In this study, the ANN approach was applied to
analyze COVID-19 new cases in Jamaica. The employed data covers the period 1
January 2020 – 25 March 2021 and the out-of-sample period ranges over the
period 26 March – 31 July 2021. The residuals and forecast evaluation criteria
(Error, MSE and MAE) of the applied model indicate that the model is quite
stable. The results of the study indicate that the pandemic may vanish in May
2021 in the country. Amongst other suggested policy directions, there is need
for the government of Jamaica to ensure adherence to safety guidelines while
continuing to create awareness about the COVID-19 pandemic.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Dr. Smartson. P. NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Aikins
J S., Kunz J C., Shortliffe EH (1983) PUFF: an expert system for interpretation
of pulmonary function data. Comput Biomed Res 1983; 16: 199–208.
Dan
W. Patterson (1995) Artificial Neural networks Theory and Applications.
Singapore; New York: Prentice Hall.
Khemasuwan
D., Sorensen J S., & Colt HG (2020). Artificial intelligence in pulmonary
medicine: computer vision, predictive model and COVID-19. Eur Respir. 29:
200181 [https://doi.org/ 10.1183/16000617.0181-2020].
Kishan
Mehrotra., Chilukuri K., Mohan, & Sanjay Ranka (1997) Elements of
artificial neural networks
Naizhuo
Zhao., Katia Charland., Mabel Carabali., Elaine O., Nsoesie., Mathieu MaheuGiroux.,
Erin Rees., Mengru Yuan., Cesar Garcia Balaguera., Gloria Jaramillo Ramirez.,
& Kate Zinszer (2020). Machine learning and dengue forecasting: Comparing
random forests and artificial neural networks for predicting dengue burden at
national and sub-national scales in Colombia. PLOS Neglected Tropical Diseases
| https://doi.org/10.1371/journal.pntd.0008056
Pan
J., & Tompkins W J (1985). A real-time QRS detection algorithm. IEEE Trans
Biomed Eng. 32: 230–236.
Smartson.
P. Nyoni, Thabani Nyoni, Tatenda. A. Chihoho (2020) Prediction of new Covid-19
cases in Ghana using artificial neural networks. IJARIIE Vol-6 Issue-6 2395-4396
Snow
M G., Fallat R J., & Tyler WR (1988). Pulmonary consult: concept to
application of an expert system. J Clin Eng 1988; 13: 201–206. 13 Grosan C,
Abraham A. Rule-based expert systems. In: Intelligent Systems. Intelligent
Systems Reference Library, Vol 17. Berlin, Heidelberg, Springer. 2011; pp.
149–185
Weng
S F., Reps J., Kai J., Garibaldi J M., & Qureshi N (2017). Can
machine-learning improve cardiovascular risk prediction using routine clinical
data? PLOS ONE 12(4): e0174944. https://doi.org/10.1371/journal.pone.0174944
