Background: Childhood meningitis is a major
cause of morbidity and mortality, Hemophilus
influenza b (Hib) is the most common cause in
many countries, especially below 5 years and
before the development of conjugated Hib vaccine,
it is followed by Streptococcus Pneumonia, and
then N. meningitides, in addition to other
microorganisms.
Objective: To identify the causative organisms
of bacterial meningitis and to identify the factors
predisposing significantly to the incidence of
bacterial meningitis.
Method: This cross sectional , study was done in
Al-Elwia Pediatric Hospital during the period 1st
of January 2007 to 30th of June 2007.Eighty four
patients with presumptive diagnosis of meningitis
were included in this study, from the age of 2
months -12 years, History about some risk factors
were taken in details. Analysis of cerebrospinal
Fluid (CSF) with Gram stains & cultures were
done in all cases.
Results: The number of cases of meningitis was
50 (20 proved meningitis & 30 partially treated
meningitis), while 34 patients are found to have no
meningitis.
Streptococcus pneumoniae was identified in
45%, Hemophilus Influenza b in 20%, while
Nisseria meningitides 5%, other organisms include
Escherichia coli, Staphylococcus aureus,
Klebsiella, & salmonella.
Many factors affecting the occurrence of
bacterial meningitis & these include: age, sex,
residence, body weight and home overcrowding.
Conclusions: Streptococcus pneumoniae was
found to be the predominant microorganism
causing bacterial meningitis in children aged 2
months-12 years, followed by Hemophilus
influenza b, while N. meningitides were one of the
rare bacteria which had been identified. E. coli was
found to be the major cause in cases of ventriculoperitoneal
(VP) shunt meningitis.
European Chemical Bulletin (ISSN 2063-5346) is a peer-reviewed journal that publishes original research papers, short communications, and review articles in all areas of chemistry. European Chemical Bulletin has eight sections, namely
In this study, we investigate about the run length properties of cumulative sum (Cusum) and The exponentially weighted moving average (EWMA) control charts, to detect positive shifts in the mean of the process for the poisson distribution with unknown mean. We used markov chain approach to compute the average and the standard deviation for run length for Cusum and EWMA control charts, when the variable under control follows poisson distribution. Also, we used the Cusum and the EWMA control charts for monitoring a process mean when the observations (products are selected from Al_Mamun Factory ) are identically and independently distributed (iid) from poisson distribution i
... Show MoreIn this paper, the system of the power plant has been investigated as a special type of industrial systems, which has a significant role in improving societies since the electrical energy has entered all kinds of industries, and it is considered as the artery of modern life.
The aim of this research is to construct a programming system, which could be used to identify the most important failure modes that are occur in a steam type of power plants. Also the effects and reasons of each failure mode could be analyzed through the usage of this programming system reaching to the basic events (main reasons) that causing each failure mode. The construction of this system for FMEA is dependi
... Show More