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Journal of Research in Health Sciences، جلد ۱۲، شماره ۱، صفحات ۲۵-۰
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Real Time Detection of a Measles Outbreak using the Exponentially Weighted Moving Average: Does it Work? |
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| چکیده انگلیسی مقاله |
Background : There are few published studies that use real data testing to examine the performance of outbreak detection methods. The aim of this study was to determine the performance of the Exponentially Weighted Moving Average (EWMA) in real time detection of a local outbreak in Mashhad City, eastern Iran . Methods : The EWMA algorithms (both EWMA 1 with λ=0.3 and EWMA 2 with λ=0.6) were applied to daily counts of suspected cases of measles to detect real outbreak which has occurred in the city of Mashhad during 2010. The performances of the EWMA algorithms were evaluated using a real data testing approach and reported by correlation analysis . Results : Mashhad outbreak was detected with a delay of about 2 to 7 days using EWMA algorithms as outbreak detection method. Moreover, the utility of EWMA 2 algorithm in real time detection of the outbreaks was better than EWMA 1 algorithm . Conclusion : Applying the EWMA algorithm as an outbreak detection method might not be useful in timely detection of the local outbreaks . |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
منوچهر کرمی | manoochehr karami
حمید سوری | hamid soori
یداله محرابی | yadollah mehrabi
علی اکبر حقدوست | ali akbar haghdoost
محمد مهدی گویا | mohammad mehdi gouya
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| نشانی اینترنتی |
http://journals.umsha.ac.ir/index.php/JRHS/article/view/651 |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
Original Articles |
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