Inflation was the most worrying topic worldwide as of May 2025, with ********* of the respondents choosing that option. Crime and violence, as well as poverty and social inequality, followed behind. Moreover, following Russia's invasion of Ukraine and the war in Gaza, *** percent of the respondents were worried about military conflict between nations. Only *** percent were worried about the COVID-19 pandemic, which dominated the world after its outbreak in 2020. Global inflation and rising prices Inflation rates have spiked substantially since the beginning of the COVID-19 pandemic in 2020. From 2020 to 2021, the worldwide inflation rate increased from *** percent to *** percent, and from 2021 to 2022, the rate increased sharply from *** percent to *** percent. While rates are predicted to fall by 2025, many are continuing to struggle with price increases on basic necessities. Poverty and global development Poverty and social inequality were the third most worrying issues for respondents. While poverty and inequality are still prominent, global poverty rates have been on a steady decline over the years. In 1994, ** percent of people in low-income countries and around one percent of people in high-income countries lived on less than 2.15 U.S. dollars per day. By 2018, this had fallen to almost ** percent of people in low-income countries and 0.6 percent in high-income countries. Moreover, fewer people globally are dying of preventable diseases, and people are living longer lives. Despite these aspects, issues such as wealth inequality have global prominence.

This statistic shows the answers to the following survey question "What do you think are the most pressing challenges the world is currently facing?" As of 2017, ** percent of respondents indicated terrorism is among the most pressing challenges the world is currently facing. Approximately two thirds of respondents found that climate change was also an important global pressing challenge currently. Less than half would consider caring for an ageing population, access to healthcare and economic growth and job creation being in their top five of most pressing challenges to the world.

This dataset is about books. It has 1 row and is filtered where the book is High noon : twenty global problems, twenty years to solve them. It features 7 columns including author, publication date, language, and book publisher.

United States SBOI: sa: Most Pressing Problem: A Year Ago: Others data was reported at 5.000 % in Mar 2025. This records a decrease from the previous number of 6.000 % for Feb 2025. United States SBOI: sa: Most Pressing Problem: A Year Ago: Others data is updated monthly, averaging 7.000 % from Jan 2014 (Median) to Mar 2025, with 131 observations. The data reached an all-time high of 11.000 % in May 2023 and a record low of 3.000 % in Jul 2024. United States SBOI: sa: Most Pressing Problem: A Year Ago: Others data remains active status in CEIC and is reported by National Federation of Independent Business. The data is categorized under Global Database’s United States – Table US.S042: NFIB Index of Small Business Optimism. [COVID-19-IMPACT]

Students in statistics, data science, analytics, and related fields study the theory and methodology of data-related topics. Some, but not all, are exposed to experiential learning courses that cover essential parts of the life cycle of practical problem-solving. Experiential learning enables students to convert real-world issues into solvable technical questions and effectively communicate their findings to clients. We describe several experiential learning course designs in statistics, data science, and analytics curricula. We present findings from interviews with faculty from the U.S., Europe, and the Middle East and surveys of former students. We observe that courses featuring live projects and coaching by experienced faculty have a high career impact, as reported by former participants. However, such courses are labor-intensive for both instructors and students. We give estimates of the required effort to deliver courses with live projects and the perceived benefits and tradeoffs of such courses. Overall, we conclude that courses offering live-project experiences, despite being more time-consuming than traditional courses, offer significant benefits for students regarding career impact and skill development, making them worthwhile investments. Supplementary materials for this article are available online.

The Asian Barometer Study (Australia) is the Australian component of the Asian Barometer Study, which is in turn part of the Global Barometer Surveys (GBS), the world's most comprehensive study of social, political, and economic attitudes. This study is the first time that the Asian Barometer – in collaboration with universities across Australia and internationally – has been conducted in Australia. The study is funded by the Australian National University and data collection is being carried out by the Social Research Centre. The GBS is a collaborative research project consisting of six regional barometers. It is the first comprehensive effort to measure the current social, political, and economic climate around the world. It provides an independent, scientific, and multidisciplinary view of public opinion on a range of policy-relevant issues. Currently, the GBS network currently is conducted in 93 countries, with covers 70% of the world’s population and is still expanding. In each country, the same questions are asked (in a range of languages) to compare views on democracy, governance, work, political participation, and general social activity.

