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Levels of Alarm Thresholds of Meningitis Outbreaks in Hamadan Province, west of Iran
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نویسنده
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Faryadres Mohammad ,Karami Manoochehr ,Moghimbeigi Abbas ,Esmailnasab Nader ,Pazhouhi Khabat
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منبع
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journal of research in health sciences - 2015 - دوره : 15 - شماره : 1 - صفحه:62 -65
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چکیده
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Background: few studies have focused on syndromic data to determine levels of alarm thresholds to detection of meningitis outbreaks. the purpose of this study was to determine threshold levels of meningitis outbreak in hamadan province, west of iran. methods: data on both confirmed and suspected cases of meningitis (fever and neurological symptom) from 21 march 2010 to 20 march 2012 were used in hamadan province, iran. alarm threshold levels of meningitis outbreak were determined using four different methods including absolute values or standard method, relative increase, statistical cutoff points and upper control limit of exponentially weighted moving average (ewma) algorithm.results: among 723 reported cases, 41 were diagnosed to have meningitis. standard level of alarm thresholds for meningitis outbreak was determined as incidence of 5/100000 persons. increasing 1.5 to two times in reported cases of suspected meningitis per week was known as the threshold levels according to relative increase method. an occurrence four cases of suspected meningitis per week that equals to 90th percentile was chosen as alarm thresholds by statistical cut off point method. the corresponding value according to ewma algorithm was 2.57 i.e. three cases.conclusions: policy makers and staff of syndromic surveillance systems are highly recommended to apply the above different methods to determine the levels of alarm threshold.
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کلیدواژه
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Meningitis ,Outbreak Detection ,Statistical Process Control ,Surveillance Systems
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آدرس
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hamadan university of medical sciences, ایران, Modeling of Non-communicable Diseases Research Center and Department of Biostatistics & Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran, ایران, Brucellosis Research Center, Department of Biostatistics and Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran, ایران, kurdistan university of medical sciences, ایران, hamadan university of medical sciences, ایران
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Authors
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