Pola Penyebaran COVID-19 di DKI Jakarta Pada Bulan Maret-Juli 2020 Secara Spasial

Ina Rahayu Ginting, Martya Rahmaniati Makful, Manendra Muhtar

Abstract


Berbagai negara di dunia termasuk Indonesia tengah menghadapi pandemi Coronavirus Disease (COVID-19) yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2).Penyebaran COVID-19 di Indonesia salah satunya di Provinsi DKI Jakarta terjadi dengan pesat. DKI Jakarta merupakan wilayah padat penduduk, sehingga risiko penyebaran COVID-19 juga tinggi. Penelitian ini bertujuan untuk melihat penyebaran kasus COVID-19 di DKI Jakarta pada bulan Maret-Juli 2020 terjadi secara acak atau kejadian di suatu wilayah dipengaruhi oleh kasus wilayah-wilayah tetangganya dengan menggunakan analisis spasial Global Moran’s Index dan LISA (Local Indicators of Spatial Autocorrelation). Hasil analisis spasial pola distribusi COVID-19 di DKI Jakarta pada bulan Maret-Juli 2020 menunjukkan daerah dengan konsentrasi kasus yang tinggi, terutama di bagian Jakarta Utara serta titik lainnya tersebar di Jakarat Barat dan Jakarta Pusat. Daerah/ kelurahan yang memiliki kuadran high-high terdapat pada kelurahan-kelurahan di Jakarta Utara, Jakarta Pusat, dan Jakarta Barat, daerah/ kelurahan dengan kuadran low-low, banyak berada di  Jakarta Selatan dan Jakarta Timur. Pola spasial COVID-19 di DKI Jakarta dapat menjadi pertimbangan untuk penyusunan kebijakan pencegahan dan pengendalian COVID-19.

 

Various countries in the world including Indonesia are currently still facing the Coronavirus Disease (COVID-19) pandemic caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). The spread of COVID-19 in Indonesia is very fast, including in DKI Jakarta. DKI Jakarta is a densely populated area, therefore the risk of COVID-19 spread is very high. This study aims to see that the spread of COVID-19 cases in DKI Jakarta in March-July 2020 occurred randomly or events in an area were influenced by cases in neighboring areas using the Global Moran's Index and LISA (Local Indicators of Spatial Autocorrelation) spatial analysis.The results of the spatial analysis showed that the areas with the high-high concentration of cases are mostly located in North Jakarta, with West Jakarta and Central Jakarta also having several areas with high cases. Areas with high-high quadrants are found in North Jakarta, Central Jakarta, and West Jakarta, areas with low-low quadrants are mostly in South Jakarta and East Jakarta.The spatial pattern of COVID-19 in DKI Jakarta can be a consideration for the formulation of policies for the prevention and control of COVID-19.


Keywords


COVID-19, Spatial,Autocorrelation LISA, Moran’s

Full Text:

PDF

References


Li H, Liu S, Yu X, Tang S, Tang C. Coronavirus Disease 2019 (COVID-19): Current Status and Future Perspectives. Int J Antimicrob Agents. 2020;55(January):1–9.

Dong M, Zhang J, Ma X, Tan J, Chen L. ACE2, TMPRSS2 Distribution and Extrapulmonary Organ Injury in Patients with COVID-19. Biomed Pharmacoteraphy. 2020;131(January):1–14.

Doremalen N van, Bushmaker T, Morris DH, Holbrook MG, Gamble A, Williamson BN, et al. Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1. N Engl J Med. 2019;1–3.

WHO. Coronavirus [Internet]. [cited 2021 Jun 30]. Available from: https://www.who.int/health-topics/coronavirus#tab=tab_1

Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical Features of Patients Infected with 2019 Novel Coronavirus in Wuhan, China. Lancet. 2020;395:497–506.

covid19.go.id. Peta Sebaran COVID-19 [Internet]. 2021 [cited 2021 Jan 6]. Available from: https://covid19.go.id/peta-sebaran-covid19

Saputra H, Salma N. Dampak PSBB dan PSBB Transisi di DKI Jakarta dalam Pengendalian COVID- 19. Media Kesehat Masy Indones. 2020;16(3):282–92.

Grekousis G. Spatial Analysis Methods and Practice. United Kingdom: Cambridge University Press; 2020.

WHO. Transmisi SARS-CoV-2: Implikasi Terhadap Kewaspadaan Pencegahan Infeksi [Internet]. 2020. Available from: https://www.who.int/docs/default-source/searo/indonesia/covid19/transmisi-sars-cov-2---implikasi-untuk-terhadap-kewaspadaan-pencegahan-infeksi---pernyataan-keilmuan.pdf?sfvrsn=1534d7df_4

Yunus NR, Rezki A. Kebijakan Pemberlakuan Lockdown Sebagai Antisipasi Penyebaran Corona Virus Covid-19. SALAM J Sos dan Budaya Syar-i. 2020;7(3):227–38.

Pangaribuan MT, Kajian M, Nasional K, Indonesia U, Munandar AI, Kajian M, et al. Kebijakan Pemerintah DKI Jakarta Menangani Pandemi Covid-19. Gov J Ilmu Pemerintah. 2021;14(1):1–9.

Prabowo CH. Ibukota DKI Jakarta dalam Menghadapi Pandemi Covid-19. J Syntax Admiration. 2021;2(1):38–48.

Purwodihardjo OM, Suryani AO. Aplikasi Health Belief Model dalam Penanganan Pandemi COVID-19 di Provinsi DKI Jakarta. J Perkota. 2020;12(1):21–38.

Dahlia S, Alwin. Analisis Pola Distribusi Spasial Virus Korona Menggunakan Sistem Informasi Geografis di DKI Jakarta. 2020.

Ren H, Zhao L, Zhang A, Song L, Liao Y, Lu W, et al. Early Forecasting of The Potential Risk Zones of COVID-19 in China’s Megacities. Sci Total Environ. 2020;729:1–9.

Ghiffari RA. Dampak Populasi dan Mobilitas Perkotaan Terhadap Penyebaran Pandemi Covid-19 di Jakarta. J Tunas Geogr. 2020;09(01):81–8.

Oppenheim B, Gallivan M, Madhav NK, Brown N, Serhiyenko V, Wolfe ND, et al. Assessing Global Preparedness for The Next Pandemic : Development and Application of an Epidemic Preparedness Index. BMJ lob Heal. 2019;1–9.




DOI: https://doi.org/10.24853/jkk.17.2.161-169

Refbacks

  • There are currently no refbacks.


Creative Commons License
Jurnal Kedokteran dan Kesehatan is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
View My Stats website statistics
Powered by Puskom-UMJ