Hybrid Neural Network Prediction for Time Series Analysis of COVID-19 Cases in Nigeria
Journal Title: Journal of Intelligent Management Decision - Year 2022, Vol 1, Issue 1
Abstract
The lethal coronavirus illness (COVID-19) has evoked worldwide discussion. This contagious, sometimes fatal illness, is caused by the severe acute respiratory syndrome coronavirus 2. So far, COVID-19 has quickly spread to other countries, sickening millions across the globe. To predict the future occurrences of the disease, it is important to develop mathematical models with the fewest errors. In this study, classification and regression tree (CART) models and autoregressive integrated moving averages (ARIMAs) are employed to model and forecast the one-month confirmed COVID-19 cases in Nigeria, using the data on daily confirmed cases. To validate the predictions, these models were compared through data tests. The test results show that the CART regression model outperformed the ARIMA model in terms of accuracy, leading to a fast growth in the number of confirmed COVID-19 cases. The research findings help governments to make proper decisions on how the prepare for the outbreak. Besides, our analysis reveals the lack of quarantine wards in Nigeria, in addition to the insufficiency of medications, medical staff, lockdown decisions, volunteer training, and economic preparation.
Authors and Affiliations
Adedayo F. Adedotun
Keywords
Related Articles
- EP ID EP752335
- DOI 10.56578/jimd010106
- Views 34
- Downloads 0
Hotel Performance in the Digital Era: Roles of Digital Marketing, Perceived Quality and Trust
Over the past 15 years, online travel agencies (OTAs), such as Booking.com and Expedia.com, have grown significantly. This growth is correlated with their spending on R&D and marketing initiatives. Digital marketing prom...
Decision Support System for Mobile Phone Selection Utilizing Fuzzy Hypersoft Sets and Machine Learning
In the dynamic landscape of mobile technology, where a myriad of options burgeons, compounded by fluctuating features, diverse price points, and a plethora of specifications, the task of selecting the optimum mobile phon...
Analysis of the Impact of Artificial Intelligence in Enhancing the Human Resource Practices
The lethal coronavirus illness (COVID-19) has evoked worldwide discussion. This contagious, sometimes fatal illness, is caused by the severe acute respiratory syndrome coronavirus 2. So far, COVID-19 has quickly spread t...
Ranking Countries According to Logistics and International Trade Efficiencies via REF-III
The interrelation between logistics and international trade is crucial for understanding a country's ability to increase its share in global trade. An adequate and well-integrated logistics sector and infrastructure are...
Evaluating Logistics Flexibility in Istanbul-Based Companies Using Interval-Valued Fermatean Fuzzy SWARA
In the dynamic and unpredictable landscape of modern logistics, the capability to swiftly and effectively adapt to market and consumer fluctuations is imperative for service quality enhancement and competitive positionin...