Interaksi Antarwilayah dan Sebaran Covid-19 di Provinsi Kalimantan Barat

Syaiful Muazir; L Lestari; Muhammad Ridha Alhamdani; Muhammad Nurhamsyah

doi:10.14710/jwl.9.1.18-33

DOI: https://doi.org/10.14710/jwl.9.1.18-33

Interaksi Antarwilayah dan Sebaran Covid-19 di Provinsi Kalimantan Barat

*Syaiful Muazir

- Program Studi Arsitektur, Fakultas Teknik, Universitas Tanjungpura, Indonesia

L Lestari - Program Studi Arsitektur, Fakultas Teknik, Universitas Tanjungpura, Indonesia

Muhammad Ridha Alhamdani - Program Studi Arsitektur, Fakultas Teknik, Universitas Tanjungpura, Indonesia

Muhammad Nurhamsyah - Program Studi Arsitektur, Fakultas Teknik, Universitas Tanjungpura, Indonesia

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

BibTex Citation Data :

@article{JWL8403,
    author = {Syaiful Muazir and L Lestari and Muhammad Ridha Alhamdani and Muhammad Nurhamsyah},
    title = {Interaksi Antarwilayah dan Sebaran Covid-19 di Provinsi Kalimantan Barat},
    journal = {Jurnal Wilayah dan Lingkungan},
  volume = {9},
    number = {1},
    year = {2021},
    keywords = {areas; Covid-19; West Kalimantan; interaction},
    abstract = {  Covid-19 is a disease that attacks the respiratory tract that began to be identified in Wuhan, China. WHO then announced the condition as a pandemic that quickly spread throughout the world. The rapid spread of the Coronavirus Pandemic (COVID-19) also occurred in West Kalimantan, Indonesia. In a spatial-temporal perspective, the spread of infectious diseases can be happened by the interconnectivity or interaction between areas, populations, and transportation facilities that facilitate community mobility. This research aims to describe the interactions between regions in West Kalimantan and the relation to the spread of the Covid-19 pandemic. The method used centrality measurement and cluster analysis, where the results of these calculations are then described in line with the distribution of the Covid-19 case in West Kalimantan. From the justification, areas with high centrality in the network configuration tend to have the most confirmed cases compared to other areas. The character of these areas tends to be the main entrance (air/port), the provincial capital, and the hub area in West Kalimantan, which is also included as the same cluster. Another interesting finding is that areas with low centrality, and included in the same cluster, have several people under surveillance which is quite large compared to the previous cluster. These areas tend to have a dense population and are directly related to the Provincial Capital and neighboring countries (border).  },
   issn = {2407-8751},   pages = {18--33}  doi = {10.14710/jwl.9.1.18-33},
    url = {https://ejournal2.undip.ac.id/index.php/jwl/article/view/8403}
}

Citation Format:

Abstract

Covid-19 is a disease that attacks the respiratory tract that began to be identified in Wuhan, China. WHO then announced the condition as a pandemic that quickly spread throughout the world. The rapid spread of the Coronavirus Pandemic (COVID-19) also occurred in West Kalimantan, Indonesia. In a spatial-temporal perspective, the spread of infectious diseases can be happened by the interconnectivity or interaction between areas, populations, and transportation facilities that facilitate community mobility. This research aims to describe the interactions between regions in West Kalimantan and the relation to the spread of the Covid-19 pandemic. The method used centrality measurement and cluster analysis, where the results of these calculations are then described in line with the distribution of the Covid-19 case in West Kalimantan. From the justification, areas with high centrality in the network configuration tend to have the most confirmed cases compared to other areas. The character of these areas tends to be the main entrance (air/port), the provincial capital, and the hub area in West Kalimantan, which is also included as the same cluster. Another interesting finding is that areas with low centrality, and included in the same cluster, have several people under surveillance which is quite large compared to the previous cluster. These areas tend to have a dense population and are directly related to the Provincial Capital and neighboring countries (border).

Note: This article has supplementary file(s).

Fulltext View|Download | Copyright Transfer Agreement

Copyright Transfer Agreement

Subject
Type	Copyright Transfer Agreement
	Download (1MB) Indexing metadata

Keywords: areas; Covid-19; West Kalimantan; interaction

Article Metrics:

Article Info

Section: Research Articles

Language : ID

In Vol 9, No 1 (2021): April 2021

Recent articles

Transformasi Lanskap dan Layanan Ekosistem Budaya di Area Peri-Urban: Wisata Alam dan Permukiman di Bandung Selatan Korelasi Karakteristik Fisik Rumah dan Tingkat Kerentanan Sosio-Ekonomi di Tepian Sungai Kapuas Pontianak Penilaian Zona Kerentanan Air Tanah Terhadap Pencemaran dengan Metode SINTACS di Ranai (Pulau Bunguran) More recent articles

