Geospatial Health (Mar 2022)

Risk mapping and estimation of COVID-19 transmission in South Sulawesi, Indonesia by a self-identification survey

  • Andang Suryana Soma,
  • Andi Alfian Zainuddin,
  • Shanti Riskiyani,
  • Nurhaya Nurdin,
  • Muhammad Firdaus Kasim,
  • Joko Hendarto,
  • Masriadi

DOI
https://doi.org/10.4081/gh.2022.1034
Journal volume & issue
Vol. 17, no. s1

Abstract

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The rapid transmission rate of coronavirus disease 2019 (COVID-19) is multi-factorial but primarily due to population mobility and aggregation. This research aimed at estimating the rate based on risk mapping and investigation of geospatial distribution. It was divided into different phases that included data collection through a self-identification form available online; data validation of the data collected; application of spatial statistics; comparison with official numbers of positive COVID-19; and mapping of the results. The results show that self-identification based on procurement of independent personal data online had an accuracy of 89%.

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