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

作者信息

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

机构信息

Faculty of Forestry, Hasanuddin University, Makassar.

Faculty of Medicine, Hasanuddin University, Makassar.

出版信息

Geospat Health. 2022 Mar 18;17(s1). doi: 10.4081/gh.2022.1034.

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%.

摘要

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