Introduction: Mental health problems among children and adolescents are frequent. Today, the world is facing a pandemic with a novel coronavirus, which is related to the higher rates of mental problems reported worldwide. The objective of this study was to determine the impact of the Covid-19 related experiences, educational experiences, and family functioning on mental health and wellbeing among children and adolescents in Chile during the Pandemic and lockdown health measures.Methods: This is a cross-sectional analysis of the first wave of an ongoing longitudinal study among girls and boys of Pre-Kindergarten to 12th grade (4–18 years old) in Santiago, Chile. The sample consisted of 979 students from eight different schools. The method of data collection was online surveys administered to parents and adolescents. The dependent variables were mental health problems and wellbeing. Several independent variables were assessed (sociodemographic variables, Covid-19 related experiences, related educational experiences, and family functioning). A descriptive analysis and univariable and multivariable regression models were performed to study the association between variables.Results: Positive educational experiences, primarily academic self-concept, reduced the probability of mental health problems and increased wellbeing. Among covid-19 related variables, practicing meditation or praying reduced emotional problems, while having family or health problems increased emotional problems among adolescents. No clear association between Covid-19 related experiences variables among children was found.Conclusions: Our findings may help educational and public health authorities to plan future school preventive interventions to improve mental health and wellbeing in this population.

Dataset

This dataset was created by Rohit Kumar 412

Released under Attribution 4.0 International (CC BY 4.0)

Contents

This is an integration of 10 independent multi-country, multi-region, multi-cultural social surveys fielded by Gallup International between 2000 and 2013. The integrated data file contains responses from 535,159 adults living in 103 countries. In total, the harmonization project combined 571 social surveys.

These data have value in a number of longitudinal multi-country, multi-regional, and multi-cultural (L3M) research designs. Understood as independent, though non-random, L3M samples containing a number of multiple indicator ASQ (ask same questions) and ADQ (ask different questions) measures of human development, the environment, international relations, gender equality, security, international organizations, and democracy, to name a few [see full list below].

The data can be used for exploratory and descriptive analysis, with greatest utility at low levels of resolution (e.g. nation-states, supranational groupings). Level of resolution in analysis of these data should be sufficiently low to approximate confidence intervals.

These data can be used for teaching 3M methods, including data harmonization in L3M, 3M research design, survey design, 3M measurement invariance, analysis, and visualization, and reporting. Opportunities to teach about para data, meta data, and data management in L3M designs.

The country units are an unbalanced panel derived from non-probability samples of countries and respondents> Panels (countries) have left and right censorship and are thusly unbalanced. This design limitation can be overcome to the extent that VOTP panels are harmonized with public measurements from other 3M surveys to establish balance in terms of panels and occasions of measurement. Should L3M harmonization occur, these data can be assigned confidence weights to reflect the amount of error in these surveys.

Pooled public opinion surveys (country means), when combine with higher quality country measurements of the same concepts (ASQ, ADQ), can be leveraged to increase the statistical power of pooled publics opinion research designs (multiple L3M datasets)…that is, in studies of public, rather than personal, beliefs.

The Gallup Voice of the People survey data are based on uncertain sampling methods based on underspecified methods. Country sampling is non-random. The sampling method appears be primarily probability and quota sampling, with occasional oversample of urban populations in difficult to survey populations. The sampling units (countries and individuals) are poorly defined, suggesting these data have more value in research designs calling for independent samples replication and repeated-measures frameworks.

**The Voice of the People Survey Series is WIN/Gallup International Association's End of Year survey and is a global study that collects the public's view on the challenges that the world faces today. Ongoing since 1977, the purpose of WIN/Gallup International's End of Year survey is to provide a platform for respondents to speak out concerning government and corporate policies. The Voice of the People, End of Year Surveys for 2012, fielded June 2012 to February 2013, were conducted in 56 countries to solicit public opinion on social and political issues. Respondents were asked whether their country was governed by the will of the people, as well as their attitudes about their society. Additional questions addressed respondents' living conditions and feelings of safety around their living area, as well as personal happiness. Respondents' opinions were also gathered in relation to business development and their views on the effectiveness of the World Health Organization. Respondents were also surveyed on ownership and use of mobile devices. Demographic information includes sex, age, income, education level, employment status, and type of living area.

