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Iranian Association of Medical InformaticsFrontiers in Health Informatics2676-710410120210408A Protocol of Scoping Review of Peak Point Prediction Methods for Epidemic Diseases: Applicable to Coronavirus 2019 Prediction27527510.30699/fhi.v10i1.275ENElhamNazariPh.D. Student of Medical Informatics, Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,. nazarie951@mums.ac.irZahraEbnehoseiniHamedTabesh2021012620210408Background Given, widespread COVID-19 across the world a comprehensive literature review can be used to forecast COVID-19 peak in the countries. The present protocol study aimed to explore epidemic peak prediction models in communicable diseases.MethodsThis protocol study was conducted based on Arksey and O'Malley's. This framework encompasses purpose and hypothesis, modeling, model achievements aspects. A systematic search of English in PubMed was conducted to identify relevant studies. In the pilot step, two reviewers independently extracted the variables from 10 eligible studies to develop a primary list of variables and a data extraction form. In the second step, all eligible studies were assessed by researchers. In the third step, two data extraction forms were combined. The data were extracted and categories were created based on frequency. Qualitative and quantitative methods were used to synthesize the extracted data.DiscussionThis paper can be used for forecasting epidemic peak time of COVID 2019.Reference frame questions aspects were focused on forecasting the epidemic peak time that is a worlds’ concern issue.To clarify the research questions, a combination of O'Malley Arksey's five-step framework and Levac et al. enhancement was used.A classify scheme for the category of the aspects [for the categorization of the dimensions] was presented based on the frequency of their values.

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