As of June 1, 2022 the total number of death caused by coronavirus (COVID-19) in the United Arab Emirates was 2305. The total number of coronavirus (COVID-19) cases to date in the country was around 947.59 thousand.

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This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, the US, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals). Data sources are WHO, US CDC, China NHC, ECDC, and DXY. The China data is automatically updating at least once per hour, and non China data is updating manually. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.The data is processed from JHU Services and filtered for the Middle East and Africa Region.

United Arab Emirates recorded 2349 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, United Arab Emirates reported 1065607 Coronavirus Cases. This dataset includes a chart with historical data for the United Arab Emirates Coronavirus Deaths.

This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, the US, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals). Data sources are WHO, US CDC, China NHC, ECDC, and DXY. The China data is automatically updating at least once per hour, and non China data is updating manually. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly infectious virus with overwhelming demand on healthcare systems, which require advanced predictive analytics to strategize COVID-19 management in a more effective and efficient manner. We analyzed clinical data of 2017 COVID-19 cases reported in the Dubai health authority and developed predictive models to predict the patient's length of hospital stay and risk of death. A decision tree (DT) model to predict COVID-19 length of stay was developed based on patient clinical information. The model showed very good performance with a coefficient of determination R2 of 49.8% and a median absolute deviation of 2.85 days. Furthermore, another DT-based model was constructed to predict COVID-19 risk of death. The model showed excellent performance with sensitivity and specificity of 96.5 and 87.8%, respectively, and overall prediction accuracy of 96%. Further validation using unsupervised learning methods showed similar separation patterns, and a receiver operator characteristic approach suggested stable and robust DT model performance. The results show that a high risk of death of 78.2% is indicated for intubated COVID-19 patients who have not used anticoagulant medications. Fortunately, intubated patients who are using anticoagulant and dexamethasone medications with an international normalized ratio of

Introduction: The coronavirus disease 2019 (COVID-19) pandemic continues to challenge healthcare services worldwide. Healthcare workers (HCWs) are key to the continued effort to overcome the pandemic. This study aims to evaluate the knowledge, attitude, and practices of HCWs toward COVID-19 in primary health centers in Dubai.Methods: This cross-sectional study was conducted at four primary health centers in Dubai, including two fever clinics, from July 5th to July 11th, 2020. A self-administered online questionnaire was distributed to nurses and physicians working in these centers, which evaluated their knowledge, attitude, and practices regarding COVID-19 and their associations with the participants' demographic factors. A total score of 80% and above constituted a level of sufficiency in each section. Additionally, Mann-Whitney U test and multivariable logistic regression were used to analyze the variables.Results: A total of 176 HCWs completed the questionnaire, with a 91.2% (176/193) response rate. They were predominantly female (158/176, 90.0%), nurses (128/176, 72.7%), and non-Emiratis (150/176, 85.2%). While official health organizations were the primary source of information for 91.5% (161/176) of participants, only 38.1% (67/176) reported using scientific journals as one of their sources. Overall, 57.4% (101/176) of participants had a sufficient overall level of knowledge. Moreover, knowledge regarding signs, symptoms, and at-risk groups was generally satisfactory. However, knowledge about the virus, testing, transmission, and the isolation of contacts with positive cases was identified correctly by less than two-thirds of the participants. Half of the participants (89/176, 50.6%) expressed their concern about personally acquiring the infection, 112/176 (63.6%) worried about their relatives acquiring it, and 72/176 (40.9%) expressed some hesitancy to take the COVID-19 vaccine once available. Overall, only 58/176 (33.0%) HCWs had a sufficient overall positive attitude score. Nurses, compared to physicians, and non-Emiratis compared to Emiratis' HCWs, had statistically higher mean scores for attitude (U = 2,212, p < 0.01; and U = 1164.5, p < 0.01, respectively). The majority of participants (156/176, 88.6%) reported acceptable infection control practices.Conclusion: Given the gaps identified in the knowledge and attitude, we recommend further training to improve the skills of primary HCWs, with encouragement to practice evidence-based medicine. Additionally, further exploration regarding vaccine hesitancy is warranted.

There was an annual decrease of about ** percent in the government budget of the emirate of Dubai in the United Arab Emirates (UAE) following the COVID-19 pandemic in 2019. The first recorded COVID-19 case in the UAE was in ****************.

BackgroundData on the epidemiological characteristics and clinical features of COVID-19 in patients of different ages and sex are limited. Existing studies have mainly focused on the pediatric and elderly population.ObjectiveAssess whether age and sex interact with other risk factors to influence the severity of SARS-CoV-2 infection.Material and MethodsThe study sample included all consecutive patients who satisfied the inclusion criteria and who were treated from 24 February to 1 July 2020 in Dubai Mediclinic Parkview (560 cases) and Al Ain Hospital (605 cases), United Arab Emirates. We compared disease severity estimated from the radiological findings among patients of different age groups and sex. To analyze factors associated with an increased risk of severe disease, we conducted uni- and multivariate regression analyses. Specifically, age, sex, laboratory findings, and personal risk factors were used to predict moderate and severe COVID-19 with conventional machine learning methods.ResultsNeed for O2 supplementation was positively correlated with age. Intensive care was required more often for men of all ages (p < 0.01). Males were more likely to have at least moderate disease severity (p = 0.0083). These findings were aligned with the results of biochemical findings and suggest a direct correlation between older age and male sex with a severe course of the disease. In young males (18–39 years), the percentage of the lung parenchyma covered with consolidation and the density characteristics of lesions were higher than those of other age groups; however, there was no marked sex difference in middle-aged (40–64 years) and older adults (≥65 years). From the univariate analysis, the risk of the non-mild COVID-19 was significantly higher (p < 0.05) in midlife adults and older adults compared to young adults. The multivariate analysis provided similar findings.ConclusionAge and sex were important predictors of disease severity in the set of data typically collected on admission. Sexual dissimilarities reduced with age. Age disparities were more pronounced if studied with the clinical markers of disease severity than with the radiological markers. The impact of sex on the clinical markers was more evident than that of age in our study.

