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H1N1 INFLUENZA VERSUS SEASONAL INFLUENZA MORBIDITY AND MORTALITY: A PROSPECTIVE STUDY IN AL-KINDY TEACHING HOSPITAL/ IRAQ-BAGHDAD
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Background: H1N1 influenza pandemic or swine flu was an influenza pandemic first described in Iraq in October 2009 .The virus appeared to be anew strain of H1N1 causes wide range of morbidity and mortality among different genders and age groups as part of worldwide pandemics.Seasonal flu is a contagious respiratory illness caused by influenza viruses that infect the nose, throat, and lungs. It can cause mild to severe illness, and at times can lead to death. The best way to prevent the flu is by getting a flu vaccine each year.

Objectives: Is to determine the morbidity and mortality in different age groups in patients with H1N1 influenza versus those patients with seasonal influenza who were admitted at the same time to AL-kindy teaching hospital during pandemic 2009. Type of the study: A retrospective observational study.

Methods: A total number of 210 cases with influenza symptoms and signs were included in this study which was conducted at AL-kindy teaching hospital , Baghdad, Iraq at inpatient medical wards over a period from October to December 2009. All cases were tested by real time PCR for H1N1 influenza virus by taking nasal and throat swab in addition to monitoring symptoms and signs of influenza and chest radiographs.

Results: Out of 210 cases, 90 (42.85%) cases were positive for H1N1 influenza and 120 (57.14%) cases had negative test are considered having seasonal influenza. Of the positive cases(64.44%) were males and (35.55%) were females. Of negative cases(seasonal flu)male gender were (61.66%) , while female gender were (38.33%). 57.77% of positive cases developed flue like illness compared with 54.16% of negative while 25.55% of positive developed pneumonia compared with 22.5% of negative.5.55% of positive cases developed ARDS compared with 5% only in negative cases.11.11% had different presentation in positive cases (bronchitis ,gastroenteritis) while 18.33%of negative. Mortality in positive cases are 14.4% compared with only 10% in negative cases.

Conclusions: Influenza A/H1N1had same symptoms and signs of epidemic seasonal influenza but run aggressive and short course of morbidity in 3-5 days with high percentage of complication and high mortality compared with seasonal epidemic influenza with rare affection above 65 years old, both groups had same incidence of complication with pneumonia and ARDS

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Publication Date
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The oyster ??????? (planned) (Pallas) of lesions that have entered Iraq recently became spyware severe damage in more than a station from power plants in Iraq, including the power plant in Mussayab Vamahar accumulates in pipes cooling and disrupts their work Vtafrtf heat systems cooling and thereby determiningefficiency and lead to added cost many cleaning or replacement of damaged parts

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Publication Date
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A note on an –module with -pure intersection property
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Let be a ring. Given two positive integers and , an module is said to be -presented, if there is an exact sequence of -modules with is -generated. A submodule of a right -module is said to be -pure in , if for every -Presented left -module the canonical map is a monomorphism. An -module has the -pure intersection property if the intersection of any two -pure submodules is again -pure. In this paper we give some characterizations, theorems and properties of modules with the -pure intersection property.

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Publication Date
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Bayes Estimator as a Function of Some Classical Estimator
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Maximum likelihood estimation method, uniformly minimum variance unbiased estimation method and minimum mean square error estimation, as classical estimation procedures, are frequently used for parameter estimation in statistics, which assuming the parameter is constant , while Bayes method assuming the parameter is random variable and hence the Bayes estimator is an estimator which minimize the Bayes risk for each value the random observable and for square error lose function the Bayes estimator is the posterior mean. It is well known that the Bayesian estimation is hardly used as a parameter estimation technique due to some difficulties to finding a prior distribution.

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