About: Space-time patterns, change, and propagation of COVID-19 risk relative to the intervention scenarios in Bangladesh

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About: Space-time patterns, change, and propagation of COVID-19 risk relative to the intervention scenarios in Bangladesh Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Space-time patterns, change, and propagation of COVID-19 risk relative to the intervention scenarios in Bangladesh
Creator	Luo, Wei Dewan, Ashraf Masrur, Arif Yu, Manzhu
source	MedRxiv
abstract	The novel coronavirus (COVID-19) pandemic continues to be a significant public health threat worldwide. As of mid-June 2020, COVID-19 has spread worldwide with more than 7.7 million confirmed cases and more than 400,000 deaths. The impacts are substantial particularly in developing and densely populated countries like Bangladesh with inadequate health care facilities, where COVID-19 cases are currently surging. While early detection and isolation were identified as important non-pharmaceutical intervention (NPI) measures for containing the disease spread, this may not be pragmatically implementable in developing countries primarily due to social and economic reasons (i.e. poor education, less public awareness, massive unemployment). To shed light on COVID-19 transmission dynamics and impacts of NPI scenarios, e.g. social distancing, this study conducted emerging pattern analysis using the space-time scan statistic at district and thana (i.e. a sub-district or 'upazila' with at least one police station) levels in Bangladesh and its capital Dhaka city, respectively. We found that the central and south eastern regions in Bangladesh are currently exhibiting a high risk of COVID-19 transmission. Dhaka megacity remains as the highest risk %22active%22 cluster since early April. The space-time progression of COVID-19 infection, when validated against the chronicle of government press releases and newspaper reports, suggests that Bangladesh have experienced a community level transmission at the early phase (i.e., March, 2020) primarily introduced by Bangladeshi citizens returning from coronavirus-affected countries in the Europe and the Middle East. A linkage is evident between the violation of NPIs and post-incubation period emergence of new clusters with elevated exposure risk around Bangladesh. This study provides novel insights into the space-time patterns of COVID-19 transmission dynamics and recommends pragmatic NPI implementation for reducing disease transmission and minimizing impacts in a resource-scarce country with Bangladesh as a case-study example.
has issue date	2020-07-16(xsd:dateTime)
bibo:doi	10.1101/2020.07.15.20154757
has license	medrxiv
sha1sum (hex)	a06799a29fa625774468080ef2a8523fa97dfdfe
schema:url	https://doi.org/10.1101/2020.07.15.20154757
resource representing a document's title	Space-time patterns, change, and propagation of COVID-19 risk relative to the intervention scenarios in Bangladesh
resource representing a document's body	covid:a06799a29fa625774468080ef2a8523fa97dfdfe#body_text
is schema:about of	named entity 'returning' named entity 'health care' named entity 'capital' named entity 'worldwide' covid:arg/a06799a29fa625774468080ef2a8523fa97dfdfe »more»

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