https://doi.org/10.4081/gh.2022.1034

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

Vol. 17 No. s1 (2022): Special issue on COVID-19
Published: 18 March 2022
COVID-19, risk mapping, geospatial, South Sulawesi, Indonesia.
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Authors

Andang Suryana Soma
Faculty of Forestry, Hasanuddin University, Makassar, Indonesia.
Andi Alfian Zainuddin
a.alfian@med.unhas.ac.id
https://orcid.org/0000-0003-4436-3906
Faculty of Medicine, Hasanuddin University, Makassar, Indonesia.
Shanti Riskiyani
Faculty of Public Health, Hasanuddin University, Makassar, Indonesia.
Nurhaya Nurdin
https://orcid.org/0000-0002-3585-9742
Faculty of Nursing, Hasanuddin University, Makassar, Indonesia.
Muhammad Firdaus Kasim
Faculty of Medicine, Hasanuddin University, Makassar, Indonesia.
Joko Hendarto
Faculty of Medicine, Hasanuddin University, Makassar, Indonesia.
Masriadi
https://orcid.org/0000-0003-3853-0384
Faculty of Medicine, Hasanuddin University, Makassar, Indonesia.

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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Risk mapping and estimation of COVID-19 transmission in South Sulawesi, Indonesia by a self-identification survey. (2022). Geospatial Health, 17(s1). https://doi.org/10.4081/gh.2022.1034
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