Open AccessEpidemiological Patterns and Spatial Distribution of COVID-19 Cases in DKI Jakarta (March–December 2020)
Author(s) -
Rajesh Das,
Mondastri Korib Sudaryo
Publication year - 2021
Publication title -
kesmas
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.146
H-Index - 3
eISSN - 2460-0601
pISSN - 1907-7505
DOI - 10.21109/kesmas.v0i0.5074
Subject(s) - epidemiology , pandemic , geography , covid-19 , china , socioeconomics , declaration , environmental health , distribution (mathematics) , demography , medicine , disease , political science , pathology , infectious disease (medical specialty) , mathematical analysis , sociology , law , mathematics , archaeology
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.