scholarly journals The Impact of the Lockdown Measure on the Confirmed Cases of the Novel Coronavirus (COVID-19) in Nigeria

2020 ◽  
pp. 110-119
Author(s):  
Charles Okechukwu Aronu ◽  
Nkechi Udochukwu Otty ◽  
Jacob Chinedum Ehiwario ◽  
Patrick Nnaemeka Okafor
Keyword(s):  
West Africa ◽  
Moving Average ◽  
Arima Model ◽  
Secondary Data ◽  
The Novel ◽  
Test Analysis ◽  
Significant Difference ◽  
Daily Report ◽  
Novel Coronavirus ◽  
The Impact

Aims: This study examined the impact of the lockdown measure on the confirmed cases of the Novel Coronavirus (COVID-19) in Nigeria.  The objectives of the study include to identifying an appropriate autoregressive integrated moving average (ARIMA) model that is adequate for estimating the reported cases of COVID-19 in Nigeria and to ascertain whether the ease of lockdown has a significant impact on the reported cases of COVID-19 in Nigeria.  Place and Duration of Study: The source of the data used for this study was the secondary data obtained from the daily report of the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) from 1st February 2020 to 30th June 2020. Methodology: The statistical tools used for data analysis are the ARIMA time series model and the Chow test analysis. Results: Nigeria ranked 1st in West Africa sub-region with a total of 25, 133 confirmed COVID-19 cases, followed by Ghana with 17, 351 confirmed cases while Gambia recorded the least number of confirmed cases with 47 cases of COVID19. The ARIMA (0, 1, 1) was identified as the best model for forecasting the confirmed COVID-19 cases in Nigeria within the observed period. It was found that there exists a significant difference in the number of confirmed cases of COVID-19 during the lockdown period and the post lockdown period. Conclusion: The study revealed that Nigeria has the most confirmed cases of COVID-19 in West Africa region. Also, the ease of the lockdown was found to increase the number of confirmed virus cases in Nigeria.

scholarly journals Estimating COVID-19 cases in Makkah region of Saudi Arabia: Space-time ARIMA modeling

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250149
Author(s):  
Fuad A. Awwad ◽  
Moataz A. Mohamoud ◽  
Mohamed R. Abonazel
Keyword(s):  
Saudi Arabia ◽  
Moving Average ◽  
Arima Model ◽  
Daily Basis ◽  
World Health ◽  
Arima Models ◽  
Autoregressive Integrated Moving Average ◽  
First Case ◽  
Novel Coronavirus ◽  
The Impact

The novel coronavirus COVID-19 is spreading across the globe. By 30 Sep 2020, the World Health Organization (WHO) announced that the number of cases worldwide had reached 34 million with more than one million deaths. The Kingdom of Saudi Arabia (KSA) registered the first case of COVID-19 on 2 Mar 2020. Since then, the number of infections has been increasing gradually on a daily basis. On 20 Sep 2020, the KSA reported 334,605 cases, with 319,154 recoveries and 4,768 deaths. The KSA has taken several measures to control the spread of COVID-19, especially during the Umrah and Hajj events of 1441, including stopping Umrah and performing this year’s Hajj in reduced numbers from within the Kingdom, and imposing a curfew on the cities of the Kingdom from 23 Mar to 28 May 2020. In this article, two statistical models were used to measure the impact of the curfew on the spread of COVID-19 in KSA. The two models are Autoregressive Integrated Moving Average (ARIMA) model and Spatial Time-Autoregressive Integrated Moving Average (STARIMA) model. We used the data obtained from 31 May to 11 October 2020 to assess the model of STARIMA for the COVID-19 confirmation cases in (Makkah, Jeddah, and Taif) in KSA. The results show that STARIMA models are more reliable in forecasting future epidemics of COVID-19 than ARIMA models. We demonstrated the preference of STARIMA models over ARIMA models during the period in which the curfew was lifted.

scholarly journals ANALYSIS OF POTENTIAL EMPLOYMENT CONSEQUENCES ASSOCIATED WITH THE NOVEL CORONAVIRUS: CASE OF KUWAIT

2020 ◽  
Author(s):  
Dušana Alshatti Schmidt ◽  
Keyword(s):  
Labor Markets ◽  
International Institutions ◽  
Secondary Data ◽  
The Novel ◽  
Crucial Importance ◽  
Economic Activities ◽  
Long Run ◽  
Novel Coronavirus ◽  
The Impact ◽  
Future Growth

