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
<p><span>A Botnet is one of many attacks that can execute malicious tasks and develop continuously. Therefore, current research introduces a comparison framework, called BotDetectorFW, with classification and complexity improvements for the detection of Botnet attack using CICIDS2017 dataset. It is a free online dataset consist of several attacks with high-dimensions features. The process of feature selection is a significant step to obtain the least features by eliminating irrelated features and consequently reduces the detection time. This process implemented inside BotDetectorFW using two steps; data clustering and five distance measure formulas (cosine, dice, driver & kroeber, overlap, and pearson correlation
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So teilte ich diese Wörter (Grab, Schatten, Last, Schrei) als Dimensionen, von denen diese Arbeit umgekreist wird.
Diese Arbeit besteht aus vier Kapiteln, die aufeinander aufgebaut sind. Im ersten K
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