抄録
The Covid-19 epidemic has significantly impacted economies, society, and public health all around the world, particularly in developing nations like Bangladesh. The issue is still not resolved, and precise forecasting models are required to foresee the virus's future spread and guide public health policies. The goal of this research is to estimate and predict how the Covid-19 epidemic would develop in the future, including the total number of cases, positive rates and new cases, and potentially major solutions to aid the healthcare system in treating new patients. Secondary data on total cases, positive rate, and daily new cases caused by Coronavirus were arranged from March 15, 2020 to February 3, 2023. The prophet package in R studio was used to forecast these three variables for the very near future. The Generalized Additive Model (GAM), factor analysis and Pareto chart were applied to the secondary and collected primary data set. This study found that the number of daily affected instances increased just minimally after June 2023 and peaked in July of that year, before declining again and increasing slightly in early 2024. Factor analysis was done to determine the most common three categories of symptoms; these data were collected from people who were affected by COVID-19. These data resulted in patients with sore throats having difficulty eating and positively related with first factor, patients with dry mouth have headaches, and lastly patients had dizziness. Also, the study revealed that drinking green coconut water on a daily basis, exercising, and eating a well-balanced diet in a regular routine cured over 80% of the difficulties for the long COVID-19. Different pandemic situation like COVID-19 can be better handled and the issue can be assisted to resolve with the help of such findings.
https://ror.org/04agmb972 