The novel coronavirus (COVID-19) outbreak has already left a mark on the economic activities and labor markets in both advanced and developing countries. While the impacts on the economy vary considerably, the oil dependent economies have been hit harder. Along with the impact of the pandemic disease, they have been contending with a major collapse in oil prices. Kuwait is the world’s seventh largest exporter of oil. Falling oil demand might affect the future growth of Kuwait’s economy in the long run, and if the crisis continues, possibility to provide employment opportunities will be challenged. The aim of this paper is to analyze potential pandemic’s impact on employment in Kuwait in comparison with the financial crisis from 2008-2009, what is of crucial importance for the businesses in the region to understand. The paper is based on a systematic review of the secondary data gathered by international institutions.

scholarly journals A meta-analysis of the impact of COVID-19 on liver dysfunction

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Zeng-hong Wu ◽  
Dong‑liang Yang
Keyword(s):  
Liver Dysfunction ◽  
Meta Analysis ◽  
Elevated Serum ◽  
Clinical Severity ◽  
The Novel ◽  
Significant Difference ◽  
Novel Coronavirus ◽  
The Impact ◽  
Review Manager ◽  
Different Levels

Abstract Background The novel coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is leading to a worldwide pandemic. Except representative manifestation of pneumonia and acute respiratory symptoms, COVID-19 patients have also shown different levels of liver injury or liver dysfunction. The aim of our study was to explore the probable clinical severity and mortality of COVID-19 patients and their liver dysfunction. Method A combination of computer and manual retrieval was used to search in Medline through PubMed, EMBASE and Web of Science. Review Manager 5.3 software was used to examine the heterogeneity among the studies and to calculate the combined effect value (OR, 95CI). Subgroup analysis, sensitivity analysis, and publication bias test were also performed. Results We found a significant connection between liver dysfunction and mortality of COVID-19 patients with a pooled OR of 1.98 (95% CI 1.39–2.82; P = 0.0002). There was a significant association between AST and severity of COVID-19 with a pooled OR of 4.48 (95% CI 3.24–7.21; P < 0.001), and a pooled WMD of 3.35 (95% CI, 2.07 to 4.64; P < 0.001). In addition, there was a significant difference between TBIL and severity of COVID-19, with a pooled OR of 1.91 (95% CI 1.40–2.60; P < 0.001), and with a pooled WMD of 1.18 (95% CI, 0.78 to 1.58; P < 0.001). Conclusion The mortality and severity of COVID-19 patients are significantly associated with liver dysfunction. The non-survivors and severe COVID-19 patients have elevated serum AST levels than the survivors and non-severe COVID-19 patients. The results of this study form a basis for better clinical liver management of patients with COVID-19.

scholarly journals Analysis of Covid-19 Impact on Stock’s Abnormal Return in Sub Cigarette Sector Companies Listed on BEI

2021 ◽  
Vol 03 (01) ◽  
Author(s):  
May Mulyaningsih ◽  
◽  
Sri Hartini Sri Hartini ◽  
Resta Anggraeni ◽  
Denis Putra Mahendra ◽  
...  
Keyword(s):  
Stock Price ◽  
Abnormal Return ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Abnormal Returns ◽  
Secondary Data ◽  
Analysis Data ◽  
Test Analysis ◽  
Significant Difference ◽  
The Impact

Covid-19 is an international pandemic that has paralyzed the national economic sector. This study aims to analyze the impact of Covid-19 on stock’s abnormal return in cigarette sub sector companies listed on the Indonesia Stock Exchange in the January to May 2020 period. The population of this study is 5 cigarette sub sector companies listed on the Indonesia Stock Exchange in 2020. The research sample selection uses census method so as to obtain 5 sample companies with an observation period of 5 months (January to May 2020). Secondary data in this study regarding stock’s abnormal returns with actual return and market return proxies. Data obtained from the company's daily stock price and composite stock price index. Descriptive statistical analysis, data normality test analysis and hypothesis test analysis are processed using SPSS 25. Statistical test with paired sample t test showed no significant difference in abnormal return between the period of 52 days before and when WFH with a significant level of 95% (α = 0.05). From the SPSS test results it is known that the significance value obtained is equal to 0.911. When compared with the significance value that has been set. The value is greater (α> 0.05). So H1 which states there are differences in stock’s abnormal returns before and during the WFH Covid-19 is rejected.

scholarly journals Indo-Pak Comparison and Forecasting of Covid-19 Epidemic: A Secondary Data Analysis

