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 25.8 percent decline annually in 2020. However, with the diminishing of the impact of the pandemic, in 2021 the sector is forecast to grow by 28.7 percent. In total terms, the retail industry is expected to grow by 3.9 percent, as opposed to the 3.6 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 35 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 10 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 10.5 million British pounds to around four billion British pounds over the period considered.

Just prior to the return of students to schools in the United Kingdom, approximately 71 percent of British people thought that pupils returning would cause a spike in COVID-19 cases. Looking further ahead towards the end of the year, less than half thought that exams in 2022 would run as normal, with 43 percent of people believing that more school closures would occur due to the pandemic.

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According to a recent forecast on retail sales growth in the United Kingdom (UK) in the wake of the coronavirus (COVID-19) crisis, in 2021 online sales is forecast to constitute 27.1 of all retail sales. For food retail, in 2021 an average of 1.6 percent decline is projected both in online and offline retail, whereas non-food sales in physical stores are predicted to grow by 15.1 percent.

BackgroundPredicting the future UK COVID-19 epidemic provides a baseline of a vaccine-only mitigation policy from which to judge the effects of additional public health interventions. A previous 12-month prediction of the size of the epidemic to October 2022 underestimated its sequelae by a fifth. This analysis seeks to explain the reasons for the underestimation before offering new long-term predictions.MethodsA Dynamic Causal Model was used to identify changes in COVID-19 transmissibility and the public's behavioral response in the 12-months to October 2022. The model was then used to predict the future trends in infections, long-COVID, hospital admissions and deaths over 12-months to October 2023.FindingsThe model estimated that the secondary attack rate increased from 0.4 to 0.5, the latent period shortened from 2.7 to 2.6 and the incubation period shortened from 2.0 to 1.95 days between October 2021 and October 2022. During this time the model also estimated that antibody immunity waned from 177 to 160 days and T-cell immunity from 205 to 180 days. This increase in transmissibility was associated with a reduction in pathogenicity with the proportion of infections developing acute respiratory distress syndrome falling for 6–2% in the same twelve-month period. Despite the wave of infections, the public response was to increase the tendency to expose themselves to a high-risk environment (e.g., leaving home) each day from 33–58% in the same period.The predictions for October 2023 indicate a wave of infections three times larger this coming year than last year with significant health and economic consequences such as 120,000 additional COVID-19 related deaths, 800,000 additional hospital admissions and 3.5 million people suffering acute-post-COVID-19 syndrome lasting more than 12 weeks.InterpretationThe increase in transmissibility together with the public's response provide plausible explanations for why the model underestimated the 12-month predictions to October 2022. The 2023 projection could well-underestimate the predicted substantial next wave of COVID-19 infection. Vaccination alone will not control the epidemic. The UK COVID-19 epidemic is not over. The results call for investment in precautionary public health interventions.

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

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Healthcare is a topic of significant concern within the academic and business sectors. The COVID-19 pandemic has had a considerable effect on the health of people worldwide. The rapid increase in cases adversely affects a nation's economy, public health, and residents' social and personal well-being. Improving the precision of COVID-19 infection forecasts can aid in making informed decisions regarding interventions, given the pandemic's harmful impact on numerous aspects of human life, such as health and the economy. This study aims to predict the number of confirmed COVID-19 cases in Saudi Arabia using Bayesian optimization (BOA) and deep learning (DL) methods. Two methods were assessed for their efficacy in predicting the occurrence of positive cases of COVID-19. The research employed data from confirmed COVID-19 cases in Saudi Arabia (SA), the United Kingdom (UK), and Tunisia (TU) from 2020 to 2021. The findings from the BOA model indicate that accurately predicting the number of COVID-19 positive cases is difficult due to the BOA projections needing to align with the assumptions. Thus, a DL approach was utilized to enhance the precision of COVID-19 positive case prediction in South Africa. The DQN model performed better than the BOA model when assessing RMSE and MAPE values. The model operates on a local server infrastructure, where the trained policy is transmitted solely to DQN. DQN formulated a reward function to amplify the efficiency of the DQN algorithm. By examining the rate of change and duration of sleep in the test data, this function can enhance the DQN model's training. Based on simulation findings, it can decrease the DQN work cycle by roughly 28% and diminish data overhead by more than 50% on average.

