Gambaran Spasial Faktor Risiko Mortalitas Covid-19 di Kabupaten Lumajang Tahun 2021

Authors

  • Gimida Nisahika Universitas Negeri Malang
  • Hartati Eko Wardani Universitas Negeri Malang
  • Tika Dwi Tama Universitas Negeri Malang
  • Anindya Hapsari Universitas Negeri Malang
  • Rara Warih Gayatri Universitas Negeri Malang

Keywords:

covid-19, mortality, spatial analysis, mortalitas, analisis spasial

Abstract

Abstract: Lumajang Regency during the Covid-19 pandemic was once the only red zone in East Java and was included in the 10 Regencies/Cities with the highest Covid-19 mortality. Magnitude of the mortality rate associated with the severity of a viral infection can be influenced by several factors such as demographic factors and the presence of co-morbidities. The purpose of this study was to determine the spatial picture between the risk factors for Covid-19 mortality consisting of comorbid hypertension, diabetes mellitus and coverage of the second dose of Covid-19 vaccination on Covid-19 mortality in Lumajang Regency on 2021. This descriptive observational study used a multi-group comparison ecological study design. Data sources for spatial analysis came from secondary data documentation by the Lumajang District Health Office and the Central Bureau of Statistics. Spatial data processing is carried out using the Quantum Geographic Information System (QGIS) application. The results showed that the highest Covid-19 mortality distribution map, followed by highrisk areas for hypertension and diabetes mellitus, was located in Sukodono District. Coverage of the second dose of Covid-19 vaccination in all sub-districts of Lumajang Regency is at a limited level. Ranuyoso District is the only district with a low mortality rate but limited vaccination coverage. The existence of this research is expected to be able to assist the government in determining priority areas for disease prevention programs.

Abstrak: Kabupaten Lumajang selama pandemi Covid-19 pernah menjadi satu-satunya zona merah di Jawa Timur dan termasuk 10 Kabupaten/Kota dengan mortalitas Covid-19 terbanyak. Besarnya angka mortalitas yang berhubungan dengan tingkat keparahan akibat infeksi virus dapat dipengaruhi oleh beberapa faktor seperti faktor demografi dan adanya penyakit penyerta. Tujuan penelitian ini dilakukan adalah untuk mengetahui gambaran spasial antara faktor risiko mortalitas Covid-19 yang terdiri dari komorbid hipertensi, diabetes melitus dan cakupan vaksinasi Covid-19 dosis kedua terhadap mortalitas Covid-19 di Kabupaten Lumajang pada tahun 2021. Penelitian observasional deskriptif ini menggunakan desain studi ekologi multi-group comparison. Sumber data untuk analisis spasial berasal dari dokumentasi data sekunder oleh Dinas Kesehatan dan Badan Pusat Statistik Kabupaten Lumajang. Pengolahan data secara spasial dilakukan dengan menggunakan bantuan aplikasi Quantum Geographic Information System (QGIS). Hasil penelitian menunjukkan peta sebaran mortalitas Covid-19 tertinggi yang diikuti dengan wilayah risiko tinggi hipertensi dan diabetes melitus terletak pada Kecamatan Sukodono. Cakupan vaksinasi Covid-19 dosis kedua di seluruh Kecamatan Kabupaten Lumajang termasuk pada tingkat terbatas. Kecamatan Ranuyoso menjadi satu-satunya Kecamatan dengan tingkat mortalitas rendah namun cakupan vaksinasinya terbatas. Adanya penelitian ini diharapkan mampu membantu pemerintah dalam menentukan wilayah prioritas program pencegahan Covid-19.

References

Albab, M. (2021). Hubungan Hipertensi Dengan Mortalitas Covid-19 Di Rsud Dr. Soehadi Prijonegoro Sragen. Universitas Islam Indonesia. https://dspace.uii.ac.id/handle/123456789/37959

Aldana, R. R., Verjan, J. C. G., Chavolla, O. Y. B., & Pena, C. G. (2021). Spatial epemiological study of the distribution, clustering, and risk factors associated with early COV-19 mortality in Mexico. PLoS ONE, 16(July), 1–16. https://doi.org/10.1371/journal.pone.0254884

