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Statistical Analysis of COVID-19 Pandemic Across the Provinces of Iraq
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The Coronavirus disease 2019 (COVID-19) pandemic is caused by the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which was first identified in December 2019 in Wuhan, China. The outbreak was declared as a Public Health Emergency of International Concern in January 2020 and a pandemic in March 2020. In this study, a complete statistical analysis for SARS-CoV-2 pandemic in entire Iraq, as well as for each governorate separately, is performed for the first time. The study covers a period that starts from the beginning of the pandemic, in the 24th of February 2020, until the 16th of July 2020. It was clear that, although the average number of the reported infection cases was low during February and March, the average infection rate (R0) was >1 (1.3- 2.1), indicating a high spreading rate. During April, when there was a complete lockdown, there was a slight decrease in the RO when the lockdown was lifted, the RO and the number of new cases started to increase rapidly until the 16th of July, when the average number of new cases for every 6 days reached 2281. The cumulative average number of new cases for every six days since the beginning of the pandemic in Iraq on 16 July was  598.4 ±862.4 (Mean± SD). The higher standard deviation than mean value (SD > mean) for most of the analyzes indicates that the official statistics are not reliable. This may be due to the need to conduct further studies as well as the presence of several cases that were not officially reported. In addition, the overall six-day average RO for entire Iraq was 1.4±0.5, with unstable values after the start of the pandemic and absence of monitoring at any time. On the other hand, this study reflects the variations in average RO, average new cases, average recovery rates, average death rates for every 6 days between the Iraqi provinces. Bagdad reported the highest average number of new cases; Babil and Salah aldin reported the highest RO values (2.8± 7.6, 2.5±7.7, respectively). Erbil and Kurkuk reported the highest average recovery rates (372.3± 1340.8, 158±433%, respectively). Babil and Dhiqar reported the highest average death rates (12.2± 63.3, 10.0± 25.8%, respectively), although Duhock did not record any deaths at the time of the study. The data require the attention of the Ministry of Health and Environment to fill in performance holes, as demonstrated by an out-of-control pandemic in Iraq.

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Publication Date
Fri Jun 30 2023
Journal Name
Iraqi Journal Of Science
Statistical Analysis of COVID-19 Data in Iraq
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The analysis of COVID-19 data in Iraq is carried out. Data includes daily cases and deaths since the outbreak of the pandemic in Iraq on February 2020 until the 28th of June 2022. This is done by fitting some distributions to the data in order to find out the most appropriate distribution fit to both daily cases and deaths due to the COVID-19 pandemic. The statistical analysis includes estimation of the parameters, the goodness of fit tests and illustrative probability plots. It was found that the generalized extreme value and the generalized Pareto distributions may provide a good fit for the data for both daily cases and deaths. However, they were rejected by the goodness of fit test statistics due to the high variability of the data.<

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Publication Date
Fri Jan 01 2021
Journal Name
International Journal Of Agricultural And Statistical Sciences
MODELING DEATH RATE OF THE COVID-19 PANDEMIC IN IRAQ
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Publication Date
Thu Apr 14 2022
Journal Name
Plos One
The passage of time in Iraq during the covid-19 pandemic
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The covid-19 global pandemic has influenced the day-to-day lives of people across the world. One consequence of this has been significant distortion to the subjective speed at which people feel like time is passing. To date, temporal distortions during covid-19 have mainly been studied in Europe. The current study therefore sought to explore experiences of the passage of time in Iraq. An online questionnaire was used to explore the passage of time during the day, week and the 11 months since the first period of covid-19 restrictions were imposed in Iraq. The questionnaire also measured affective and demographic factors, and task-load. The results showed that distortions to the passage of time were widespread in Iraq. Participants co

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Publication Date
Sat Sep 30 2023
Journal Name
Al–bahith Al–a'alami
The Iraqi Journalistic Treatment of COVID-19 pandemic
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This research aims to investigate the approaches adopted by Iraqi newspapers in addressing the COVID-19 pandemic crisis. Employing a descriptive methodology and survey technique, the study conducts content analysis on articles published in three prominent newspapers: Al-Sabah, Al-Mada, and Tareeq Al-Shaab. A multi-stage sampling method was employed, encompassing 260 issues of the aforementioned newspapers. Data collection involved the use of a content analysis questionnaire, with the "How it was said?" method utilized to determine analysis categories.
The results showed that Al-Sabah newspaper adopted a positive approach in addressing COVID-19-related topics, while Al-Mada newspaper remained neutral, and Tare

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Publication Date
Sat Sep 12 2020
Journal Name
Al-kindy College Medical Journal
A Brief view on the pediatric COVID- 19 pandemic
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The world is currently challenging the serious effects of the pandemic of the Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). Data on pediatric COVID are rare and scattered in the literature. In this article, we presented the updated knowledge on the pediatric COVID-19 from different aspects. We hope it will increase the awareness of the pediatricians and health care professionals on this pandemic.

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Publication Date
Fri Dec 01 2023
Journal Name
Slas Discovery
Role Of Vaccines Against COVID-19 Pandemic
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Publication Date
Thu Oct 27 2022
Journal Name
2022 International Conference On Engineering And Emerging Technologies (iceet)
Telemedicine Framework in COVID-19 Pandemic
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Publication Date
Sun Jan 01 2023
Journal Name
2nd International Conference Of Mathematics, Applied Sciences, Information And Communication Technology
Spatial and temporal analysis of the spread of Covid-19 in Iraq
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Publication Date
Fri Jun 30 2023
Journal Name
Iraqi Journal Of Science
Spatio-Temporal Mixture Model for Identifying Risk Levels of COVID-19 Pandemic in Iraq
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     This paper focuses on choosing a spatial mixture model with implicitly includes the time to represent the relative risks of COVID-19 pandemic using an appropriate model selection criterion. For this purpose, a more recent criterion so-called the widely Akaike information criterion (WAIC) is used which we believe that its use so limitedly in the context of relative risk modelling. In addition, a graphical method is adopted that is based on a spatial-temporal predictive posterior distribution to select the best model yielding the best predictive accuracy. By applying this model selection criterion, we seek to identify the levels of relative risk, which implicitly represents the determination of the number of the model components o

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Publication Date
Mon Dec 25 2023
Journal Name
Journal Of Legal Sciences
The effectiveness of the control procedures for administration Face Corona Pandemic (covid-19) in Iraq
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The spread of the Corona virus (COVID-19) has led to the use of public authorities to take a range of preventive measures and preventive measures to reduce and combat its prevalence. Adapt to the new position and reduce the spread of the epidemic, and the most important measures taken by the Sonato authorities are closing of some commercial activities, disrupting transport, domestic and social quarantine , and asylum to the partial option for public utilities.

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