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Yazar
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Wasan Shihab Ahmed
& Israa Talib Jasim
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Türü |
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Baskı Yılı |
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2021
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Sayı |
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66
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Sayfa |
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258-272
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DOI Number: |
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| Cite : |
Wasan Shihab Ahmed & Israa Talib Jasim, (2021). GEOGRAPHICAL DISTRIBUTION OF THE PATTERN AND DIRECTION OF THE SPREAD OF COVID-19 IN IRAQ USING GIS. Route Education and Social Science Journal , 66, p. 258-272. Doi: 10.17121/ressjournal.3054.
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754 489
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Özet
The coronavirus pandemic disease 2019 (COVID-19) caused by the
outbreak of SARS-CoV-2 The worst respiratory diseases and since
the outbreak of this epidemic globally at the end of 2019 and
currently paralyzing the entire global fabric of human social,
economic and political life, and despite concerted efforts around the
world to reduce and prevent it, there is still a lack of understanding
of its origin, transmission and methods of treatment. Understanding
the impact of COVID-19 factors helps mitigate its spread, but there
is little research on the geographic distribution and spatial analysis
of this pandemic.
Understanding this spatial pattern or distribution is therefore critical
to identifying those most at risk and for allocating resources and
appropriate responses to hotspots. Spatial analysis is required to
identify groups of areas most affected and to understand the
associations with vulnerability factors, such as low-income areas. It
is possible to assess disease risks, trends in outbreaks across time
and space, and points of infection. In addition, these methods may
relate to the design, planning and distribution of international health
resources for treatment, control, and prevention facilities.
Therefore, this study aimed to investigate the dynamics of the trend
by studying the distribution of the spread of the Corona virus based
on modern methods represented by geographic information systems
by knowing the distribution of the spread of the virus, the
neighborhood link and the direction of distribution.
Anahtar Kelimeler
Abstract
The coronavirus pandemic disease 2019 (COVID-19) caused by the
outbreak of SARS-CoV-2 The worst respiratory diseases and since
the outbreak of this epidemic globally at the end of 2019 and
currently paralyzing the entire global fabric of human social,
economic and political life, and despite concerted efforts around the
world to reduce and prevent it, there is still a lack of understanding
of its origin, transmission and methods of treatment. Understanding
the impact of COVID-19 factors helps mitigate its spread, but there
is little research on the geographic distribution and spatial analysis
of this pandemic.
Understanding this spatial pattern or distribution is therefore critical
to identifying those most at risk and for allocating resources and
appropriate responses to hotspots. Spatial analysis is required to
identify groups of areas most affected and to understand the
associations with vulnerability factors, such as low-income areas. It
is possible to assess disease risks, trends in outbreaks across time
and space, and points of infection. In addition, these methods may
relate to the design, planning and distribution of international health
resources for treatment, control, and prevention facilities.
Therefore, this study aimed to investigate the dynamics of the trend
by studying the distribution of the spread of the Corona virus based
on modern methods represented by geographic information systems
by knowing the distribution of the spread of the virus, the
neighborhood link and the direction of distribution.
Keywords
