As with the first three regulations imposed by the National Committee for Special Emergency Situations, the next measures taken by the Romanian authorities against the spread of coronavirus (COVID-19) in Romania benefited from a high percentage of approval from the population and were considered to be qualitative. The only measure that was received with a slight disagreement involved helping the Romanian citizens who returned to Romania from abroad. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Question Paper Solutions of chapter Measures of Dispersion of Fundamentals of Statistics, 1st Semester , Bachelor of Business Administration

This statistic shows the opinions of the French on measures able to take control over the spread of coronavirus in France as of February 9, 2020. According to Ipsos, 87 percent of the respondents supported the mandatory screening of anyone travelling to and from infected countries as a measure to mitigate the spread of the coronavirus.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Graph and download economic data for Leading Indicators OECD: Component Series: Interest Rate Spread: Original Series for United States (USALOCOSIORSTM) from Jan 1960 to Dec 2023 about leading indicator, origination, and spread.

The perceived risk of getting infected with the coronavirus, officially known as SARS-CoV-2, has been increasing in Mexico as the outbreak develops. On February 28, 2020, Mexico confirmed the first cases of COVID-19 in the country. According to a survey, as of the third week of March, 2020, 91.1 percent of respondents considered that cancelling concerts, festivals and similar events was necessary to contain the spread of the disease. Cancelling sports events, closing schools, and forbidding personal celebrations such as weddings were also considered as appropriate measures to mitigate transmission by more than 80 percent of respondents.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Graph and download economic data for Leading Indicators OECD: Component Series: Interest Rate Spread: Normalised for Germany (DEULOCOSINOSTSAM) from Jan 1960 to Dec 2023 about leading indicator, spread, and Germany.

Data from simulations of COVID-19 spread in Sweden under different public-health measures. Results from individual-based models.

The guidance identifies core personal and community-based public health measures to mitigate the transmission of coronavirus disease (COVID-19).

In Great Briatin, 88 percent of survey respondents believe that social distancing would be highly effective in reducing the spread of coronavirus (COVID-19). Additionally, the methods: closing down public places; isolating older people; and asking people to stay home as much as possible all recieved 86 percent of responses believing these methods to be effective in containing the spread of coronavirus. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

Definition of the five scores used in the analysis.

Since February 25, 2020 Switzerland has been affected by COVID-19. Modelling predictions show that this pandemic will not stop on its own and that stringent migitation strategies are needed. Switzerland has implemented a series of measures both at cantonal and federal level. On March 16, 2020 the Federal Council of Switzerland declared “extraordinary situation” and introduced a series of stringent measures. This includes the closure of schools, restaurants, bars, businesses with close contact (e.g. hair dressers), entertainment or leisure facilities. Incoming cross-border mobility from specific countries is also restricted to Swiss citizens, residency holders or work commuters. As of March 20, 2020 mass gatherings of more than five people are also banned. Already in early March various cantons had started to ban events of various sizes and have restricted or banned access to short- and long-term care facilites and day care centers.

The aim of this project is to collect and categorize these control measures implemented and provide a continously updated data set, which can be used for modelling or visualization purposes. Please use the newest version available.

We collect the date/duration and level of the most important measures taken in response to COVID-19 from official cantonal and federal press releases. A description of the measures, the levels as well as the newest version of data dataset can be found here.

Abstract

This dataset was collected as a complement to UN Global Pulse, UNHCR, Durham University, WHO and OCHA's study on simulation models to help with COVID-19 planning in world’s largest refugee settlement. The spread of infectious diseases such as COVID-19 presents many challenges to healthcare systems and infrastructures across the world, exacerbating inequalities and leaving the world’s most vulnerable populations most affected. Given their density and available infrastructure, refugee and internally displaced person (IDP) settlements can be particularly susceptible to disease spread. This survey collected data on individual's contact, interactions and time spent in public zones of refugees' camps in Cox's Bazar, in order to fill spreading matrices to inform this simulation of spread.

Geographic coverage

Cox's Bazar

Analysis unit

Individuals

Universe

All participants of Community Based Protection Groups

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample frame was obtained from lists of Community-Based Protection regular working groups. Each camp group was stratified by gender, age and disabilities, and members of each camp were randomly selected from the working groups of 20 camps in Cox's Bazar.

