Phenomenological Modelling of COVID-19 Epidemics in Sri Lanka, Italy, the United States, and Hebei Province of China
Joint Authors
Attanayake, A. M. C. H.
Perera, S. S. N.
Jayasinghe, S.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-19
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The COVID-19 pandemic has resulted in increasing number of infections and deaths every day.
Lack of specialized treatments for the disease demands preventive measures based on statistical/mathematical models.
The analysis of epidemiological curve fitting, on number of daily infections across affected countries, provides useful insights on the characteristics of the epidemic.
A variety of phenomenological models are available to capture the dynamics of disease spread and growth.
The number of daily new infections and cumulative number of infections in COVID-19 over four selected countries, namely, Sri Lanka, Italy, the United States, and Hebei province of China, from the first day of appearance of cases to 2nd July 2020 were used in the study.
Gompertz, logistic, Weibull, and exponential growth curves were fitted on the cumulative number of infections across countries.
AIC, BIC, RMSE, and R2 were used to determine the best fitting curve for each country.
Results revealed that the most appropriate growth curves for Sri Lanka, Italy, the United States, and China (Hebei) are the logistic, Gompertz, Weibull, and Gompertz curves, respectively.
Country-wise, overall growth rate, final epidemic size, and short-term forecasts were evaluated using the selected model.
Daily log incidences in each country were regressed before and after the identified peak time of the respective outbreak of epidemic.
Hence, doubling time/halving time together with daily growth rates and predictions was estimated.
Findings and relevant interpretations demonstrate that the outbreak seems to be extinct in Hebei, China, whereas further transmissions are possible in the United States.
In Italy and Sri Lanka, current outbreaks transmit in a decreasing rate.
American Psychological Association (APA)
Attanayake, A. M. C. H.& Perera, S. S. N.& Jayasinghe, S.. 2020. Phenomenological Modelling of COVID-19 Epidemics in Sri Lanka, Italy, the United States, and Hebei Province of China. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1139517
Modern Language Association (MLA)
Attanayake, A. M. C. H.…[et al.]. Phenomenological Modelling of COVID-19 Epidemics in Sri Lanka, Italy, the United States, and Hebei Province of China. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1139517
American Medical Association (AMA)
Attanayake, A. M. C. H.& Perera, S. S. N.& Jayasinghe, S.. Phenomenological Modelling of COVID-19 Epidemics in Sri Lanka, Italy, the United States, and Hebei Province of China. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1139517
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139517