
https://www.ncbi.nlm.nih.gov/pubmed/32989431
http://dx.doi.org/10.1016/j.bsheal.2020.09.006
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