Alkundi, A., & Momoh, R. (2020). COVID-19 infection and diabetes mellitus. Journal of Diabetes, Metabolic Disorders & Control, 7(4), 119–120. https://doi.org/10.15406/jdmdc.2020.07.00212

Andrianto, Rizkiawan, R., Harsoyo, P. M., & Yasmine, S. (2021). Covid-19 dan Disfungsi Endotel: Biomarka dan Mekanisme Obat Potensialnya. Cakrawala Unair News. https://news.unair.ac.id/2021/12/13/covid-19-dan-disfungsi-endotel-biomarka-dan-mekanisme-obat-potensialnya/

Asfar, A. (2021). Perilaku Masyarakat dalam Pencegahan Virus Covid-19. Window of Nursing Journal, 2(1), 251–256. https://doi.org/10.33096/won.v2i1.694

Bajgain, K. T., Badal, S., Bajgain, B. B., & Santana, M. J. (2021). Prevalence of comorbidities among individuals with COVID-19: A rapid review of current literature. In American Journal of Infection Control (Vol. 49, Issue 2, pp. 238–246). Am J Infect Control. https://doi.org/10.1016/j.ajic.2020.06.213

Biswas, M., Rahaman, S., Biswas, T. K., Haque, Z., & Ibrahim, B. (2021). Association of Sex, Age, and Comorbidities with Mortality in COVID-19 Patients: A Systematic Review and Meta-Analysis. Intervirology, 64(1), 36–47. https://doi.org/10.1159/000512592

Cummings, M. J., Baldwin, M. R., Abrams, D., Jacobson, S. D., Meyer, B. J., Balough, E. M., Aaron, J. G., Claassen, J., Rabbani, L. R. E., Hastie, J., Hochman, B. R., Salazar-Schicchi, J., Yip, N. H., Brodie, D., & O’Donnell, M. R. (2020). Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study. The Lancet, 395(10239), 1763–1770. https://doi.org/10.1016/S0140-6736(20)31189-2

Dinas Kesehatan Kabupaten Lumajang. (2021). Profil Kesehatan Kabupaten Lumajang. http://dx.doi.org/10.1038/s41598-019-52547-1%0Ahttps://doi.org/10.1016/j.envexpbot.2020.104309%0Ahttps://doi.org/10.1007/s10722-020-00946-z%0Ahttps://doi.org/10.1016/j.sajb.2020.04.020%0Ahttps://doi.org/10.1080/11263504.2020.1756975%0Ahttps://doi.org/10.1

Drake, T., Guzman, J., Glassman, A., & Baker, P. (2022). Time to Rethink the Goal of 70 Percent COVID Vaccine Coverage and Refocus on those at Greatest Risk | Center for Global Development | Ideas to Action. https://www.cgdev.org/blog/time-rethink-goal-70-percent-covid-vaccine-coverage-and-refocus-those-greatest-risk

Edriani, T. S., Rahmadani, A., & Noor, D. M. M. (2021). Analisis Hubungan Kepadatan Penduduk dengan Pola Penyebaran COVID-19 Provinsi DKI Jakarta menggunakan Regresi Robust. Indonesian Journal of Applied Mathematics, 1(2), 51. https://doi.org/10.35472/indojam.v1i2.353

Hadani, K. (2021). Pentingnya Vaksinasi Di Masa Pandemi. Strada Jurnal Ilmiah Kesehatan.

Hafidh, B. A. (2022). Hubungan komorbid hipertensi dan diabetes melitus dengan mortalitas pada pasien corona virus disease 19 (COVID-19) di Rumah Sakit Umum Daerah Genteng Banyuwangi tahun 2020. Universitas Wijaya Kusuma Surabaya.

Illah, M. N. N. (2021). Analisis Pengaruh Komorbid, Usia, dan Jenis Kelamin Terhadap Meningkatnya Angka Kematian pada Masa Pandemi Covid-19. Jurnal Sosial Sains, 1(10). https://doi.org/10.36418/sosains.v1i10.232

Kazeminia, M., Afshar, Z. M., Rajati, M., Saeedi, A., & Rajati, F. (2022). Evaluation of the Acceptance Rate of Covid-19 Vaccine and its Associated Factors: A Systematic Review and Meta-analysis. Journal of Prevention, 43(4), 421–467. https://doi.org/10.1007/s10935-022-00684-1

Keputusan Menteri Kesehatan Republik Indonesia. (2021). Profil Kesehatan Indonesia. In Pusdatin.Kemenkes.Go.Id.

