Mathematical modeling for COVID-19 pandemic in Iraq

Analysis, predicting, and controlling the COVID-19 pandemic in Iraq through SIR model

“…In this vein, many studies have been published in recent years that have been adopted for the creation and evaluation of epidemiological models, and many of these contain significant findings [2] , [3] , [4] . Since the new pandemic’s emergence, a slew of mathematical models has given health officials in many countries some useful insights into the most effective ways to stop the disease from spreading [5] , [6] , [7] , [8] , [9] .…”

On computational analysis of nonlinear regression models addressing heteroscedasticity and autocorrelation issues: An application to COVID-19 data

“…According to their mathematical estimates, the global epidemic will peak at the end of October 2020, with approximately 14.12 million people infected cumulatively. Growth models are used as modeling tools in many fields, including forestry, zoology, finance, epidemiology [24] , [25] , [26] , [27] . The problem with using growth models is that we often encounter violations of nonlinear regression assumptions.…”