Objective; swine flu is known to be caused by influenza A subtypes H1N1,H1N2, H2N3, H3N1, and H3N2, was first proposed to be a disease related to human flu during the 1918 flu pandemic, Iraq face the epidemic of 2009, many patients admitted to the medical word of alkindy teaching hospital, the clinical features were observed and managed according to WHO protocols.
The aim of the study; is to asses some features of morbidity and mortality of swine flu epidemic admitted patients in 2009 in alkindy teaching hospital.
Methods; A total 131 patients with suspected influenza
admitted to Alkindy Teaching Hospital all complain of
fever more than 38c, sore throat with or without cough.
The admitted patients are of two main
groups;a)seventeen secondary school pupils on their
return from US,b)one hundred fourteen patients
admitted from October till end of December 2009.
History ,clinical examination and routine investigations
for all patient in addition to blood samples and swabs
from nose and throat were taken and sent to the central
lab to test for H1N1 by PCR(real time).
Results; fifty three (42%) of our patients found to have swine flu by positive test (real time PCR). It show that there is no relation of age whether young or old to being infected with swine flu or non swine flu (p>0.05). Table 2 also show that gender had no relation to possibility of infection with both non swine flu and swine flu influenza (P <0.05). We found that there was no difference of mortality between swine flu and non swine flu types (p>0.05) and pneumonia are more commonly associate influenza of negative test for swine flu virus (p<0.001). headache is more common in swine flu while chill is more common in non swine flu (p<0.05) in addition diabetes is more commonly associate swine flu than other types of influenza (p<0.05).
Conclusion; This study concluded that mortality in
swine flu influenza is not different from mortality in
non swine flu influenza. Also age and gender had no
relation to possibility of having swine flu infection .
Pneumonia found to be more in non swine flu,
headache associate swine flu more than non swine flu
and chills associate swine flu. Diabetes associate swine
flu more than non swine flu but smoking had no
relation.
DBN Rashid, International Journal of Innovation, Creativity and Change, 2020
Reducing the drag force has become one of the most important concerns in the automotive industry. This study concentrated on reducing drag through use of some external modifications of passive flow control, such as vortex generators, rear under body diffuser slices and a rear wing spoiler. The study was performed at inlet velocity (V=10,20,30,40 m/s) which correspond to an incompressible car model length Reynolds numbers (Re=2.62×105, 5.23×105, 7.85×105 and 10.46×105), respectively and we studied their effect on the drag force. We also present a theoretical study finite volume method (FVM) of solvi
The definition of "prostitute" and prostitution is a difficult one and a
question over which the legislators of many lands and nations differed. A
notable feature of prostitution is its epidemic increase at times of war,
revolution and armed commotion, on account of economic, social and
psychological factors generated by such conditions of mortal conflicts. Wars
invariably deprive young wives and lovers of their men folk, resulting in
financial , sexual and emotional frustrations . At no time is the natural
balance between the sexes more seriously disturbed than during wars, when
thousands of men are thrown into one sector of the country and hundreds of
towns and villages are left to women and children only. Lo
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... Show MoreDeveloping an efficient algorithm for automated Magnetic Resonance Imaging (MRI) segmentation to characterize tumor abnormalities in an accurate and reproducible manner is ever demanding. This paper presents an overview of the recent development and challenges of the energy minimizing active contour segmentation model called snake for the MRI. This model is successfully used in contour detection for object recognition, computer vision and graphics as well as biomedical image processing including X-ray, MRI and Ultrasound images. Snakes being deformable well-defined curves in the image domain can move under the influence of internal forces and external forces are subsequently derived from the image data. We underscore a critical appraisal
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