Keputusan Menteri Kesehatan Republik Indonesia. (2022). Indikator Penyesuaian Upaya Kesehatan Masyarakat dan Pembatasan Sosial dalam Penanggulangan Pandemi Covid-19 Nomor HK.01.07/MMENKES/762/2022. In JDIH Kemkes (pp. 1–14).

Khairani, R. (2021). Strategi mix-and-match vaksin COVID-19, seberapa efektifkah? Jurnal Biomedika Dan Kesehatan, 4(3), 87–89.

Kumar, A., Arora, A., Sharma, P., Anikhindi, S. A., Bansal, N., Singla, V., Khare, S., & Srivastava, A. (2020). Is diabetes mellitus associated with mortality and severity of COVID-19? A meta-analysis. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 14(4), 535–545. https://doi.org/10.1016/J.DSX.2020.04.044

Kun’ain, U. I. A., Rahardjo, S. S., & Tamtomo, D. G. (2020). Meta-analysis: the effect of diabetes mellitus comorbidity on the risk of death in COVID-19 patients. Indonesian Journal of Medicine, 368–377. https://doi.org/10.26911/THEIJMED.2020.05.04.12

Masdalena, Muryanto, I., Efendi, A. S., Yunita, J., & Gustina, T. (2021). Comorbid Risk Factors for Covid-19 Deaths at X Pekabaru Hospital in 2021. Jurnal Kesehatan Masyarakat Mulawarman, 3(2), 105–117. https://pusdatin.kemkes.go.id/resources/download/pusdatin/buletin/buletin-Situasi-Covid-19_opt.pdf

Muhajiroh, L., Wardani, H. E., Alma, L. R., & Gayatri, R. W. (2022). Analisis Faktor yang Berhubungan Dengan Self Efficacy Remaja Usia 12-17 Tahun di Kecamatan Sukolilo dalam Melakukan Vaksinasi Covid-19. Sport Science and Health, 4(9), 842–859. https://doi.org/10.17977/um062v4i92022p842-859

Muhamad, S. A., Ugusman, A., Kumar, J., Skiba, D., Hamid, A. A., & Aminuddin, A. (2021). COVID-19 and Hypertension: The What, the Why, and the How. Frontiers in Physiology, 12(May), 1–11. https://doi.org/10.3389/fphys.2021.665064

Muhardi, R. (2018). Analisis Spasial dengan Open Source GIS. In Mobius Yogyakarta. https://doi.org/10.1109/TVCG.2015.2468078.Erwin

Nartha, K. P. P. P. (2022). Penyakit Komorbid Sebagai Faktor Risiko Mortalitas Pasien Covid-19. Unram Medical Journal, 11(3), 1079–1084. https://doi.org/10.29303/jku.v11i3.747

Olivionita, V., Wardani, H. E., Alma, L. R., & Gayartri, R. W. (2022). Analisis spasial faktor-faktor yang mempengaruhi kejadian tuberkulosis di Malang Raya tahun 2020-2021. Repository.Um.Ac.Id.

Pourghasemi, H. R., Pouyan, S., Farajzadeh, Z., Sadhasivam, N., Heidari, B., Babaei, S., & Tiefenbacher, J. P. (2020). Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models. PLoS ONE, 15(7). https://doi.org/10.1371/JOURNAL.PONE.0236238

Rahayu, L. A. D., Admiyanti, J. C., Khalda, Y. I., Ahda, F. R., Agistany, N. F. F., Setiawati, S., Shofiyanti, N. I., & Warnaini, C. (2021). Hipertensi, Diabetes Mellitus, Dan Obesitas Sebagai Faktor Komorbiditas Utama Terhadap Mortalitas Pasien Covid-19: Sebuah Studi Literatur. JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia, 9(1), 90–97. https://doi.org/10.53366/jimki.v9i1.342

Roeroe, P. A. L., Sedli, B. P., & Umboh, O. (2021). Faktor Risiko Terjadinya Coronavirus Disease 2019 (Covid-19) pada Penyandang Diabetes Melitus Tipe 2. E-CliniC, 9(1). https://doi.org/10.35790/ecl.v9i1.32301

Rokom. (2021). Studi Terbaru Vaksin Covid-19 Mencegah Perawatan dan Kematian. KemKes . Go.Id. Sehatnegeriku, 19.

