As of May 2020, 20 percent of German consumers used the food delivery platform Lieferando. 6 percent used Amazon Fresh, Amazon Pantry or Amazon in general. The figures are based on a survey conducted during May 25-31, 2020 in Germany, the United Kingdom and the U.S.

The outbreak of the COVID-19 pandemic has prompted the German government and the 16 German federal states to announce a variety of public health measures in order to suppress the spread of the coronavirus. These non-pharmaceutical measures intended to curb transmission rates by increasing social distancing (i.e., diminishing interpersonal contacts) which restricts a range of individual behaviors. These measures span moderate recommendations such as physical distancing, up to the closures of shops and bans of gatherings and demonstrations. The implementation of these measures are not only a research goal for themselves but have implications for behavioral research conducted in this time (e.g., in form of potential confounder biases). Hence, longitudinal data that represent the measures can be a fruitful data source. The presented data set contains data on 14 governmental measures across the 16 German federal states. In comparison to existing datasets, the data set at hand is a fine-grained daily time series tracking the effective calendar date, introduction, extension, or phase-out of each respective measure. Based on self-regulation theory, measures were coded whether they did not restrict, partially restricted or fully restricted the respective behavioral pattern. The time frame comprises March 08, 2020 until May 15, 2020. The project is an open-source, ongoing project with planned continued updates in regular (approximately monthly) intervals. New variables include restrictions on travel and gastronomy. The variable trvl (travel) comprises the following categories: fully restricted (=2) reflecting a potential general ban to travel within Germany (except for sound reasons like health or business); partially restricted (=1): travels are allowed but may be restricted through prohibition of accommodation or entry ban for certain groups (e.g. people from risk areas); free (=0): no travel and accommodation restrictions in place). The variable gastr (gastronomy) comprises: fully restricted (=2): closure of restaurants or bars; partially restricted (=1): Only take-away or food delivery services are allowed; free (=0): restaurants are allowed to open without restrictions). Further, the variables msk (recommendations to wear a mask) and zoo (restrictions of zoo visits) have been adjusted.:

Almost 41 percent of Germans already installed or would voluntarily install the Luca app, Germany's contract tracing app, on their smartphones. The app is a part of German measures to trace those exposed to confirmed coronavirus (COVID-19) cases, as lockdowns are gradually eased nationwide, therefore leading to more activity among the population. Users input their personal and contact information into the app after installation and generate a personal QR code. This QR code may subsequently be scanned wherever required, for example in a restaurant or shop (provided that the establishment cooperates with the Luca app), instead of information being filled in individually at different locations. The legal framework allows local health authorities to access the data in the event of an infection and therefore inform those who need to undergo testing and quarantine due to the exposure. The app may also be used privately among family and friends as a calendar to record previous contacts and meetings in the event of a coronavirus (COVID-19) infection.

In 2023, the average movie theater ticket price was **** euros. Movie theater ticket prices in Germany have only been going up in the last decade, now exceeding nine euros for the first time. The coronavirus (COVID-19) lockdowns in 2020 and 2021 hit the cinema industry very hard. Just the ticket Movie theater visits per person have been decreasing in recent years when compared to the early 2000s. The rise of video streaming services has established serious competition. When faced with the option of buying an increasingly expensive movie ticket or perhaps waiting a few months before the film is available to stream online from the comfort of home. There’s a possibility that a viewer will choose the latter. Add the influence of inflation, and it’s possible to predict future trends in movie going. Ticket prices will continue going up to balance out fluctuating visitor numbers, as well as the provision of food and snacks to keep them coming. On average, people in Germany go to the cinema just under once a year. However, before the pandemic, people were going about one and a half times a year. Part two The number of movie theaters in Germany suffered a small dip in numbers from around 2011 to 2014, but in recent years the figures have stabilized. Cinema revenue also suffered a large hit during the pandemic, and 2022 was the first year in which figures saw significant growth. It seems that figures are finally beginning to return to pre-pandemic levels. However, the threat of streaming services could negatively impact

Introduction: The COVID-19 pandemic necessitated worldwide lockdowns in 2020 and 2021, with restrictions on physical activity and changes in eating habits. Aims: To investigate temporal trends in Body Mass Index (BMI) and BMI Standard Deviation Score (SDS) inSDS) in three international T1D registries between 2018-2021. Methods: Data were extracted from DPV (Germany/Austria/Luxembourg/Switzerland), T1D Exchange Quality Improvement Collaborative (T1DX-QI, US), and Australasian Diabetes Data Network (ADDN, Australia/New Zealand). The period affected by the COVID-19 pandemic was defined as March to December 2020 and March to December 2021 and compared with the respective 9-month periods in 2018 and 2019. Estimated mean BMI (adults ≥ 19 years) and WHO BMI SDS (children and adolescents 54 to < 19 years) were calculated, adjusted for sex, age, HbA1c and diabetes duration. Adjusted mean proportions overweight /obese (BMI ≥ 25 in adults or BMI SDS > 1.282 in children and adolescents 54 to < 19 years) and obese (BMI ≥30kg/m2 or BMI SDS > 2 in children and adolescents 5 to