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Introduction: Since the beginning of the COVID-19 epidemic in Iran, several electronic registration systems have been created to record the data of infected patients. This narrative review aimed to investigate the articles that described the COVID-19 electronic registry systems designed and implemented in Iran. Methods: In this review, four electronic databases [Medline (accessed from PubMed), Scopus, Science Direct, and Web of Science] were searched till June 22, 2020, using specific MeSH terms and related keywords in English language. Considering the titles and abstracts, unrelated studies were excluded. The full texts of the remained studies were evaluated by authors, independently. Then, their findings were assessed and reported. Results: Finally, four articles were enrolled, introducing four COVID-19 registries. These registries were designed and launched by Isfahan, Shiraz, Tehran, and Ilam Universities of Medical Sciences. They were different in design, the used algorithms for patients’ management, recorded data, and methods of quality assurance. Conclusion: Considering the differences between various registry systems designed for COVID-19 in Iran, it is recommended to develop a single web-based registry system by the Iran Ministry of Health and Medical Education to register and follow up the patients with COVID-19. [ABSTRACT FROM AUTHOR]

Hydropower is essential for global electricity production, but it consumes water by evaporation from the reservoir surface. Here, a new approach is introduced in relation to modelling the water footprint of electricity (WFe) from hydropower. Two of the most important variables in calculating the WFe are volume of evaporation (EV) and electricity production (EP). In this study, the random forest (RF) model was used to predict both EV and EP. For analysing hybrid models, wavelet transform was used and wavelet RF (WRF) models were developed. After decomposing the input variables by wavelet transform, the relief algorithm (RA) was used to recognize important components and inserted into the RF model. The proposed approach was applied at Mahabad Hydropower in Iran. The results suggest that applying the wavelet transform on input data and using algorithms such as RA can be regarded as a good approach for modelling of EV and EP. [ABSTRACT FROM AUTHOR]