ArticleComputational and structural biotechnology journal2020
Tailoring time series models for forecasting coronavirus spread: Case studies of 187 countries.
Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of the effects of pandemic confinements on body weight and their determinants.The British journal of nutrition · 2022Pooled it
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- Repositioning of experimentally validated anti-breast cancer peptides to target FAK-PAX complex to halt the breast cancer progression: a biomolecular simulation approach.Molecular diversity · 2023Article
- Has the COVID-19 pandemic converged across countries?Empirical economics · 2023Article
- Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators.International journal of environmental research and public health · 2022Article
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- Health literacy and fear among Iranian medical students due to COVID-19: An observational study.Brain and behavior · 2022Observational
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- Hypertension Prevalence, Awareness, and Control Among Parents of School-Aged Children in the United Arab Emirates.Patient preference and adherence · 2022Article
- Medication Adherence Among Patients with Multimorbidity in the United Arab Emirates.Patient preference and adherence · 2022Article
- Automated artificial intelligence-enabled proactive preparedness real-time system for accurate prediction of COVID-19 infections- Performance evaluation.Frontiers in medicine · 2022Article
- Application of the ARIMA Model to Predict Under-Reporting of New Cases of Hansen's Disease during the COVID-19 Pandemic in a Municipality of the Amazon Region.International journal of environmental research and public health · 2021Article
- Empirical Evaluation of Alternative Time-Series Models for COVID-19 Forecasting in Saudi Arabia.International journal of environmental research and public health · 2021Article
- Clusters in the Spread of the COVID-19 Pandemic: Evidence From the G20 Countries.Frontiers in public healthArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When will the coronavirus end? Are the current precautionary measures effective? To answer these questions it is important to forecast regularly and accurately the spread of COVID-19 infections. Different time series forecasting models have been applied in the literature to tackle the pandemic situation. The current research efforts developed few of these models and validates its accuracy for selected countries. It becomes difficult to draw an objective comparison between the performance of these models at a global scale. This is because, the time series trend for the infection differs between the countries depending on the strategies adopted by the healthcare organizations to decrease the spread. Consequently, it is important to develop a tailored model for a country that allows healthcare organizations to better judge the effect of the undertaken precautionary measures, and provision more efficiently the needed resources to face this disease. This paper addresses this void. We develop and compare the performance of the time series models in the literature in terms of root mean squared error and mean absolute percentage error.
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