Challenges of Testing COVID-19 Cases in Bangladesh

Keeping the dynamic nature of Coronaviruses (COVID-19) pandemic in mind, we have opted to explore the importance of the decentralization of COVID-19 testing centers across the country of Bangladesh in order to combat the pandemic. In doing so, we considered quantitative, qualitative, and geographic information systems (GIS) datasets to identify the location of existing COVID-19 testing centers. Moreover, we attempted to collect data from the existing centers in order to demonstrate testing times at the divisional level of the country. Results show that the number of testing centers is not enough to cater to the vast population of the country. Additionally, we found that the number of days it takes to receive the results from the COVID-19 testing centers is not optimal at divisional cities, let alone the remote rural areas. Finally, we propose a set of recommendations in order to enhance the existing system to assist more people under a testing range of COVID-19 viruses at the local level.

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Corrigendum to “A geographic information systems (GIS) and spatial modeling approach to assessing indoor radon potential at local level”

Applied Radiation and Isotopes ◽

10.1016/j.apradiso.2006.07.001 ◽

2006 ◽

Vol 64 (12) ◽

pp. 1665

Author(s):

Joey Y. Zhou ◽

Igor Laćan ◽

Kai-Shen Liu ◽

Jed Waldman

Keyword(s):

Information Systems ◽

Geographic Information Systems ◽

Spatial Modeling ◽

Indoor Radon ◽

Local Level ◽

Geographic Information ◽

Modeling Approach ◽

Radon Potential

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Developing geographic information systems platforms for multijurisdictional transportation analyses: framework and techniques for spatial data sharing

Canadian Journal of Civil Engineering ◽

10.1139/l03-039 ◽

2003 ◽

Vol 30 (5) ◽

pp. 807-818 ◽

Cited By ~ 1

Author(s):

Kai Han ◽

Scott Minty ◽

Alan Clayton

Keyword(s):

Information Systems ◽

Geographic Information Systems ◽

Data Sharing ◽

Spatial Data ◽

Rural Areas ◽

Geographic Information ◽

Data Sets ◽

Data Interoperability ◽

Urban And Rural Areas ◽

Integration Data

Geographic information systems (GISs) have been presented as a powerful analysing tool for civil engineers to help their decision-making processes. Building GIS platforms for transportation analysis involving multiple jurisdictions has been challenging, however, because of the complexity and difficulty associated with conducting data sharing and ensuring spatial data interoperability among GISs for transportation (GIS-T) data sets. In the context of western Canadian urban and rural areas, this paper investigates the issues related to GIS-T data sharing, establishes a conceptual framework, develops techniques supporting the framework by solving recurring data-sharing problems, and constructs a number of GIS-T platforms facilitating comprehensive multijurisdictional transportation analyses. In addition, based on the knowledge gained through solving real-world problems, the authors propose an open GIS-T platform consisting of a series of customized base maps, each being tailored to suit the needs of individual application and, as a whole, linked together by interoperability to better support transportation applications.Key words: transportation engineering analysis, GIS, GIS-T, spatial data, interoperability, integration, data sharing.

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