From the IPCC website: The A1 Family storyline is a case of rapid and successful economic development, in which regional averages of income per capita converge - current distinctions between poor and rich countries eventually dissolve. In this scenario family, demographic and economic trends are closely linked, as affluence is correlated with long life and small families (low mortality and low fertility). Global population grows to some nine billion by 2050 and declines to about seven billion by 2100. Average age increases, with the needs of retired people met mainly through their accumulated savings in private pension systems. The global economy expands at an average annual rate of about three percent to 2100. This is approximately the same as average global growth since 1850, although the conditions that lead to a global economic in productivity and per capita incomes are unparalleled in history. Income per capita reaches about US$21,000 by 2050. While the high average level of income per capita contributes to a great improvement in the overall health and social conditions of the majority of people, this world is not without its problems. In particular, many communities could face some of the problems of social exclusion encountered by the wealthiest countries in the 20th century and in many places income growth could come with increased pressure on the global commons. Energy and mineral resources are abundant in this scenario family because of rapid technical progress, which both reduce the resources need to produce a given level of output and increases the economically recoverable reserves. Final energy intensity (energy use per unit of GDP) decreases at an average annual rate of 1.3 percent. With the rapid increase in income, dietary patterns shift initially significantly towards increased consumption of meat and dairy products, but may decrease subsequently with increasing emphasis on health of an aging society. High incomes also translate into high car ownership, sprawling suburbanization and dense transport networks, nationally and internationally. Land prices increase faster than income per capita. These factors along with high wages result in a considerable intensification of agriculture. Three scenario groups are considered in A1 scenario family reflecting the uncertainty in development of energy sources and conversion technologies in this rapidly changing world. Near-term investment decisions may introduce long-term irreversibilities into the market, with lock-in to one technological configuration or another. The A1B scenario group is based on a balanced mix of energy sources and has an intermediate level of CO2 emissions, but depending on the energy sources developed, emissions in the variants cover a very wide range. In the fossil-fuel intensive scenario group A1FI, emissions approach those of the A2 scenarios; conversely in scenario group A1T with low labor productivity or of rapid progress in "post-fossil" energy technologies, emissions are intermediate between those of B1 and B2. These scenario variants have been introduced into the A1 storyline because of its "high growth with high tech" nature, where differences in alternative technology developments translate into large differences in future GHG emission levels Ecological resilience is assumed to be high in this storyline. Environmental amenities are viewed in a utilitarian way, based on their influence on the formal economy. The concept of environmental quality might change in this storyline from "conservation" of nature to active "management" - and marketing - of natural and environmental services. Data are available for the following periods: 1961-1990, 2010-2039; 2040-2069; and 2090-2099 Mean monthly and change fields.

In today’s economic globalization, the cold chain logistics industry is a fundamental sector supporting the development of the national economy, with sustainable development and a people-oriented approach being crucial. This paper investigates the path optimization problem of cold chain logistics vehicles that simultaneously pick up and deliver goods within a time window, aiming to achieve sustainable development in real-world cold chain logistics distribution. Additionally, the paper takes into account the varying speeds of vehicles over time to more accurately simulate real-world traffic conditions. The objective of the mathematical model is to minimize the total cost, which includes economic, environmental, social, and equity costs. To address this problem, a Heuristic Cross Brainstorm Optimization Algorithm (HCBSO) has been selected, and strategies such as segment-based initial solution construction and heuristic crossover have been designed to enhance the algorithm’s performance. Furthermore, a departure time optimization strategy has been developed to avoid traffic congestion. The effectiveness of the model and algorithm has been verified through multiple sets of comparative tests. The test results indicate that the constructed model and designed algorithm can scientifically optimize departure times, plan vehicle routes to avoid traffic congestion, effectively reduce total costs, and promote the sustainable development of the cold chain logistics system.

