Descriptive epidemiology of COVID-19 in Palembang, Indonesia

Authors

  • Najmah Department of Epidemiology, Faculty of Public Health Faculty, Sriwijaya University
  • Yudhi Setiawan COVID-19 Task Force, City Health Office, Kota Palembang
  • Yeni Department of Biostatistics and Health Information System, Faculty of Public Health Faculty, Sriwijaya University
  • Marisa Nurhaliza Department of Biostatistics and Health Information System, Faculty of Public Health Faculty, Sriwijaya University
  • Hafiza Azzahra Department of Biostatistics and Health Information System, Faculty of Public Health Faculty, Sriwijaya University
  • Yulia Yunara Department of Biostatistics and Health Information System, Faculty of Public Health Faculty, Sriwijaya University
  • Amrina Rosyada Department of Biostatistics and Health Information System, Faculty of Public Health Faculty, Sriwijaya University
  • Fauzia City Health Office, Kota Palembang
  • Fenty Aprina City Health Office, Kota Palembang
  • Misnaniarti Department of Health and Administrative Policy, Faculty of Public Health, Sriwijaya University

DOI:

https://doi.org/10.53638/phpma.2022.v10.i1.p07

Keywords:

COVID-19, descriptive epidemiology, elderly, comorbidity, Indonesia

Abstract

Background and purpose: Indonesia ranks the first highest mortality rate of COVID-19 in Southeast Asia with an average case fatality rate (CFR) of 2.7%. South Sumatra is ranked 14th out of 34 provinces in Indonesia, with a CFR value related to COVID-19 reaching 5.1%, per June 21, 2021. This study aims to determine the descriptive epidemiology of COVID-19 in Palembang City.

Methods: This research used a descriptive epidemiology approach and spatial analysis with the geographic information system. Then the secondary data were collected from the Palembang City Surveillance Report from March 2020 to February 2021 with a total of 7,423 cases, as well as geographic data on the coordinates of health services for all hospitals and public health centers (PHCs) in Palembang City.

Results: The data shows that the age group of 25 to 39 years old dominated the COVID-19 cases. The morbidity and mortality rates in men was higher than women, and much higher at the age of above 60 years old. The most dominant symptom in the deceased COVID-19 patients was shortness of breath and the comorbid history increased the risk of death for patients with COVID-19. The highest number of confirmed cases of COVID-19 was found in the sub-district with the highest population, including the PHC of Padang Selasa, Ilir Barat I (393 patients), while the lowest number of cases was reported in Karyajaya PHC, Kertapati (7 patients).

Conclusion:This study highlights the need in preventing mature deaths of COVID-19 patients by prioritizing elderlies who suffered from comorbidities at the family level and health services to support the government programs.

References

Bedford J, Enria D, Giesecke J, Heymann DL, Ihekweazu C, Kobinger G, et al. COVID-19: Towards controlling of a pandemic. The Lancet. 2020; 395(10229): 1015-1018.

WHO. WHO Director-General’s opening remarks at the media briefing on COVID-19 - 11 March 2020 [Internet]. World Health Organizatio. 2020 [cited 2021 Jul 19]. Available from: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-COVID-19---11-march-2020

Worldometer. COVID-19 Coronavirus Pandemic: worldmeter [Internet]. Worldometer. 2021 [cited 2021 Jul 19]. Available from: https://www.worldometers.info/coronavirus/

National Agency for Disaster Management. Perkembangan kasus konfirmasi per hari 2021 - Peta Sebaran [Progress of confirmed cases per day 2021 - Distribution map] [Internet]. 2021 [cited 2021 Jul 19]. Available from: https://covid19.go.id/peta-sebaran

Health Office of South Sumatera Province. Situasi terkini perkembangan COVID-19 di Sumatera Selatan [The latest situation on the development of COVID-19 in South Sumatera] [Internet]. Health Office of South Sumatera Province. 2021 [cited 2021 Jul 19]. Available from: http://corona.sumselprov.go.id/index.php?module=dataterkinidetail&id=507

Huang X, Wei F, Hu L, Wen L, Chen K. Epidemiology and clinical characteristics of COVID-19. Archives of Iranian Medicine. 2020; 23(4): 268–271.

