https://doi.org/10.4081/gh.2021.954
Role of transport network accessibility in the spread of COVID-19 - a case study in Savar Upazila, Bangladesh
Submitted: 30 October 2020
Accepted: 23 January 2021
Published: 11 March 2021
Accepted: 23 January 2021
Abstract Views: 2036
PDF: 661
Appendix: 110
HTML: 142
Appendix: 110
HTML: 142
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
The aim of this research was to test the hypothesis that people in a typical high-transport zone are particularly vulnerable with respect to transmission of coronavirus disease 2019 (COVID-19), a new contagious disease that has rapidly developed into a highrisk global problem. A case study was carried out in Savar Upazila, a sub-district of the capital city Dhaka in Bangladesh, which is traversed by a prominent national highway (Dhaka- Aricha-N5) that also passes the concentric industrial export processing zone surrounding Dhaka. This municipality is thus part of a high-density transport network with extensive economic activities. COVID-19 data were collected from local records at the Upazila Health Complex, while spatial data of the Savar Upazila, including the pertinent road network, were identified and digitized using geographical information systems software. The presence of COVID-19 in in Savar Upazila was found to be strongly associated with the reach and mechanism of transport networks (Pearson correlation = 0.76 with 99% confidence interval).
Arif M, Gupta K, 2020. Application of graph-based model for the quantification of transport network in peri-urban interface of Burdwan City, India. Spat Inf Res 28:447-57.
DOI: https://doi.org/10.1007/s41324-019-00305-w
Ballard M, 2020. How big of a factor were commuters in spreading coronavirus in Louisiana? Available from: https://www.theadvocate.com/baton_rouge/news/coronavirus/article_0c1164ce-7d00-11ea-a416-53129213c596.html Accessed: 12 April 2020.
Bergquist R, Stengaard A-S, 2020. COVID-19: End of the beginning? Geospat Health 15:6-10.
DOI: https://doi.org/10.4081/gh.2020.897
Dhaka Tribune, 2020. Savar confirms its first coronavirus case; 14 April 2020. Available from: https://www.dhakatribune.com/bangladesh/nation/2020/04/14/savar-confirms-its-first-coronavirus-case Accessed: 14 April 2020.
Getis A, Ord JK, 1992. The analysis of spatial association by use of distance statistics. Geogr Anal 24:189-206.
DOI: https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
Guimera R, Mossa S, Turtschi A, Amaral LAN, 2005. The worldwide air transportation network: anomalous centrality, community structure, and cities’ global roles. Proc Natl Acad Sci U S A 102:7794-9.
DOI: https://doi.org/10.1073/pnas.0407994102
Hafsa B, Mahmud KH, Ahmed R, 2020. COVID-19 cases in Savar Upazila of Bangladesh: a geographical inquiry. Glob Sci J 8:549-66.
Kansky KJ, 1963. Structure of transport networks: relationships between network geometry and regional characteristics. Dept. of Geography, University of Chicago, Chicago, IL, USA. Research Paper No. 84, pp. 155.
Ma J, 2020. Coronavirus: China’s first confirmed COVID-19 case traced back to November 17. South China Morning Post of 13 March 2020. Available from: www.scmp.com
Reuters, 2020. Information given on 8 March 2020. Available from: https://www.reuters.com/article/us-health-coronavirus-bangladesh-idUSKBN20V0FS Accessed: 20 January 2021.
Rodrigue JP, Luke T, Osterholm M, 2020. B.19 - Transportation and pandemics. In: J.-P. Rodrigue (Ed.), Geography of transport systems, 5th edn. Routledge, New York, NY, USA, pp. 456.
Saxena HM, 2010. Transport geography. Rawat Publication, Jaipur and New Delhi, India, pp. 54-70.
Shimbel A, 1951. Applications of matrix algebra to communication nets. Bull Math Biophys 13:165-78.
DOI: https://doi.org/10.1007/BF02478225
Shimbel A, 1953. Structural parameters of communication networks. Bull Math Biophys 15:501-7.
DOI: https://doi.org/10.1007/BF02476438
Sultana N, Alam AKMR, HoqueS, 2017. Some physical and chemical characteristics of soil in selected wetlands at Savar, Bangladesh. Jahangirnagar University Environ Bull 6:13-26. Available from: https://www.researchgate.net/publication/324419470_Some_Physical_and_Chemical_Characteristics_of_Soil_in_Selected_Wetlands_at_Savar_Bangladesh Accessed: 20 January 2021.
Taubenberger JK, Morens DM, 2020. The 1918 influenza pandemic and its legacy. Cold Spring Harb Perspect Med 10:a038695.
DOI: https://doi.org/10.1101/cshperspect.a038695
Tatem AJ, Hay SI, Rogers DJ, 2006. Global traffic and disease vector dispersal. Proc Natl Acad Sci U S A 103:6242-47.
DOI: https://doi.org/10.1073/pnas.0508391103
WHO (World Health Organization), 2018‎. Managing epidemics: key facts about major deadly diseases. World Health Organization, Geneva, Switzerland. Available from: https://apps.who.int/iris/handle/10665/272442
WHO (World Health Organization), 2020. Morbidity and mortality; 30 November 2020. Weekly update (MMWU). No. 40. World Health Organization, Geneva, Switzerland. Available from: https://www.who.int/docs/default-source/searo/bangladesh/COVID-19-who-bangladesh-situation-reports/who_COVID-19-update_40_20201130.pdf?sfvrsn=3bb2e6fb_24
How to Cite
Mahmud, K. H., Hafsa, B., & Ahmed, R. (2021). Role of transport network accessibility in the spread of COVID-19 - a case study in Savar Upazila, Bangladesh. Geospatial Health, 16(1). https://doi.org/10.4081/gh.2021.954
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
Similar Articles
- Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña, Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city , Geospatial Health: Vol. 11 No. 3 (2016)
- Nnadozie Onyiri, Estimating malaria burden in Nigeria: a geostatistical modelling approach , Geospatial Health: Vol. 10 No. 2 (2015)
- João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes, Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study , Geospatial Health: Vol. 18 No. 2 (2023)
- Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou, Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data , Geospatial Health: Vol. 10 No. 1 (2015)
- Dwi Sarwani Sri Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah, Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia , Geospatial Health: Vol. 17 No. 1 (2022)
- Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani, Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features , Geospatial Health: Vol. 18 No. 2 (2023)
- Alessandra Capolupo, Stefania Pindozzi, Collins Okello, Lorenzo Boccia, Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models , Geospatial Health: Vol. 8 No. 3 (2014)
- Juree Sansuk, Kittipong Sornlorm, Spatial associations between chronic kidney disease and socio-economic factors in Thailand , Geospatial Health: Vol. 19 No. 1 (2024)
- Leonard E.G. Mboera, Veneranda M. Bwana, Susan F. Rumisha, Grades Stanley, Patrick K. Tungu, Robert C. Malima, Spatial abundance and human biting rate of Anopheles arabiensis and Anopheles funestus in savannah and rice agro-ecosystems of Central Tanzania , Geospatial Health: Vol. 10 No. 1 (2015)
- Aizada A. Mukhanbetkaliyeva, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Zhanat S. Adilbekov, Assylbek A. Zhanabayev, Assem Z. Abenova, Fedor I. Korennoy, Sarsenbay K. Abdrakhmanov, Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan , Geospatial Health: Vol. 19 No. 2 (2024)
<< < 16 17 18 19 20 21 22 23 24 25 > >>
You may also start an advanced similarity search for this article.