From the IPCC website: The B2 world is one of increased concern for environmental and social sustainability. Education and welfare programs are widely pursued leading to reductions in mortality and, to a lesser extent, fertility. The population reaches about 10 billion people by 2100, consistent with both the United Nations and IIASA median projections. Income per capita grows at an intermediary rate to reach about US$12,000 by 2050. By 2100 the global economy might expand to reach some US$250 trillion. International income differences decrease, although not as rapidly as in scenarios of higher global convergence (A1, B1). Local inequity is reduced considerably through the development of stronger community support networks. Generally high educational levels promote both development and environmental protection. Indeed, environmental protection is one of the few remaining truly international priorities. However, strategies to address global environmental challenges are less successful than in B1, as governments have difficulty designing and implementing agreements that combine environmental protection with mutual economic benefits. The B2 storyline presents a particularly favorable climate for community initiative and social innovation, especially in view of high educational levels. Technological frontiers are pushed less than in A1 and B1 and innovations are also regionally more heterogeneous. Globally, investment in R&D continues its current declining trend, and mechanisms for international diffusion of technology and know-how remain weaker than in scenarios A1 and B1 (but higher than in scenario A2). Some regions with rapid economic development and limited natural resources place particular emphasis on technology development and bilateral co-operation. Technical change is therefore uneven. The energy intensity of GDP declines at about one percent per year, in line with the average historical experience of the last two centuries. Land-use management becomes better integrated at the local level in the B2 world. Urban and transport infrastructure is a particular focus of community innovation, contributing to a low level of car dependence and less urban sprawl. An emphasis on food self-reliance contributes to a shift in dietary patterns towards local products, with reduced meat consumption in countries with high population densities. Energy systems differ from region to region, depending on the availability of natural resources. The need to use energy and other resources more efficiently spurs the development of less carbon-intensive technology in some regions. Environment policy cooperation at the regional level leads to success in the management of some transboundary environmental problems, such as acidification due to SO2, especially to sustain regional self-reliance in agricultural production. Regional cooperation also results in lower emissions of NOx and VOCs, reducing the incidence of elevated tropospheric ozone levels. Although globally the energy system remains predominantly hydrocarbon-based to 2100, there is a gradual transition away from the current share of fossil resources in world energy supply, with a corresponding reduction in carbon intensity. Data are available for the following periods: 1961-1990, 2010-2039; 2040-2069; and 2090-2099 Mean monthly and change fields.

According to an April 2024 survey on climate change conducted in the United States, some ** percent of the respondents claimed they rarely or never discuss global warming with family and friends. Another ** percent reported that they often or occasionally discussed the topic.

