The coronavirus pandemic has caused massive shocks to the global economy and dampened previously projected growth scenarios worldwide. According to a recent study, clothing and footwear retail was predicted to suffer a **** percent decline annually in 2020. However, with the diminishing of the impact of the pandemic, in 2021 the sector is forecast to grow by **** percent. In total terms, the retail industry is expected to grow by *** percent, as opposed to the *** percent decline in 2020. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

The economy of the United Kingdom is expected to fall by ** percent in the second quarter of 2020, following the Coronavirus outbreak and closure of several businesses. According to the forecast the economy will bounce back in the third quarter of 2020, based on a scenario where the lockdown lasts for three months, with social distancing gradually phased out over a subsequent three-month period.

According to a 2021 forecast, total tourism expenditure in England, including the spending of international and domestic overnight travelers, is expected to decrease by over ** billion British pounds in the second half of 2021 over the same period of 2019. As predicted, London would record the highest drop, with total tourism expenditure declining from **** million British pounds to around **** billion British pounds over the period considered.

In this report, we look at the big themes for 2021 across the automotive industry, identifying the winning companies and the ones to watch for each theme. For 2021 the 10 major themes are: Batteries; Electric Vehicles (EVs); Internet of Things; Autonomous Vehicles (AVs); China Impact; India Impact; Sustainability; Transport-as-a-Service (TaaS); COVID-19, and Overcapacity. Each of these are prominent themes for the automotive sector and feature as determining factors for our scorecards covering the sector. Read More

This report contains a summary of the analyst consensus forecasts available in the GlobalData Pharma Intelligence Center Drug Sales and Analyst Consensus Database for the Indication COVID-19. Currently there are 37 drugs indicated for COVID-19 which have analyst consensus forecasts available. Read More

Mathematical and statistical models can be used to make predictions of how epidemics may progress in the near future and form a central part of outbreak mitigation and control. Renewal equation based models allow inference of epidemiological parameters from historical data and forecast future epidemic dynamics without requiring complex mechanistic assumptions. However, these models typically ignore interaction between age groups, partly due to challenges in parameterising a time varying interaction matrix. Social contact data collected regularly during the COVID-19 epidemic provide a means to inform interaction between age groups in real-time. We developed an age-specific forecasting framework and applied it to two age-stratified time-series: incidence of SARS-CoV-2 infection, estimated from a national infection and antibody prevalence survey; and, reported cases according to the UK national COVID-19 dashboard. Jointly fitting our model to social contact data from the CoMix study, we inferred a time-varying next generation matrix which we used to project infections and cases in the four weeks following each of 29 forecast dates between October 2020 and November 2021. We evaluated the forecasts using proper scoring rules and compared performance with three other models with alternative data and specifications alongside two naive baseline models. Overall, incorporating age interaction improved forecasts of infections and the CoMix-data-informed model was the best performing model at time horizons between two and four weeks. However, this was not true when forecasting cases. We found that age group interaction was most important for predicting cases in children and older adults. The contact-data-informed models performed best during the winter months of 2020–2021, but performed comparatively poorly in other periods. We highlight challenges regarding the incorporation of contact data in forecasting and offer proposals as to how to extend and adapt our approach, which may lead to more successful forecasts in future.

This publication is an update and extension to the Excel model containing the patient-based sales forecast for COVID-19 vaccines, which was previously covered in Coronavirus Disease 2019 (COVID 19) Vaccines: Opportunity Assessment and Forecast to 2026, published in June 2021. Read More

As of April 2021, 77 percent of mobile gamers from the United States who spent more time on mobile games since the COVID-19 outbreak reported that they were very or somewhat likely going to continue playing mobile games at the same rate once the COVID-19 pandemic has ended. In comparison, 68 percent of mobile gamers from Great Britain reported the same thing.

Performance of the QCOVID3 algorithm to predict risk of COVID-19 related death and hospitalisation for the total cohort and by age, sex, and vaccination dose (95% CI).

For 2021, we provide predictions for the following top 20 themes in the power industry: COVID-19, technology diversification, Artificial Intelligence (AI), sustainability, big data, hydrogen, electric vehicles, energy storage, renewable energy, Internet of Things (IoT), 3D printing, blockchain, drones, predictive maintenance, cloud computing, mergers and acquisitions, microgrids, virtual and augmented reality, digitalization, and emerging economies. Read More

Home and Garden Retailing in United Kingdom (UK) – Sector Overview, Market Size and Forecast to 2025 provides both the historic and forecast market data of total retail sales, and the home market in United Kingdom (UK). It illustrates the data with charts, graphs and tables summarizing the value, with category details in home sector. The forecasts include the impact of COVID-19 on growth. The report also reveals major retailers share in home sector with their price and market positioning in 2020. Read More

BackgroundThere is an urgent need to better understand the factors that predict mental wellbeing in vocationally active adults during globally turbulent times.AimTo explore the relationship between psychological detachment from work (postulated as a key recovery activity from work) in the first national COVID-19 lockdown with health, wellbeing, and life satisfaction of working age-adults one year later, within the context of a global pandemic.MethodsWellbeing of the Workforce (WoW) was a prospective longitudinal cohort study, with two waves of data collection (Time 1, April-June 2020: T1 n = 337; Time 2, March-April 2021: T2 = 169) corresponding with the first and third national COVID-19 lockdowns in the UK. Participants were >18 years, who were employed or self-employed and working in the UK. Descriptive and parametric (t-tests and linear regression) and nonparametric (chi square tests) inferential statistics were employed.ResultsRisk for major depression (T1: 20.0% to T2: 29.0%, p = .002), poor general health (T1: 4.7% to T2: 0%, p = .002) and poor life satisfaction (T1: 15.4% to T2: 25.4%, p = .002) worsened over time, moderate-to-severe anxiety remained stable (T1: 26.1% to T2: 30.2%, p = .15). Low psychological detachment from work was more prevalent in the first wave (T1: 21.4% and T2: 16.0%), with a moderate improvement observed from T1 to T2 (t (129) = -7.09, p < .001). No differences were observed with work status (employed/self-employed), except for self-employed workers being more likely to report poor general health at T1 (16.1%, p = .002). Better psychological wellbeing, lower anxiety and higher life satisfaction at T2 were observed in those who reported better psychological detachment from work at T1 (β = .21, p = .01; β = -.43, p < .001; β = .32, p = .003, respectively), and in those who improved in this recovery activity from T1 to T2 (β = .36, p < .001; β = -.27, p < .001; β = .27, p = .008, respectively), controlling for age, gender and ethnicity.ConclusionThe ability to psychologically detach from work during the first pandemic lockdown, and improvement in this recovery activity over time, predicted better mental wellbeing and quality of life in vocationally active adults after one year of a global crisis, irrespective of work status. Interventions to encourage workers to psychologically detach from work may help to support employee wellbeing at all times, not only in the extreme circumstances of pandemics and economic uncertainty.

Chile Ready Meals (Prepared Meals) Market Size, Growth and Forecast Analytics, 2021-2025 is a broad level market review of Ready Meals market in Chile. Read More

United States (USA) Cooked Meats – Counter (Meat) Market Size, Growth and Forecast Analytics, 2021-2025 is a broad level market review of Cooked Meats – Counter market in United States of America. Read More

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Argentina Ready Meals (Prepared Meals) Market Size, Growth and Forecast Analytics, 2021-2025 is a broad level market review of Ready Meals market in Argentina. Read More

Canada Meal Kits (Prepared Meals) Market Size, Growth and Forecast Analytics, 2021-2025 is a broad level market review of Meal Kits market in Canada. Read More