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In 2023 the gross domestic product (GDP) of the United Kingdom grew by 0.1 percent and is expected to grow by 1.1 percent in 2024 and two percent in 2025. Growth is expected to slow down to 1.8 percent in 2026, and then 1.5 percent in 2027 and 2028. The sudden emergence of COVID-19 in 2020 and subsequent closure of large parts of the economy were the cause of the huge 9.4 percent contraction in 2020, with the economy recovering somewhat in 2021, when the economy grew by 7.6 percent. UK slips into recession in late 2023 In the last two quarters of 2023, the UK economy shrank by 0.1 percent in Q3 and by 0.3 percent in Q4, plunging the UK into recession for the first time since the COVID-19 pandemic. Even before this latest recession, however, the UK economy has been struggling with weak growth. In the eight quarters between 2022 and 2023, the economy grew in just half of them, falling in three, and stagnating in one. As the UK gears up for a likely general election in 2024, the economy has consistently been seen as one of the most important issues to people in Britain, ahead of health, immigration and the environment. As for which political party would handle the economy better, the ruling-Conservative party have trailed the Labour Party on this issue in polls since October 2022. High inflation persisting longer than expected One of the main factors that explains the UK's economic woes recently is rising prices. UK inflation accelerated sharply from late 2021 onwards, and reached a peak of 11.1 percent in October 2022. Unfortunately for UK residents, wage growth has only recently caught up with inflation, with wages in real terms falling throughout for twenty months between November 2021 and June 2023. By January 2024, inflation had fallen to the more modest rate of four percent, but getting inflation down to such levels came at a price. The Bank of England raised interest rates throughout 2022 and 2023, which certainly played a part in the UK's weak economic performance during that time.

The Europe COVID-19 diagnostics market is being aided by the growing cases of COVID-19 infections in the UK and France, which have performed around 112 Millionand 58 million tests, respectively, for COVID-19 as of March 2021.

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The wet wipe market share is expected to increase by USD 5.58 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 7.38%.

This wet wipe market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers wet wipe market segmentation by application (personal care, household, and ICI) and geography (Europe, North America, APAC, South America, and MEA). The wet wipe market report also offers information on several market vendors, including 3M Co., Essity Aktiebolag (publ), Henkel AG and Co. KGaA, Johnson and Johnson Inc., Kimberly Clark Corp, S. C. Johnson and Son Inc., The Clorox Co., The Procter and Gamble Co., Unicharm Corp., and Unilever Group among others.

What will the Wet Wipe Market Size be During the Forecast Period?

Download the Free Report Sample to Unlock the Wet Wipe Market Size for the Forecast Period and Other Important Statistics

Wet Wipe Market: Key Drivers, Trends, and Challenges

The rising concern over hygiene is notably driving the wet wipe market growth, although factors such as increasing environmental concerns may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the wet wipe industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key Wet Wipe Market Driver

One of the key factors driving growth in the wet wipes market size is the rising concern over hygiene. There has been growing health and hygiene-related awareness among consumers globally in recent years due to the COVID-19 pandemic. The usage of wet wipes in households for cleaning surfaces has increased since 2020, owing to the pandemic. Consumers use products such as alcohol-based wet wipes to clean surfaces for effective germ-killing and protection, which to a certain extent helps control the spread of COVID-19. The application of wet wipes has been steadily increasing since 2020 in hospitals and healthcare centers for decontamination of medical devices and surfaces. Several vendors have launched wet wipes that help disinfect and clean commonly touched hard, non-porous surfaces. The increased usage of wet wipes due to hygiene concerns will contribute to the growth of the global wet wipe market.

Key Wet Wipe Market Trend

Omnichannel retailing is another factor supporting the wet wipe market share growth. The competition in the global wet wipe market is extremely high owing to the presence of established brands in the market such as 3M Co., Essity Aktiebolag (publ), Henkel AG and Co. KGaA, Johnson and Johnson Inc. To increase their product visibility and revenue, brands have taken to marketing their products online through their own web portals, third-party websites, and offline distribution channels such as physical stores. Omnichannel retailing is a growing trend among companies across different industries, and the trend has been followed in the global wet wipe market as well. The trend of omnichannel retailing will help the global wet wipe market grow during the forecast period.

Key Wet Wipe Market Challenge

The increasing environmental concerns will be a major challenge for the wet wipe market during the forecast period. Wet wipes are composed of fabric like cotton blended with plastic resins, including polyester or polypropylene that are not biodegradable. The use of wet wipes triggers increasing plastic consumption and environmental pollution. Additionally, consumers tend to flush out the wet wipes as these are marketed as ‘flushable’ by brands manufacturing wet wipes. Commercially available non-flushable wipes are manufactured from either polyethylene terephthalate (PET), polypropylene (PP), or a combination of PET and cellulose, which are not biodegradable. 50% of brands that labeled and marketed their wet wipes as flushable used a mixture of PET and cellulose to manufacture their wet wipes leading to environmental pollution. The alternatives to plastic-based wet wipes include bio-based and petroleum-based wet wipes. The comprehensive environmental impacts of bio-based wet wipes throughout the life cycle are 38% lower than that of petroleum-based wet wipes.

This wet wipes market research report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

Parent Market Analysis

Technavio categorizes the global wet wipe market under the global personal products market. Our research report has extensively covered external factors influencing the parent market growth potential in the coming years,

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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.

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