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Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
MOLECULAR TYPING OF INFLUENZA VIRUSES COLLECTED FROM LABORATORY CONFIRMED INFLUENZA PATIENTS IN JEDDAH, SAUDI ARABIA BETWEEN 2017 AND 2018
تحديد سلالات فيروسات الإنفلونزا باستخدام تقنية الأحياء الجزيئية في عينات مرضى الإنفلونزا المؤكدة مخبريا بمدينة جدة، المملكة العربية السعودية بين عامي 2017 حتى 2018
Subject
:
Faculty of Applied Medical Sciences
Document Language
:
Arabic
Abstract
:
Influenza A and B viruses are known to be circulating in the human population causing pandemics and seasonal epidemics with high morbidity and mortality worldwide. Further molecular characterization of influenza subtypes or lineages is crucial to assess and monitor the emergence of new pathogenic variants and subsequently formulate effective control measures. Jeddah city is the main gateway receiving pilgrims from all over the world throughout the year increasing the chance of inter-lineage re-assortment among influenza viruses that may cause a major threat to the community. This study aimed at molecular characterization of influenza viruses’ subtypes and lineages in 737 laboratory-confirmed influenza-positive patients at King Abdulaziz Medical City during the 2017–2018 seasons in Jeddah, Saudi Arabia using validated Real time RT-PCR assays following WHO protocols. A total of 538 (73%) patients had Flu A infections while the remaining 199 (27.0%) patients had Flu B infections. The H1N1 subtype was identified in 310 (57.6%) of the Flu A cases while the H3N2 subtype was identified in 228 (42.4%) samples. In Flu B cases, Yamagata lineage was dominated and identified in 144 (72.4%), while Victoria linage was identified in 52 (26.1%). 2 (1.0%) of patients showed a co-infection with both Victoria and Yamagata lineages. 1 (0.5%) Flu B sample was untypable. Most influenza infections occurred in adult patients between 19 and 60 years of age (54.0%, P= 0.018 and 0.005). In the two seasons of the study, 0-5 years age group had a higher association with the Flu A non-H1N1 (OR 1.94; 95% CI: 1.01-3.75 and OR 2.00; 95% CI: 1.11-3.59) while the age group 19-60 years had a higher association with the Flu A H1N1 infection (OR 2.27; 95% CI: 1.18-4.36 and OR 3.62 ; 95% CI: 1.46-8.99). The age group 6-18 years had a higher association with the Flu B infection (OR 2.64; 95% CI: 1.25-5.590 and OR 2.82; 95% CI: 1.26-6.30) in the two seasons of the study. H1N1 subtype was responsible for hospital admission in 2017 (n=54, 52.0%) while H3N2 was responsible for that in 2018 (n=40, 45%). The results show that continuous surveillance and monitoring of influenzas strains are crucial to understand the distribution of influenza subtypes and lineages in our community and help to control infections by effective control programs.
Supervisor
:
Prof. Esam Ibraheem Azhar
Thesis Type
:
Master Thesis
Publishing Year
:
1441 AH
2020 AD
Co-Supervisor
:
Dr. Sherif Ali El-Kafrawy
Added Date
:
Wednesday, June 24, 2020
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
منيرة صالح السعيد
Alsaeed, Moneerah Saleh
Researcher
Master
Files
File Name
Type
Description
46491.pdf
pdf
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