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SNI/SNI Digital-Baghdad neurosurgery educational series
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Background:

Access to high-quality neurosurgery online learning is limited in low- and middle-income countries, and Iraq is part of this category. The need for collaboration and connection of people worldwide to exchange ideas and experiences in neurosurgery is a challenge. Surgical Neurology International® (SNI)/SNI Digital stimulated the establishment of the joint effort to bring the discussion about the best experiences in neurosurgery from the United States and Iraq together in an internet meeting format.

Methods:

An online survey was formulated and distributed to the attendees of the SNI-Baghdad neurosurgery meetings. The survey investigates the last 14 consecutive meetings for the period May/2021–April/2022. The online survey was designed utilizing Google Forms. The survey outline includes demographics, general aspects of the meetings, research aspects, surgical anatomy, neuroradiology, and capacity-building aspects. All these sections of the survey used a 5-point Likert scale.

Results:

The total number of participants was 84 out of 115 sent, with a response rate of 73.1%. The participants were diverse as they ranged from medical students to attending neurosurgeons. The male-to-female ratio was 1:1. Most attendees were from Baghdad (n = 66 [77.6%]) and the highest number of the responders was from the University of Baghdad (n = 46 [54.1%]).

Conclusion:

The targeted online collaborative meetings, SNI-Baghdad neurosurgery meeting as an example, give an insight into the effectiveness of such methods in providing a mutually beneficial educational experience between people of different parts of the world, as assessed by a survey initiated and performed by the attendees.

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Sun Jan 01 2023
Journal Name
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Gap Analysis by Readiness Review Including Online Learning During COVID-19 Pandemic Period for Engineering Programs at the College of Engineering—University of Baghdad
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A comparison between Bayesian Method and Full Maximum Likelihood to estimate Poisson regression model hierarchy and its application to the maternal deaths in Baghdad
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Abstract:

 This research aims to compare Bayesian Method and Full Maximum Likelihood to estimate hierarchical Poisson regression model.

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Thu Mar 29 2018
Journal Name
Iproceedings
Effect of Reminding Parents on Vaccination Dates Using Mobile Short Messages on the Routine Vaccination Coverage of Infants in Al Resafa-Baghdad, 2015-2016
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Specific Activities of Natural Radionuclides and Annual Effective Dose Due to the Intake of Some Types of Children Powdered Milk Available in Baghdad Markets
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The Reality of the Use of Artificial Intelligence Applications in Education by Faculty Members of Scientific and Humanities Colleges at the University of Baghdad
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Publication Date
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An Economic Study of the Margins and Profits of Middlemen in the Marketing of Chicken Meat Marketing Channels in Baghdad Province for the Season 2023
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Publication Date
Sun Aug 01 2021
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