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As of February 2, 2020, the estimated effective reproduction number was below 1, and no new cases were reported since February 26. These showed that Guizhou Province had achieved significant progress in preventing the spread of the epidemic. The medical isolation of close contacts was consequential. Meanwhile, the asymptomatic carriers and the super-spreaders must be isolated in time, who would cause a widespread infection.

As of February 2, 2020, the estimated effective reproduction number was below 1, and no new cases were reported since February 26. These showed that Guizhou Province had achieved significant progress in preventing the spread of the epidemic. The medical isolation of close contacts was consequential. Meanwhile, the asymptomatic carriers and the super-spreaders must be isolated in time, who would cause a widespread infection.

The global COVID-19 pandemic originated from the Chinese city of Wuhan and gradually reached every end of the world. It has adversely affected economies of developed as well as underdeveloped countries, the subcontinent has been hit badly by the negative consequences of deadliest coronavirus. Zegocractin People are getting affected by the virus in large numbers and cases in growing on daily bases.

The present study employs Automatic ARIMA through R package "forecast", to predict the growing number of cases for upcoming 14 days starting on 1st July 2020 and ending on 14 July 2020. Using 107 daily observations of the confirmed cases of COVID-19, it seems an important concern to predict the cases to help governments of the region plan accordingly.

The outcomes of the study indicate that ARIMA applied on the sample rationally predicts the confirmed cases of coronavirus for next 14 days in the subcontinent. An increased trend is observed for Pakistan and India with constant cases for Bangladesh in the coming 14 days.

Pakistan is having the highest predicted growth rate in terms of cases followed by India. Therefore, the governments need to build adequate policies in order to contain the spread of the virus.

Pakistan is having the highest predicted growth rate in terms of cases followed by India. Therefore, the governments need to build adequate policies in order to contain the spread of the virus.

Since the first published cases of the Coronavirus disease known as COVID-19 in the city of Wuhan Hubei Province in China, up until to the time of preparation of this report in mid-September 2020, more than 30 million people have been infected all over the world. In March 2020, more than 300,000 cases have been reported all over Iraq. This study aims to represent data analysis, modelling and forecasting approaches to the presented data in the Kurdistan Region of Iraq.

The project involves mathematical models for forecasting and artificial simulations using particles. In the study, time series models including Simple Exponential Model, Holt's Method and Brown's Models have been used for the forecasting of the future potential rates in the area. A series of simulations have been conducted to observe the possibilities of virus spread rates in a virtual world which represents a quarter of Erbil.

The outcome of the study shows how the disease have spread in Kurdistan, and what are the current rates to compare with neighbour regions. The modelling clearly shows that with cases still sporadically appearing, the risk of second and third waves of infections is high.

Therefore, the regional government must reduce unnecessary gatherings to the lowest possible level. A scientific registry system of disease statistics must be put in place and rigorously updated all the times. We recommend the officials use a nationwide database provided to the public to monitor movement of every infected individual, to prevent further spread.

Therefore, the regional government must reduce unnecessary gatherings to the lowest possible level. A scientific registry system of disease statistics must be put in place and rigorously updated all the times. We recommend the officials use a nationwide database provided to the public to monitor movement of every infected individual, to prevent further spread.Pandemic of novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections in China is now become global public health crisis. At present 87.64% of the world is infected by this deadly illness. The risk from this epidemic depends on the nature of the virus, including how well it transmits from person to person, and the complications resulting from this current illness. The novel coronavirus has killed thousands of people in China and other countries as well; its rate of mortality is increasing day by day. There is an urgent need to control the virus by developing vaccine or any other antiviral drugs to save the world from this deadly viral infection.Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel coronavirus that causes coronavirus diseases 2019 (COVID-19). The SARS-CoV-2 is very contagious and nobody is known to be immune to it. The post-infected lung would leave a scar known as fibrosis, a scar tissue. A study from Wuhan, China suggested the development of fibrosis, though it was too early to label these lung changes as irreversible fibrosis in a time range of 3 weeks. The occurrence of fibrosis indicates a chronic infection which greatly contributes to the hallmark symptom of COVID-19 induced ARDS such as shortness of breath and chest pain. However, many of those studies have not yet explained the condition of the patient's lung after total recovery from the COVID-19. This report demonstrates the clinical symptoms, chest CT scan, spirometry, and blood gas analysis of patient after total recovery from the COVID-19 with appearance lung fibrosis.

The early identification of factors that predict the length of hospital stay (HS) in patients affected by coronavirus desease (COVID-19) might assist therapeutic decisions and patient flow management.

We collected, at the time of admission, routine clinical, laboratory, and imaging parameters of hypoxia, lung damage, inflammation, and organ dysfunction in a consecutive series of 50 COVID-19 patients admitted to the Respiratory Disease and Infectious Disease Units of the University Hospital of Sassari (North-Sardinia, Italy) and alive on discharge.

Prolonged HS (PHS, >21 days) patients had significantly lower PaO2/FiO2 ratio and lymphocytes, and significantly higher Chest CT severity score, C-reactive protein (CRP) and lactic dehydrogenase (LDH) when compared to non-PHS patients. In univariate logistic regression, Chest CT severity score (OR = 1.1891, p = 0.007), intensity of care (OR = 2.1350, p = 0.022), PaO2/FiO2 ratio (OR = 0.9802, p = 0.007), CRP (OR = 1.0952, p = 0.042) and platelet to lymphocyte ratio (OR = 1.