Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
7882471 participants
OBSERVATIONAL
2019-12-31
2020-06-20
Brief Summary
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Detailed Description
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Increased number of cases worldwide had put an enormous load on public health resulting lockdowns, quarantines and curfews. Predicting number of cases is hard as the increment of cases between communities differ.
Time series had been used in different fields of science to predict, such as signal processing, mathematical finance, weather prediction. In medicine, time series analysis were used in number of admitted patients to hospitals. Aim of this study is to predict the total number of Covid-19 cases worldwide using time series anaylsis.
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Model Building
Number of Covid-19 cases from December 31, 2019 to June 1, 2020 were used to build ARIMA model using Hyndman-Khandakar algorithm.
Model Building
Model building
Model Validation
Number of Covid-19 cases from June 2, 2020 to June 15, 2020 were used to forecast cases using the ARIMA model
Model validation
Model validation
Interventions
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Model Building
Model building
Model validation
Model validation
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
No
Sponsors
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Turkish Ministry of Health Izmir Teaching Hospital
OTHER_GOV
Responsible Party
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Serhat Akay
Principal Investigator
Locations
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Republic of Turkey, Health Sciences University, Izmir Bozyaka Education and Training Hospital
Izmir, , Turkey (Türkiye)
Countries
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Other Identifiers
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TurkishMOHITH-TimeSeries
Identifier Type: -
Identifier Source: org_study_id
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