The Temporal and Spatial Analysis of Corona Pandemic in Jordan using the Geographic Information System: An Applied Geographical Study

https://doi.org/10.22146/ijg.73663

Ayed Taran(1*), AbedAlhameed Alfanatseh(2), Shatha Rawashdeh(3), Faisal Almayouf(4)

(1) Al al-Bayt University, Department of Applied Geography, Jordan, Almafraq
(2) Al-hussein Bin Talal University, Department of Geography, Jordan, Ma'an
(3) Al-hussein Bin Talal University, Department of Geography, Jordan, Ma'an
(4) Al al-Bayt University, Department of Applied Geography, Jordan, Almafraq
(*) Corresponding Author

Abstract


The coronavirus disease which results from severe acute respiratory syndrome (SARS-COV-2), is considered a global challenge affecting millions of people and leading to a global increase in mortality, including in Jordan. Therefore, this study aims to analyze the temporal and spatial patterns of the prevalence and outbreak of coronavirus in Jordan during six periods, from 1, October 2020 until 31, March 2021 by applying geographical information systems. The Moran coefficient was applied in addition to the G* test and location quotient (LQ). The results showed the overall pattern for the distribution of cases affected by the virus was random since most governorates' experience increased the focus and prevalence of the pandemic. Furthermore, four hot spots were revealed, namely Amman, Irbid, Zarqa, and Balqa'. This study introduced new insights into the statistical analysis of the distribution and prevalence of coronavirus in Jordan using geographical information systems. This will help planners and decision-makers to predict the dynamics of the temporal and spatial transfer of the virus in the future. It will also explain the current situation to set the appropriate policies or measures to face the pandemic, as well as reduce its prevalence. Therefore, monitoring, evaluating, and planning the usage of geospatial analysis are essential for controlling the spread of COVID-19 in the country.


Keywords


Spatial Analysis; Temporal Analysis; Corona; Pandemic; Geographical Information Systems; Hotspot Analysis

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DOI: https://doi.org/10.22146/ijg.73663

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