Background: There is a need for a periodic review of acute bacterial meningitis (ABM) since the pathogens responsible for infection vary with time, geography and patient's age. This study was carried out to describe the epidemiology of different types of meningitis and variables affecting the outcome (improvement, complication and death).
Patients and Methods: All the cases of meningitis diagnosed and treated at Ibn- Al-Khateeb Teaching Hospital for the period Jan. 1993 to Dec. 1998 were included in this study. The collected data were age, sex, occupation, date of admission, date of discharge, type of meningitis and outcome of the disease.
Results: Out of the total cases, 73.3% were ABM. High rate of ABM was among children < 5 years of age and a significant (p = 0.01) high rate was observed among male (60%) (p = 0.01). Predictors of outcome of meningitis were age, sex, residence, duration of hospitalization and type of meningitis.
Conclusion: ABM was predominantly observed in children. The high case fatality rate reported in this study was attributed to the deterioration of health services due to wars and sanctions in 1990s.
Аннотация
в статье рассматриваются проблемы преподавания русской литературы в иракской аудитории.. Использование литературы в преподавании иностранного языка, как правило, имеет две цели. Первая-чисто лингвистическая .. Вторая цель, однако, ассоциируется больше с экстралингвистикой и представляет собой ознакомление студентов с различными аспектами русской жизни, культуры,
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We have presented the distribution of the exponentiated expanded power function (EEPF) with four parameters, where this distribution was created by the exponentiated expanded method created by the scientist Gupta to expand the exponential distribution by adding a new shape parameter to the cumulative function of the distribution, resulting in a new distribution, and this method is characterized by obtaining a distribution that belongs for the exponential family. We also obtained a function of survival rate and failure rate for this distribution, where some mathematical properties were derived, then we used the method of maximum likelihood (ML) and method least squares developed (LSD)
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