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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chinese Medical Association Publishing House. Published by Elsevier B.V.
2021
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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. |
format | Online Article Text |
id | pubmed-7510419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Chinese Medical Association Publishing House. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
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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