ArticleIranian journal of public health2017
Early Detection of Meningitis Outbreaks: Application of Limited-baseline Data.
Article in Iranian journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Spatial and Temporal Analysis of Meningitis Cumulative Incidence in Iran, 2011-2022.Iranian journal of public health · 2025Article
- Real-time risk ranking of emerging epidemics based on optimized moving average prediction limit-taking the COVID-19 pandemic as an example.BMC public health · 2023Article
- Epidemiology incidence and geographical distribution of Meningitis using GIS and its incidence prediction in Iran in 2021.Medical journal of the Islamic Republic of Iran · 2021Article
- Aberration detection in influenza trends in Iran by using cumulative sum chart and period regression.Journal of Taibah University Medical Sciences · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is no published study evaluating the performance of cumulative sum (CUSUM) algorithm on meningitis data with limited baseline period. This study aimed to evaluate the CUSUM performance in timely detection of 707 semi-synthetic outbreak days.
methodsSimulated outbreaks were generated using syndromic data on fever and neurological symptoms from Mar 2010 to Mar 2013 in Hamadan Province, the west of Iran. The performance of CUSUM algorithms, numbered from 1 to 11, in timely detection of outbreaks was measured using sensitivity, specificity, false alarm rate, likelihood ratios and area under the receiver operating characteristics (ROC) curve.
resultsThe highest amount of sensitivity was related to algorithm11 (CUSUM
conclusionThe used approach in this study can be the basis for applying CUSUM algorithm in conditions that there is no access to recorded baseline data about under surveillance diseases or health events.
Indexed as
Identifiers
29308380PMC5750348What OpenQuestion holds
Registered trials
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