Bajardi, P., Poletto, C., Ramasco, J. J., Tizzoni, M., Colizza, V., & Vespignani, A. (2011). Human mobility networks, travel restrictions, and the global spread of 2009 H1N1 pandemic. PLOS ONE, 6(1), 1–8. doi: 10.1371/journal.pone.0016591
Borgatti, S. (1995). Centrality and AIDS. Connections, 18(1), 111–113
Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). UCINET for windows: Software for social network analysis
Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Analyzing social networks (First Edit). SAGE Publications Ltd
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., Xia, J., Yu, T., Zhang, X., & Zhang, L. (2020). Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The Lancet, 395(10223), 507–513. doi: 10.1016/S0140-6736(20)30211-7
Dinas Kesehatan Provinsi Kalimantan Barat. (2020). Jumlah terpapar Covid-19 di Kalimantan Barat. https://dinkes.kalbarprov.go.id/covid-19/
Downs, J. A., & Horner, M. W. (2012). Probabilistic potential path trees for visualizing and analyzing vehicle tracking data. Journal of Transport Geography, 23, 72–80. doi: 10.1016/j.jtrangeo.2012.03.017
Dunn, F. L. (1958). Pandemic influenza in 1957: Review of international spread of new asian strain. Journal of the American Medical Association, 166(10), 1140–1148. doi: 10.1001/jama.1958.02990100028006
Edmonds, E. A. (2007). Reflections on the nature of interaction. CoDesign International Journal of CoCreation in Design and the Arts, 3(3), 139–143. doi: 10.1080/15710880701251427
Glasson, J., & Marshall, T. (2007). Regional planning. Routledge
Grais, R. F., Ellis, J. H., & Glass, G. E. (2003). Assessing the impact of airline travel on the geographic spread of pandemic influenza. European Journal of Epidemiology, 18(11), 1065–1072. doi: 10.1023/a:1026140019146
Guan, W., Ni, Z., Hu, Y., Liang, W., Ou, C., He, J., Liu, L., Shan, H., Lei, C., Hui, D. S. C., Du, B., Li, L., Zeng, G., Yuen, K. Y., Chen, R., Tang, C., Wang, T., Chen, P., Xiang, J., … Zhong, N. (2020). Clinical characteristics of coronavirus disease 2019 in China. New England Journal of Medicine, 382(18), 1708–1720. doi: 10.1056/NEJMoa2002032
Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. University of California, Riverside. http://faculty.ucr.edu/~hanneman/
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., … Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497–506. doi: 10.1016/S0140-6736(20)30183-5
Inaida, S., Yasui, Y., Tada, Y., Taniguchi, K., & Okabe, N. (2011). Geographic trends and spread of the pandemic (H1N1) 2009 in the metropolitan areas of Japan studied from the national sentinel data. Japanese Journal of Infectious Diseases, 64(6), 473–481
Kadi, N., & Khelfaoui, M. (2020). Population density, a factor in the spread of COVID-19 in Algeria: statistic study. Bulletin of the National Research Centre, 44(1), 138. doi: 10.1186/s42269-020-00393-x
Kang, D., Choi, H., Kim, J.-H., & Choi, J. (2020). Spatial epidemic dynamics of the COVID-19 outbreak in China. International Journal of Infectious Diseases, 94, 96–102. doi: 10.1016/j.ijid.2020.03.076
Kubota, Y., Shiono, T., Kusumoto, B., & Fujinuma, J. (2020). Multiple drivers of the COVID-19 spread: The roles of climate, international mobility, and region-specific conditions. PLOS ONE, 15(9), 1–15. doi: 10.1371/journal.pone.0239385
Lau, H., Khosrawipour, V., Kocbach, P., Mikolajczyk, A., Ichii, H., Zacharski, M., Bania, J., & Khosrawipour, T. (2020). The association between international and domestic air traffic and the coronavirus (COVID-19) outbreak. Journal of Microbiology, Immunology and Infection, 53(3), 467–472. doi: 10.1016/j.jmii.2020.03.026
Lawyer, G. (2016). Measuring the potential of individual airports for pandemic spread over the world airline network. BMC Infectious Diseases, 16(1), 70. doi: 10.1186/s12879-016-1350-4
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., Xing, X., Xiang, N., Wu, Y., Li, C., Chen, Q., Li, D., Liu, T., Zhao, J., Liu, M., … Feng, Z. (2020). Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. New England Journal of Medicine, 382(13), 1199–1207. doi: 10.1056/NEJMoa2001316
Lobo-Guerrero, L. (2012). Connectivity as the strategization of space – the case of the Port of Hamburg. Distinktion: Scandinavian Journal OfSocial Theory, 13(3), 310–321. doi: 10.1080/1600910X.2012.697860
Merler, S., & Ajelli, M. (2010). The role of population heterogeneity and human mobility in the spread of pandemic influenza. Proceedings. Biological Sciences, 277(1681), 557–565. doi: 10.1098/rspb.2009.1605
Pemerintah Provinsi Kalimantan Barat. (2020). Satu data Kalbar. http://data.kalbarprov.go.id
Ratcliffe, R. (2020). First coronavirus cases confirmed in Indonesia amid fears nation is ill-prepared for an outbreak. The Guardian. https://www.theguardian.com/world/2020/mar/02/first-coronavirus-cases-confirmed-in-indonesia-amid-fears-nation-is-ill-prepared-for-outbreak
Reuters. (2020). Indonesia confirms first cases of coronavirus". Bangkok Post. Retrieved from https://www.bangkokpost.com/world/1869789/indonesia-confirms-first-cases-of-coronavirus
Scott, N., Baggio, R., & Cooper, C. (2008). Network analysis and tourism: From theory to practice. Channel View Publications
Sokol, M. (2009). Regional connectivity. In R. Kitchin & N. Thrift (Eds.), International Encyclopedia of Human Geography. Elsevier
Staeheli, U. (2012). Listing the global: dis/connectivity beyond representation? Distinktion: Journal of Social Theory, 13(3), 233–246. doi: 10.1080/1600910X.2012.724646
Tuncer, N., & Le, T. (2014). Effect of air travel on the spread of an avian influenza pandemic to the United States. International Journal of Critical Infrastructure Protection, 7(1), 27–47. doi: 10.1016/j.ijcip.2014.02.001
Valleron, A.-J., Cori, A., Valtat, S., Meurisse, S., Carrat, F., & Boëlle, P.-Y. (2010). Transmissibility and geographic spread of the 1889 influenza pandemic. Proceedings of the National Academy of Sciences of the United States of America, 107(19), 8778–8781. doi: 10.1073/pnas.1000886107
Vega, A. (2012). Accessibility and the local concentration of economic activity: A case study for county Galway. Irish Geography, 45(1), 25–44. doi: 10.1080/00750778.2012.729917
Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020). A novel coronavirus outbreak of global health concern. The Lancet, 395(10223), 470–473. doi: 10.1016/S0140-6736(20)30185-9
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press
Xie, Z., Qin, Y., Li, Y., Shen, W., Zheng, Z., & Liu, S. (2020). Spatial and temporal differentiation of COVID-19 epidemic spread in mainland China and its influencing factors. Science of The Total Environment, 744, 140929. doi: 10.1016/j.scitotenv.2020.140929
Zhao, S., & Chen, H. (2020). Modeling the epidemic dynamics and control of COVID-19 outbreak in China. Quantitative Biology, 8(1), 11–19. doi: 10.1007/s40484-020-0199-0