Mode of data collection

Telephone interview

According to a survey performed in the United Kingdom (UK) in March 2020, 24 percent of respondents stated their workplace was offering sanitization products eg. hand sanitizer, wipes to help protect employees against coronavirus (COVID-19), while an additional 19 percent reported receiving regular communication about the virus at their workplace. However, 21 percent of respondents mention that nothing had changed in their workplace policy to manage the spread of coronavirus and business was running as usual. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Graph and download economic data for Leading Indicators OECD: Component Series: Interest Rate Spread: Normalised for Japan (JPNLOCOSINOSTSAM) from Jan 1973 to Nov 2023 about leading indicator, spread, and Japan.

United States - ICE BofA US Corporate Index Option-Adjusted Spread was 0.91% in March of 2025, according to the United States Federal Reserve. Historically, United States - ICE BofA US Corporate Index Option-Adjusted Spread reached a record high of 6.56 in December of 2008 and a record low of 0.53 in October of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - ICE BofA US Corporate Index Option-Adjusted Spread - last updated from the United States Federal Reserve on March of 2025.

United States - ICE BofA 7-10 Year US Corporate Index Option-Adjusted Spread was 1.10% in March of 2025, according to the United States Federal Reserve. Historically, United States - ICE BofA 7-10 Year US Corporate Index Option-Adjusted Spread reached a record high of 6.23 in December of 2008 and a record low of 0.54 in March of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - ICE BofA 7-10 Year US Corporate Index Option-Adjusted Spread - last updated from the United States Federal Reserve on March of 2025.

Synthetic and real dispersion measurements for paths across the Pacific, consists of 2 datasets; SS3DPacific_new - This is a data set of surface-wave dispersion measurements. The dispersion is measured between a synthetic reference seismogram (computed with normal-mode summation using the MINEOS software in the radial model stw105 from Kustowski et al., 2008), and a real observed seismogram. This data set is used by Latallerie et al. (2024) to build a Vs model of the Pacific upper-mantle with full 3D resolution and uncertainty using SOLA inversion (Zaroli 2016) and finite-frequency theory (Zhou 2009). Data are for a set of source-receiver pairs for frequencies ranging from 6 to 21 mHz, every 1mHz. The measurement algorithm uses the multi-taper technique (Thompson 1982). The first 5 Slepians are used (Slepian 1978). A datum is the average of measurements over these tapers, and the uncertainty is the standard deviation. SS3DPacificSyn_new - This is a data set of surface-wave dispersion measurements. The dispersion is measured between a synthetic reference seismogram (computed with normal-mode summation using the MINEOS software in the radial model stw105 from Kustowski et al., 2008), and a synthetic seismogram computed using the spectral element method software Specfem in the 3D model S362ANI from Kustowski etl al. (2018). This data set is used by Latallerie et al. (2024) in a synthetic tomography study to retrieve the Vs structure of the input 3D model S362ANI in the Pacific upper-mantle with full 3D resolution and uncertainty using SOLA inversion (Zaroli 2016) and finite-frequency theory (Zhou 2009). Measurements are provided for source-receiver pairs for frequencies ranging from 6 to 21 mHz, every 1mHz. The measurement algorithm uses the multi-taper technique (Thompson 1982). The first 5 Slepians (Slepian 1978) are used. A datum is the average of measurements over these tapers, and the uncertainty is the standard deviation.

This dataset provides economic indicators used to monitor Iowa's economy and forecast future direction of economic activity in Iowa.

This statistic shows the main measures taken by schools and workplaces against the COVID-19 Spain (COVID-19) in Spain as of March 2020. During that month, 30 percent of respondents claimed that their workplace or school had provided them with sanitizers as a measure against the spread of the coronavirus.

Recently, Duarte and Young (2009) studied the probability of informed trading (PIN) proposed by Easley et al. (2002) and decomposed it into two parts: the adjusted PIN (APIN) as a measure of asymmetric information and the probability of symmetric order-flow shock (PSOS) as a measure of illiquidity. They provide some cross-section estimates of these measures using daily data over annual periods. In this paper we propose a method to estimate daily APIN and PSOS by extending the method in Tay et al. (2009) using high-frequency transaction data. Our empirical results show that while PIN is positively contemporaneously correlated with variance, APIN is not. On the other hand, PSOS is positively correlated with daily average effective spread and variance, which is consistent with the interpretation of PSOS as a measure of illiquidity. Compared to APIN, PSOS exhibits clustering and sporadic bursts over time.