Team E. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China - 2020. China CDC Weekly. 2020; 2(8): 113-122.

Khamis F, Al Rashidi B, Al-Zakwani I, Al Wahaibi AH, Al Awaidy ST. Epidemiology of COVID-19 infection in Oman: Analysis of the first 1304 cases. Oman Medical Journal. 2020; 35(3): 1–4.

Sirijatuphat R, Suputtamongkol Y, Angkasekwinai N, Horthongkham N, Chayakulkeeree M, Rattanaumpawan P, et al. Epidemiology, clinical characteristics, and treatment outcomes of patients with COVID-19 at Thailand’s university-based referral hospital. BMC Infectious Diseases. 2021; 21(1): 1-10.

Hikmawati I, Setiyabudi R. Epidemiology of COVID-19 in Indonesia: Common source and propagated source as a cause for outbreaks. The Journal of Infection in Developing Countries. 2021; 15(5): 646–652.

Qiu W, He H, Zhang P, Yang W, Shi T, Wang X, et al. Effect of public health interventions on COVID-19 cases: an observational study. Thorax. 2021; 76(8): 798-806.

Yeni Y, Najmah N, Davies SG. Predicitive modeling, empowering women, and COVID-19 in South Sumatra, Indonesia. ASEAN Journal of Community Engagement. 2020; 4(1): 6.

Campbell J, Shin ME. Essentials of geographic information systems. In Lynchburg: Liberty University [Internet]. 2011; p. 259. Available from: https://digitalcommons.liberty.edu/textbooks/2

Health Office of Palembang City. Profil kesehatan tahun 2019 [Health profile of 2019]. Palembang: Health Office; 2019.

Najmah. Epidemiologi untuk mahasiswa kesehatan masyarakat. 2nd ed. Jakarta: PT. Raja Grafindo Persada; 2017.

Bamweyana I, Okello DA, Ssengendo R, Mazimwe A, Ojirot P, Mubiru F, et al. Socio-economic vulnerability to COVID-19: The spatial case of Greater Kampala Metropolitan Area (GKMA). Journal of Geographic Information System. 2020; 12(04): 302–318.

Calderón-Larrañaga A, Dekhtyar S, Vetrano DL, Bellander T, Fratiglioni L. COVID-19: Risk accumulation among biologically and socially vulnerable older populations. Ageing Research Reviews. 2020; 63: 101149.

Muhyiddin M, Nugroho H. A Year of COVID-19: A long road to recovery and acceleration of Indonesia's development. Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning. 2021; 5(1): 1-19.

Chinazzi M, Davis JT, Ajelli M, Gioannini C, Litvinova M, Merler S, et al. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science. 2020; 368(6489): 395-400.

Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020; 395(10223): 507–513.

National Agency for Disaster Management. Perkembangan kasus konfirmasi per hari 2021 - Peta sebaran [Progress of confirmed cases per day 2021 - Distribution map] [Internet]. 2021 [cited 2021 Jun 21]. Available from: https://covid19.go.id/peta-sebaran.

Nurhaliza M, Rosyada A. Analisis spasial kerentanan sosial terhadap kasus COVID-19 di Kota Palembang tahun 2021 [Spacial analysis of social vulnerability to COVID-19 cases in Palembang City in 2021][Undergraduate thesis]. Sriwijaya University; 2022.

Alshogran OY, Altawalbeh SM, Al-Azzam SI, Karasneh R. Predictors of COVID-19 case fatality rate: An ecological study. Annals of Medicine and Surgery. 2021; 65(April): 102319.

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Published

2022-07-01

How to Cite

Najmah, Setiawan, Y. ., Yeni, Nurhaliza, M. ., Azzahra, H. ., Yunara, Y. ., Rosyada, A. ., Fauzia, Fenty Aprina, & Misnaniarti. (2022). Descriptive epidemiology of COVID-19 in Palembang, Indonesia. Public Health and Preventive Medicine Archive, 10(1). https://doi.org/10.53638/phpma.2022.v10.i1.p07

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