2021 ◽  
Vol 11 (3) ◽  
pp. 184-188
Author(s):  
Osama Ajaz ◽  
Muhammad Irfan ◽  
Ayesha Siddiqa ◽  
Muhammad Amjad
Keyword(s):  
Moving Average ◽  
Arima Model ◽  
Current Trend ◽  
Secondary Data ◽  
World Health ◽  
Data Set ◽  
Related Case ◽  
The World ◽  
Novel Coronavirus ◽  
Health Organization

Background: The world has historically faced and recovered from many pandemics. The most recent global pandemic that the whole world is facing is Novel Coronavirus – Covid-19. The objective of current study is to compare and forecast COVID-19 trends for Pakistan and India. Methods: The data set for this research is obtained from the World Health Organization (WHO) online repository (https://covid19.who.int/). The time period we have considered since the first corona related case and death were observed in both countries. This research paper analyzes corona related cases and deaths in Pakistan and India till 28th February 2021, a total of 578,797 cases in Pakistan and 11,096,731 cases in India has been confirmed including 128,37 and 1,570,51 deaths respectively. The Auto-Regressive Integrated Moving Average (ARIMA) model is used to forecast the variables cumulative cases and deaths. It is simple to use and more predictive than any other regression model. Results: Based on the current trend, the forecast graph reveals that the number of cumulative corona cases could reach 999,767 in Pakistan and 16,481,122 in India up to 31st December 2021. Conclusion: This research found that corona related cumulative cases and deaths are on the rise in both countries. The pandemic situation in India is worse than in Pakistan nevertheless both countries are at high risk. There is a sudden increasing pattern in the number of corona related cases in both countries. Both governments must impose effective policies to control this pandemic.

THE IMPACT OF COVID-19 OUTBREAK ON CHINA SECTORAL INDICES IN SHORT AND MEDIUM RUN

2021 ◽  
Vol 37 (04) ◽  
pp. 409-421
Author(s):  
Muhammad Asif khan ◽  
Muhammad Siddiq ◽  
Asima Siddique
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Chinese Economy ◽  
The Novel ◽  
Short Run ◽  
Us Dollar ◽  
Novel Coronavirus ◽  
Medium Enterprises ◽  
The Impact ◽  
Index Exchange

The novel coronavirus COVID-19 has severe consequences for countries around the globe. The purpose of this study to find out the impact of COVID-19 on China’s sectoral indices in the short and medium run. This research investigates the impact of COVID-19 on stock exchange index, exchange rates, money lending, and oil prices in the Chinese economy in the short and medium run by using secondary data of different sectoral sectors. The outcomes show that COVID-19 has strongly influenced these sectors. The Shanghai stock exchange is showing a decline in transactions due to this pandemic in the short run. But in the medium run, the outcome shown that Shanghai stock exchange has upward trend. The pandemic has reduced exchange rate of Chinese RMB to US dollar in short-run, but in medium run, Chinese RMB has gained appreciation against US dollar. The money lending for medium enterprises is showing downward curve. Result shows that money lending rate has reduced from 3.25% to 3.10% in the short-run and 2.95% in medium run. Overall, pandemic has had significant influence on the Chinese economy and development.

Association and treatment of diabetes in patients affected by Covid-19

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1198-1201
Author(s):  
Syed Yasir Afaque
Keyword(s):  
Diabetes Mellitus ◽  
Prognostic Value ◽  
Heart Diseases ◽  
The Novel ◽  
The World ◽  
Treatment Of Diabetes ◽  
Coronavirus Infection ◽  
Composite Outcomes ◽  
Novel Coronavirus ◽  
The Impact

In December 2019, a unique coronavirus infection, SARS-CoV-2, was first identified in the province of Wuhan in China. Since then, it spread rapidly all over the world and has been responsible for a large number of morbidity and mortality among humans. According to a latest study, Diabetes mellitus, heart diseases, Hypertension etc. are being considered important risk factors for the development of this infection and is also associated with unfavorable outcomes in these patients. There is little evidence concerning the trail back of these patients possibly because of a small number of participants and people who experienced primary composite outcomes (such as admission in the ICU, usage of machine-driven ventilation or even fatality of these patients). Until now, there are no academic findings that have proven independent prognostic value of diabetes on death in the novel Coronavirus patients. However, there are several conjectures linking Diabetes with the impact as well as progression of COVID-19 in these patients. The aim of this review is to acknowledge about the association amongst Diabetes and the novel Coronavirus and the result of the infection in such patients.

scholarly journals SARS-CoV-2/DENV co-infection: a series of cases from the Federal District, Midwestern Brazil