Sahara, A. A., & Kamso, S. (2022). Analisis Spasial Pandemi COVID-19 di Jawa Timur (Januari – Juli Tahun 2021). Jurnal Kedokteran Dan Kesehatan, 18(2), 164–176. https://jurnal.umj.ac.id/index.php/JKK/article/view/11063

Satgas COVID19. (2021). Situasi COVID-19 | Covid19.go.id. Covid19. https://covid19.go.id/situasi

Savoia, C., Volpe, M., & Kreutz, R. (2021). Hypertension, a moving target in COVID-19: Current views and perspectives. Circulation Research, 128(7), 1062–1079. https://doi.org/10.1161/CIRCRESAHA.121.318054

Setiawan, G. S. (2022). Covid-19 : Efektivitas dan Keamanan Vaksin. Jurnal Medika Hutama, 03(02), 2102.

Styawan, D. A. (2021). Pandemi Covid-19 dalam Perspektif Demografi. Seminar Nasional Official Statistics, 2020(1), 182–189. https://doi.org/10.34123/semnasoffstat.v2020i1.716

Sumiati, Aini, N., & Tama, T. D. (2022). Sex and age differences in the COVID-19 mortality in East Jakarta, Indonesia: Analysis of COVID-19 surveillance system. Journal of Public Health in Africa, 13(s2), 97–99. https://doi.org/10.4081/jphia.2022.2420

Suryaningrum, F. N., Nurjazuli, N., & Rahardjo, M. (2021). Hubungan Pengetahuan Dan Persepsi Masyarakat Dengan Upaya Pencegahan Covid-19 Di Kelurahan Srondol Wetan, Semarang. Jurnal Kesehatan Masyarakat (Undip), 9(2), 257–263. https://doi.org/10.14710/jkm.v9i2.28879

Trisanto, D., Djannatun, T., & Arifandi, F. (2022). Korelasi antara Riwayat Hipertensi dan Diabetes Melitus dengan Mortalitas Pasien Covid-19 di Rumah Sakit Ummi Bogor dan Tinjauannya Menurut Pandangan Islam. Junior Medical Journal, 1(2), 174–180. https://academicjournal.yarsi.ac.id/index.php/jmj/article/view/2882

Wahyuni, D. N., Wesnawa, I. G. A., & Christiawan, P. I. (2021). Analisis Spasial Tingkat Risiko Bencana Covid-19 Di Provinsi Bali. Jurnal Pendidikan Geografi Undiksha, 9(3), 175–192. http://dx.doi.org/10.23887/jjpg.v9i3.36496

Widayanti, L. P., & Kusumawati, E. (2021). Hubungan Persepsi Tentang Efektifitas Vaksin Dengan Sikap Kesediaan Mengikuti Vaksinasi Covid-19. Hearty, 9(2), 78. https://doi.org/10.32832/hearty.v9i2.5400

Willim, H. A., Ketaren, I., & Supit, A. I. (2020). Dampak Coronavirus Disease 2019 terhadap Sistem Kardiovaskular. E-CliniC, 8(2). https://doi.org/10.35790/ecl.v8i2.30540

Wollschlager, D., Gianicolo, E., Blettner, M., Hamann, · Ruben, Herm-Stapelberg, N., & Schoeps, M. (2021). Association of COVID-19 mortality with COVID-19 vaccination rates in Rhineland-Palatinate (Germany) from calendar week 1 to 20 in the year 2021: a registry-based analysis. European Journal of Epidemiology, 36, 1231–1236. https://doi.org/10.1007/s10654-021-00825-6

World Health Organization. (2021). Memperkuat Kesiapsiagaan menghadapi Omicron Negara-Negara Anggota. 2021(November), 1–9.

World Health Organization. (2022). WHO Coronavirus Disease (COVID-19) Dashboard With Vaccination Data | WHO Coronavirus (COVID-19) Dashboard With Vaccination Data. In World Health Organization (pp. 1–5). https://covid19.who.int/

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30-10-2023

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Vol. 5 No. 10 (2023)

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