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Psychometric Look at men and women Recovering Quality lifestyle (ReQoL) Result Evaluate and Review regarding Health-Related Standard of living During the COVID-19 Outbreak.
The global COVID-19 pandemic originated from the Chinese city of Wuhan and gradually reached every end of the world. GsMTx4 price 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. 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 = 1.0039, p = 0.036) were significantly associated with PHS. However, in multivariate logistic regression, only the PaO2/FiO2 ratio remained significantly correlated with PHS (OR = 0.9164; 95% CI 0.8479-0.9904, p = 0.0275). In ROC curve analysis, using a threshold of 248, the PaO2/FiO2 ratio predicted PHS with sensitivity and specificity of 60% and 91%, respectively (AUC = 0.780, 95% CI 0.637-0.886 p = 0.002).

The PaO2/FiO2 ratio on admission is independently associated with PHS in COVID-19 patients. Larger prospective studies are needed to confirm this finding.
The PaO2/FiO2 ratio on admission is independently associated with PHS in COVID-19 patients. Larger prospective studies are needed to confirm this finding.
Our study aims to assess the prevalence of COVID-19 in the Middle East and North Africa (MENA) region. It aims also to examine the various factors that have led to the unequal distribution of the confirmed cases among the different MENA countries.

Data was retrieved from the World Health Organization situation reports issued between January 29 and June 5, 2020. It included the numbers of cumulative cases, new cases, and cumulative deaths reported by MENA countries. Similarly, we searched for relevant articles in PubMed and Medline.

A total of 481,347 cases and 11,851 deaths occurred in the MENA region, accounting for 7.37% and 3.06% of the global cases and deaths respectively. Iran had the highest number of cases and deaths accounting for 34.1% and 68.1% of the MENA cases and deaths respectively. Together the Gulf Cooperation Council (GCC) countries accounted for 52.2% and 10.6% of MENA cases and deaths respectively. Egypt had the highest number of confirmed cases and deaths among the African countries of the region. Syria, Libya and Yemen (countries at war) had the lowest numbers of reported cases. The MENA region overall case fatality rate (CFR) was estimated at 2.46%. The highest CFR (22.75%) occurred in Yemen, and the lowest (0.07%) in Qatar.

The unequal distribution of wealth among the MENA countries, the lack of sociopolitical stability, and the high number of undetected and underreported cases in some of them have resulted in varied incidences of COVID-19 related morbidity and mortality.
The unequal distribution of wealth among the MENA countries, the lack of sociopolitical stability, and the high number of undetected and underreported cases in some of them have resulted in varied incidences of COVID-19 related morbidity and mortality.
The study of epidemiological outcomes of COVID-19 in the affected countries needs to be conducted to implement an effective strategy.

Our study included age and sex-based analysis of epidemiological data of infected and deceased patients from various countries. The patient data was graphically depicted with the slope's calculation to describe a gradual or steep spread of the disease along with subsequent rise or fall in the death reports.

Population groups of 20-49 years of age and 50 years-above were highly vulnerable to infection. Interestingly, 20-49 years of age group was most affected in India. However, higher population of the deceased were reported in the 50 years-above in all countries. link2 India and South Korea demonstrated a gradual appearance of COVID-19 positive cases than other countries illustrated by reduced slope %. Further the highest percentage of infected people and deaths were reported from the densely populated states of India. We observed a sex independent prevalence of COVID-19. The B influence of the virus on either sexes. Although vaccines may stimulate non-specific immunity, experimental proofs are needed to demonstrate the potential of any vaccine against SARS-CoV-2.
This paper aims to estimate the incubation period and serial intervals for SARS-CoV-2 based on confirmed cases in Jiangxi Province of China and meta-analysis method.

Distributions of incubation period and serial interval of Jiangxi epidemic data were fitted by "fitdistrplus" package of R software, and the meta-analysis was conducted by "meta" package of R software.

Based on the epidemic data of Jiangxi, we found the median days of incubation period and serial interval were 5.9 days [IQR 3.8 - 8.6] and 5.7 days [IQR 3.6 - 8.3], respectively. The median days of the infectivity period at pre-symptomatic was 1.7 days [IQR 1.1 - 2.4]. link3 The meta-analysis based on 64 papers showed the pooled means of the incubation period and serial interval were 6.25 days (95% CrI 5.75 - 6.75) and 5.15 days (95% CrI 4.73 - 5.57), respectively.

Our results contribute to a better understanding of COVID-19 and provide useful parameters for modelling the dynamics of disease transmission. The serial interval is shorter than the incubation period, which indicates that the patients are infectious at pre-symptomatic period, and isolation of detected cases alone is likely to be difficult to halt the spread of SARS-CoV-2.
Our results contribute to a better understanding of COVID-19 and provide useful parameters for modelling the dynamics of disease transmission. The serial interval is shorter than the incubation period, which indicates that the patients are infectious at pre-symptomatic period, and isolation of detected cases alone is likely to be difficult to halt the spread of SARS-CoV-2.
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