Background and Objectives: During the pandemic of COVID-19, additional blood donor eligibility criteria have been added to ensure safety of donors and donations. The aim of this study is to estimate the seroprevalence of SARS-CoV-2 antibody in eligible donors and to study the demography and lifestyle of asymptomatic cases. Materials and Methods: One thousand four hundred eighteen eligible donors were enrolled in this study in the Dubai Blood Donation Center from August to December 2020. Blood samples were tested for SARS-CoV-2 antibody. Donors’ demographic characteristics and lifestyle were studied further. The χ2 test was used to analyze the data association. Results: 88.4% of the studied group were males, 85% were from age 17 to 45 years, and 53% were regular donors. The seroprevalence of SARS-CoV-2 antibody was 13.5% and significantly related to gender, frequency of donation, collection site, type of donation, and more frequent when donors shared transport and accommodation. Blood group and age had no significant association. 5.5% were found to have cough/fever or a history of contact with positive COVID-19 patients. Conclusions: The seroprevalence of SARS-CoV-2 antibody was 13.5% among eligible blood donors, and hence the current eligibility criteria allow asymptomatic COVID-19 patients to donate blood. The seroprevalence was seen more in first time donors, suggesting that regular blood donors are safer. Additional risk factors related to lifestyle can be identified to ensure safety of transfusion during COVID-19 pandemic.

The real per capita consumer spending on alcohol and tobacco in the United Arab Emirates was forecast to continuously increase between 2024 and 2029 by in total 11.3 U.S. dollars (+4.27 percent). According to this forecast, in 2029, the real per capita consumer spending will have increased for the fourth consecutive year to 275.71 U.S. dollars. Consumer spending, in this case alcohol- and tobacco-related spending per capita, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 02. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real per capita consumer spending on alcohol and tobacco in countries like Iran and Jordan.

The real total consumer spending on clothing and footwear in the United Arab Emirates was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion U.S. dollars (+12.49 percent). After the ninth consecutive increasing year, the real fashion-related spending is estimated to reach 11.5 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case footwear-related spending, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 03. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending on clothing and footwear in countries like Israel and Iran.

The real total consumer spending on food and non-alcoholic beverages in the United Arab Emirates was forecast to continuously decrease between 2024 and 2029 by in total 9.8 billion U.S. dollars (-17.28 percent). According to this forecast, in 2029, the real food-related spending will have decreased for the fifth consecutive year to 46.9 billion U.S. dollars. Consumer spending, in this case food-related spending, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 01. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending on food and non-alcoholic beverages in countries like Iran and Lebanon.

The real per capita consumer spending on clothing and footwear in the United Arab Emirates was forecast to continuously increase between 2024 and 2029 by in total 26.9 U.S. dollars (+2.9 percent). According to this forecast, in 2029, the real fashion-related per capita spending will have increased for the fourth consecutive year to 955.86 U.S. dollars. Consumer spending, in this case per capita spending concerning clothing and footwear, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 03. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real per capita consumer spending on clothing and footwear in countries like Iraq and Qatar.

The total number of passengers traveling through Dubai International Airport (DXB) peaked in 2018, exceeding ** million. Although passenger traffic experienced a significant decline during the COVID-19 lockdown period, it has rebounded strongly in recent years, with the past two years recording the most substantial consecutive growth. Dubai’s strategic position The UAE leverages its location between Europe, Africa, and Asia to serve as a global transit hub. Dubai International Airport, the world’s busiest airport in 2023, is home to Emirates Airlines, operator of the largest Airbus A380 fleet, and Flydubai, a key budget carrier. Dubai’s second airport, Dubai World Central (DWC), is undergoing a ** billion U.S. dollar expansion to become the world’s largest, aiming to accommodate approximately *** million passengers annually, nearly ***** times the capacity of Dubai International Airport. Eventually, DXB operations will transfer to DWC. Tourism a key pillar of the economy Tourism plays a significant role in the UAE contributing billions of dollars to its GDP each year. In 2023, the UAE led the MENA region in tourism receipts. Dubai and Abu Dhabi attract most visitors, fueling growth in luxury hospitality. To boost tourism, the UAE introduced the Abu Dhabi Pass, launched by Etihad Airways and Abu Dhabi’s Department of Culture and Tourism. It offers a free eSIM, public transport access, and complimentary attraction entry, with extra services via a digital platform. As the sector expands, demand for a supporting skilled workforce is expected to rise.

The real per capita consumer spending on transportation in the United Arab Emirates was forecast to continuously increase between 2024 and 2029 by in total 211.5 U.S. dollars (+13.3 percent). After the fourth consecutive increasing year, the real transportation-related per capita spending is estimated to reach 1,801.55 U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case transport-related spending per capita, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 07. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real per capita consumer spending on transportation in countries like Kuwait and Iraq.

The total consumer spending on transportation in the United Arab Emirates was forecast to continuously increase between 2024 and 2029 by in total 7.8 billion U.S. dollars (+38.41 percent). After the ninth consecutive increasing year, the transportation-related spending is estimated to reach 28 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case transportation-related spending, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 07. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the total consumer spending on transportation in countries like Lebanon and Israel.