The Trend Distribution and Temporal Pattern Analysis of COVID-19 Pandemic using GIS framework in Malaysia
DOI:
https://doi.org/10.21467/preprints.174Abstract
Currently, the most severe infectious disease was the new coronavirus disease (COVID-19) in all countries in 2019 and 2020. At the end of December 2019, in Wuhan, China, there was an international cluster of cases involving Novel Coronavirus pneumonia (SARS-COV-2). The worldwide number of active cases and deaths is rising, especially in the top countries such as the United States (U.S), Brazil, and India. In Malaysia, these cases of COVID-19 have significantly decreased the number of active infections and deaths in May and June 2020. COVID-19 has had a significant effect on human life, socio-economic growth, and public relation. It is aimed at senior groups and individuals with various health conditions such as cancer, respiratory problems, diabetes, hypertension, and heart-related issues. The World Health Organization (WHO) has formally declared COVID-19 as an international emergency case. As a result, Kuala Lumpur was the most affected state in Malaysia as of 12 July 2020, followed by Selangor, Negeri Sembilan, and Johor. Regardless of the infection chain ratio, the favorable cases in each affected state of Malaysia are rising every day. The Malaysian Government attempted to split the infection chain ratio affected by COVID-19 via the lockdown definition. The research aims to use GIS software to analyze COVID-19's spatial trend distribution and temporal pattern analysis for human health. Geographic information systems (GIS) technologies have played a significant role in spatial information, spatial tracking of confirmed cases, active case, death, and discharge cases, and predicting the magnitude of the spread. Monitoring, evaluating, and planning using geospatial analysis are essential for controlling the spread of COVID-19 within the country.
Keywords:
COVID-19, PATTERN ANALYSIS, GIS, LOCKDOWN, WHODownloads
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