Last update:

No citation recorded.

Last update:

No citation recorded.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

As an article writer, the author has the right to use their articles for various purposes, including use by institutions that employ authors or institutions that provide funding for research. Author rights are granted without special permission.

Author who publishes a paper at JWL has the broad right to use their work for teaching and scientific purposes without the need to ask permission, including: used for (i) teaching in the author's class or institution, (ii) presentation at meetings or conferences and distributing copies to participants ; (iii) training conducted by the author or author's institution; (iv) distribution to colleagues for research use; (v) use in the compilation of subsequent authors' works; (vi) inclusion in a thesis or dissertation; (vi) reuse of part of the article in another work (with citation); (vii) preparation of derivative works (with citation); (viii) voluntary posting on open websites operated by authors or author institutions for scientific purposes (follow the CC BY-NC-SA 4.0 License).

Authors and readers can copy and redistribute material in any media or format, and mix, modify, and build material for any purpose but they must provide appropriate credit (provide article citation or content), providing links to the license, and indicate if there are changes.

The authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Jurnal Wilayah dan Lingkungan (JWL). Copyright encompasses rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms and any other similar reproductions, as well as translations.

Reproduce any part of this journal, its storage in the database or its transmission by all forms or media is permitted does not need for written permission from JWL. However, it should be cited as an honor in academic manners

JWL and the Department of Urban and Regional Planning of Diponegoro University and the Editor make every effort to ensure that there are no data, opinions, or false or misleading statements published in JWL. However, the content of the article is the sole and exclusive responsibility of each author.

The Copyright Transfer Form can be downloaded here: [Copyright Transfer Form - Indonesian] [Copyright Transfer Form - English]. The copyright form should be signed originally and send to the Editor in the form of printed letters, scanned documents sent via email or fax.