Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends [PDF]
Alexandria Engineering Journal, 2022 Several machine learning and deep learning models were reported in the literature to forecast COVID-19 but there is no comprehensive report on the comparison between statistical models and deep learning models. The present work reports a comparative time-
K.E. ArunKumar +4 more
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Application of one-, three-, and seven-day forecasts during early onset on the COVID-19 epidemic dataset using moving average, autoregressive, autoregressive moving average, autoregressive integrated moving average, and naïve forecasting methods [PDF]
Data in Brief, 2021 The coronavirus disease 2019 (COVID-19) spread rapidly across the world since its appearance in December 2019. This data set creates one-, three-, and seven-day forecasts of the COVID-19 pandemic's cumulative case counts at the county, health district ...
Christopher J. Lynch, Ross Gore
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Journal of Medical Internet ResearchBackgroundAccurate prediction of population-wide depression incidence is vital for effective public mental health management. However, this incidence is often influenced by socioeconomic factors, such as abrupt events or changes ...
Deliang Yang +14 more
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Journal of Family and Community Medicine, 2019 BACKGROUND: The Infant Mortality Rate (IMR) reflects the socioeconomic development of a nation. The IMR was reduced by 28% between 2015 and 2016 (National Family Health Survey-4 [NFHS-4]) as compared to 2005–2006 (NFHS-3), from 57/1000 to 41/1000 live ...
Amit K Mishra +2 more
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A data-driven approach to predict hydrometeorological variability and fluctuations in lake water levels [PDF]
Journal of Water and Land Development, 2023 Beyşehir Lake is the largest freshwater lake in the Mediterranean region of Turkey that is used for drinking and irrigation purposes. The aim of this paper is to examine the potential for data-driven methods to predict long-term lake levels.
Remziye I. Tan Kesgin +4 more
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Spatial impact on inflation of Java Island prediction using Autoregressive Integrated Moving Average (ARIMA) and Generalized Space-Time ARIMA (GSTARIMA). [PDF]
MethodsXSafira A +3 more
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Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions. [PDF]
BMC Med Res Methodol, 2021 Schaffer AL, Dobbins TA, Pearson SA.
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Indian COVID-19 dynamics: Prediction using autoregressive integrated moving average modelling [PDF]
Scripta Medica, 2021 Background: The forecasting of Coronavirus Disease-19 (COVID-19) dynamics is a centrepiece in evidence-based disease management. Numerous approaches that use mathematical modelling have been used to predict the outcome of the pandemic, including data ...
Tak Amit +3 more
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Forecasting domestic credit growth based on ARIMA model: Evidence from Vietnam and China [PDF]
Management Science Letters, 2019 Credit is an economic category and is also a product of the commodity economy, which exists through many socio-economic forms to promote economic growth. Therefore, the objective of this paper is to analyst, compare and forecast domestic credit growth in
Doan Van Dinh
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Diagnostics, 2023 Improving forecasts, particularly the accuracy, efficiency, and precision of time-series forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of the Coronavirus disease.
Abdul Aziz K Abdul Hamid +9 more
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