# Risk mapping and estimation of COVID-19 transmission in South Sulawesi, Indonesia by a self-identification survey
> Soma A.

URL kanonis: https://discover.unhas.ac.id/publications/risk-mapping-and-estimation-of-covid-19-transmission-in-south-sulawesi-indonesia
Jurnal / Konferensi: Geospatial Health
Tahun terbit: 2022
DOI: https://doi.org/10.4081/gh.2022.1034
ISSN: 18271987
Kuartil SJR: Q2
Citations: 0

## Authors
- Soma A.

## Abstract
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%.

## Keywords
- Geospatial analysis
- Coronavirus disease 2019 (COVID-19)
- Identification (biology)
- Geography
- Data collection
- Transmission (telecommunications)
- Statistics
- Population
- Cartography
- Computer science
- Mathematics
- Medicine
- Environmental health
- Biology
- Disease
- Telecommunications
- Infectious disease (medical specialty)
- Botany
- Pathology

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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