Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) is the causative agent of COVID-19 that began in Wuhan, Hubei Province, China. In Indonesia, the first two cases were reported on March 2, 2020; the first major response to block transmission of the virus was the declaration of large-scale social restrictions (LSSR) or Pembatasan Sosial Berskala Besar (PSBB). This study aimed to identify the epidemiology patterns and spatial distribution of the COVID-19 pandemic in five municipalities of DKI Jakarta. The research design comprised an ecological and case-series study uncovering the epidemiological trends and distribution of COVID-19 in DKI Jakarta based on secondary surveillance data. The results from the data analyzed between March-December 2020 showed an increasing epidemiological trend due to COVID-19, and Central Jakarta was the municipality most affected due to pandemic during this period. The implementation of the first PSBB in DKI Jakarta reduced the average number of daily cases during the first month, although the decrease was not statistically significant. There was a spatial autocorrelation of COVID-19 with the neighboring urban villages. There were fifteen COVID-19 hotspots all over DKI Jakarta based on the data analyzed in December 2020.

References

1.Kang D, Choi H, Kim JH, Choi J. Spatial epidemic dynamics of the COVID-19 outbreak in China. Int J Infect Dis. 2020;94:96–102.2.Acter T, et al. Evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as coronavirus disease 2019 (COVID-19)pandemic: a global health emergency. Sci Total Environ.2020;730:138996.3.Center for Strategic & International Studies. Southeast AsiaCOVID-19 tracker; 2021.4.Djalante R, et al. Review and analysis of current responses toCOVID-19 in Indonesia: period of January to March 2020. ProgDisaster Sci. 2020;6:100091.5.Ministry of Health, Indonesia. COVID Indonesia HealthMinistry.docx.pdf; 2020.6.Aldila D, Khoshnaw SHA, Safitri E, Rais YA. Mathematical study on the spread of COVID-19 considering social distancing and rapid assessment: the case of Jakarta, Indonesia. Nonlinear Sci Nonequilibrium Complex Phenom; 2020.7.Surendra H, et al. Clinical characteristics and mortality associated with COVID-19 in Jakarta, Indonesia: a hospital-based retrospective cohort study. National Library of Medicine. 2019;53: 1689–1699.8.Department of Population and Civil Registration. Data jumlah penduduk Provinsi DKI Jakarta berdasarkan kelompok usia dan jenis kelamin; 2020.9.Tian S, et al. Characteristics of COVID-19 infection in Beijing. J. Infect. 2020;80: 401–406.10.Rozaliyani A, et al. Factors associated with death in COVID-19 patients in Jakarta, Indonesia: an epidemiological study. Acta Med Indones. 2020;52:246–254. 11.Sagala S, et al. COVID-19 in Indonesia: an analysis of DKI Jakarta’sCOVID-19 pandemic response and its governance during the newnormal period. Atlantis Press. 2021;514: 185–191. 12.Shim E, Tariq A, Chowell G. Spatial variability in reproductionnumber and doubling time across two waves of the COVID-19pandemic in South Korea, February to July, 2020. Int J Infect Dis.2021;102:1–9. 13.Cori A, Ferguson NM, Fraser C, Cauchemez S. A new framework andsoftware to estimate time-varying reproduction numbers duringepidemics. Am J Epidemiol. 2013;178:1505–1512. 14.Olivia S, Gibson J, Nasrudin R. Indonesia in the time of COVID-19.Bull Indones Econ Stud. 2020;56:143–174. 15.Putri, RF, Wibirama S, Sukamdi, Giyarsih SR. Population conditionanalysis of Jakarta land deformation area. IOP Conf Ser Earth EnvironSci. 2018;148. 16.Medeiros de Figueiredo A, Daponte Codina A, Moreira MarculinoFigueirredo D, Saez M, Cabrera Leon A. Impact of lockdown onCOVID-19 incidence and mortality in China: an interrupted timeseries study. Bull World Heal Organ. 2020:1–18. 17.Oraby T, et al. Modeling the effect of lockdown timing as a COVID-19control measure in countries with differing social contacts. Sci Rep.2020;11:1–13. 18.Chen Z, Zhang L. Meet the challenges of mass vaccination againstCOVID-19. Explor Res Hypothesis Med. 2021;000:1–3. 19.Eryando T, Sipahutar T, Rahardiantoro S. The risk distribution ofCOVID-19 in Indonesia: a spatial analysis. Asia-Pacific J. Public Heal.2020;32:450–452. 20.Haroon S, Chandan JS, Middleton J, Cheng KK. COVID-19: breakingthe chain of household transmission. BMJ. 2020;370:1–2. 21.Shen M, et al. Assessing the effects of metropolitan-wide quarantineon the spread of COVID-19 in public space and households. Int JInfect Dis. 2020;96:503–505.

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