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Heidi Luise Schulte ◽  
José Diego Brito-Sousa ◽  
Marcus Vinicius Guimarães Lacerda ◽  
Luciana Ansaneli Naves ◽  
Eliana Teles de Gois ◽  
...  
Keyword(s):  
Clinical Signs ◽  
Federal District ◽  
Therapeutic Interventions ◽  
Diagnostic Process ◽  
The Novel ◽  
Prevention Measures ◽  
Laboratory Findings ◽  
Novel Coronavirus ◽  
The Impact

Abstract Background Since the novel coronavirus disease outbreak, over 179.7 million people have been infected by SARS-CoV-2 worldwide, including the population living in dengue-endemic regions, particularly Latin America and Southeast Asia, raising concern about the impact of possible co-infections. Methods Thirteen SARS-CoV-2/DENV co-infection cases reported in Midwestern Brazil between April and September of 2020 are described. Information was gathered from hospital medical records regarding the most relevant clinical and laboratory findings, diagnostic process, therapeutic interventions, together with clinician-assessed outcomes and follow-up. Results Of the 13 cases, seven patients presented Acute Undifferentiated Febrile Syndrome and six had pre-existing co-morbidities, such as diabetes, hypertension and hypopituitarism. Two patients were pregnant. The most common symptoms and clinical signs reported at first evaluation were myalgia, fever and dyspnea. In six cases, the initial diagnosis was dengue fever, which delayed the diagnosis of concomitant infections. The most frequently applied therapeutic interventions were antibiotics and analgesics. In total, four patients were hospitalized. None of them were transferred to the intensive care unit or died. Clinical improvement was verified in all patients after a maximum of 21 days. Conclusions The cases reported here highlight the challenges in differential diagnosis and the importance of considering concomitant infections, especially to improve clinical management and possible prevention measures. Failure to consider a SARS-CoV-2/DENV co-infection may impact both individual and community levels, especially in endemic areas.

scholarly journals Pediatric Endocrinology in the Time of COVID-19: Considerations for the Rapid Implementation of Telemedicine and Management of Pediatric Endocrine Conditions

2020 ◽  
Vol 93 (6) ◽  
pp. 343-350
Author(s):  
Molly O. Regelmann ◽  
Rushika Conroy ◽  
Evgenia Gourgari ◽  
Anshu Gupta ◽  
Ines Guttmann-Bauman ◽  
...  
Keyword(s):  
Patient Care ◽  
Care Patient ◽  
The Novel ◽  
Patient Privacy ◽  
Pediatric Endocrinology ◽  
Quality Of Patient Care ◽  
Care Outcomes ◽  
Novel Coronavirus ◽  
The Impact

<b><i>Background:</i></b> Pediatric endocrine practices had to rapidly transition to telemedicine care at the onset of the novel coronavirus disease 2019 (COVID-19) pandemic. For many, it was an abrupt introduction to providing virtual healthcare, with concerns related to quality of patient care, patient privacy, productivity, and compensation, as workflows had to change. <b><i>Summary:</i></b> The review summarizes the common adaptations for telemedicine during the pandemic with respect to the practice of pediatric endocrinology and discusses the benefits and potential barriers to telemedicine. <b><i>Key Messages:</i></b> With adjustments to practice, telemedicine has allowed providers to deliver care to their patients during the COVID-19 pandemic. The broader implementation of telemedicine in pediatric endocrinology practice has the potential for expanding patient access. Research assessing the impact of telemedicine on patient care outcomes in those with pediatric endocrinology conditions will be necessary to justify its continued use beyond the COVID-19 pandemic.

scholarly journals Coronavirus, the great toilet paper panic and civilisation

Thesis Eleven ◽  
2021 ◽  
pp. 072551362110331
Author(s):  
Jon Stratton
Keyword(s):  
General Population ◽  
Federal Government ◽  
Perceived Threat ◽  
The Novel ◽  
Social Breakdown ◽  
Toilet Paper ◽  
Western Civilisation ◽  
Novel Coronavirus ◽  
Key Aspects ◽  
The Impact

Panic buying of toilet rolls in Australia began in early March 2020. This was related to the realisation that the novel coronavirus was spreading across the country. To the general population the impact of the virus was unknown. Gradually the federal government started closing the country’s borders. The panic buying of toilet rolls was not unique to Australia. It happened across all societies that used toilet paper rather than water to clean after defecation and urination. However, research suggests that the panic buying was most extreme in Australia. This article argues that the panic buying was closely linked to everyday notions of Western civilisation. Pedestal toilets and toilet paper are key aspects of civilisation and the fear of the loss of toilet paper is connected to anxiety about social breakdown, the loss of civilisation. This is the fear manifested in the perceived threat posed by the virus.

Sign in / Sign up

Export Citation Format

Share Document