On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.COVID-19 Trends MethodologyOur goal is to analyze and present daily updates in the form of recent trends within countries, states, or counties during the COVID-19 global pandemic. The data we are analyzing is taken directly from the Johns Hopkins University Coronavirus COVID-19 Global Cases Dashboard, though we expect to be one day behind the dashboard’s live feeds to allow for quality assurance of the data.DOI: https://doi.org/10.6084/m9.figshare.125529863/7/2022 - Adjusted the rate of active cases calculation in the U.S. to reflect the rates of serious and severe cases due nearly completely dominant Omicron variant.6/24/2020 - Expanded Case Rates discussion to include fix on 6/23 for calculating active cases.6/22/2020 - Added Executive Summary and Subsequent Outbreaks sectionsRevisions on 6/10/2020 based on updated CDC reporting. This affects the estimate of active cases by revising the average duration of cases with hospital stays downward from 30 days to 25 days. The result shifted 76 U.S. counties out of Epidemic to Spreading trend and no change for national level trends.Methodology update on 6/2/2020: This sets the length of the tail of new cases to 6 to a maximum of 14 days, rather than 21 days as determined by the last 1/3 of cases. This was done to align trends and criteria for them with U.S. CDC guidance. The impact is areas transition into Controlled trend sooner for not bearing the burden of new case 15-21 days earlier.Correction on 6/1/2020Discussion of our assertion of an abundance of caution in assigning trends in rural counties added 5/7/2020. Revisions added on 4/30/2020 are highlighted.Revisions added on 4/23/2020 are highlighted.Executive SummaryCOVID-19 Trends is a methodology for characterizing the current trend for places during the COVID-19 global pandemic. Each day we assign one of five trends: Emergent, Spreading, Epidemic, Controlled, or End Stage to geographic areas to geographic areas based on the number of new cases, the number of active cases, the total population, and an algorithm (described below) that contextualize the most recent fourteen days with the overall COVID-19 case history. Currently we analyze the countries of the world and the U.S. Counties. The purpose is to give policymakers, citizens, and analysts a fact-based data driven sense for the direction each place is currently going. When a place has the initial cases, they are assigned Emergent, and if that place controls the rate of new cases, they can move directly to Controlled, and even to End Stage in a short time. However, if the reporting or measures to curtail spread are not adequate and significant numbers of new cases continue, they are assigned to Spreading, and in cases where the spread is clearly uncontrolled, Epidemic trend.We analyze the data reported by Johns Hopkins University to produce the trends, and we report the rates of cases, spikes of new cases, the number of days since the last reported case, and number of deaths. We also make adjustments to the assignments based on population so rural areas are not assigned trends based solely on case rates, which can be quite high relative to local populations.Two key factors are not consistently known or available and should be taken into consideration with the assigned trend. First is the amount of resources, e.g., hospital beds, physicians, etc.that are currently available in each area. Second is the number of recoveries, which are often not tested or reported. On the latter, we provide a probable number of active cases based on CDC guidance for the typical duration of mild to severe cases.Reasons for undertaking this work in March of 2020:The popular online maps and dashboards show counts of confirmed cases, deaths, and recoveries by country or administrative sub-region. Comparing the counts of one country to another can only provide a basis for comparison during the initial stages of the outbreak when counts were low and the number of local outbreaks in each country was low. By late March 2020, countries with small populations were being left out of the mainstream news because it was not easy to recognize they had high per capita rates of cases (Switzerland, Luxembourg, Iceland, etc.). Additionally, comparing countries that have had confirmed COVID-19 cases for high numbers of days to countries where the outbreak occurred recently is also a poor basis for comparison.The graphs of confirmed cases and daily increases in cases were fit into a standard size rectangle, though the Y-axis for one country had a maximum value of 50, and for another country 100,000, which potentially misled people interpreting the slope of the curve. Such misleading circumstances affected comparing large population countries to small population counties or countries with low numbers of cases to China which had a large count of cases in the early part of the outbreak. These challenges for interpreting and comparing these graphs represent work each reader must do based on their experience and ability. Thus, we felt it would be a service to attempt to automate the thought process experts would use when visually analyzing these graphs, particularly the most recent tail of the graph, and provide readers with an a resulting synthesis to characterize the state of the pandemic in that country, state, or county.The lack of reliable data for confirmed recoveries and therefore active cases. Merely subtracting deaths from total cases to arrive at this figure progressively loses accuracy after two weeks. The reason is 81% of cases recover after experiencing mild symptoms in 10 to 14 days. Severe cases are 14% and last 15-30 days (based on average days with symptoms of 11 when admitted to hospital plus 12 days median stay, and plus of one week to include a full range of severely affected people who recover). Critical cases are 5% and last 31-56 days. Sources:U.S. CDC. April 3, 2020 Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19). Accessed online. Initial older guidance was also obtained online. Additionally, many people who recover may not be tested, and many who are, may not be tracked due to privacy laws. Thus, the formula used to compute an estimate of active cases is: Active Cases = 100% of new cases in past 14 days + 19% from past 15-25 days + 5% from past 26-49 days - total deaths. On 3/17/2022, the U.S. calculation was adjusted to: Active Cases = 100% of new cases in past 14 days + 6% from past 15-25 days + 3% from past 26-49 days - total deaths. Sources: https://www.cdc.gov/mmwr/volumes/71/wr/mm7104e4.htm https://covid.cdc.gov/covid-data-tracker/#variant-proportions If a new variant arrives and appears to cause higher rates of serious cases, we will roll back this adjustment. We’ve never been inside a pandemic with the ability to learn of new cases as they are confirmed anywhere in the world. After reviewing epidemiological and pandemic scientific literature, three needs arose. We need to specify which portions of the pandemic lifecycle this map cover. The World Health Organization (WHO) specifies six phases. The source data for this map begins just after the beginning of Phase 5: human to human spread and encompasses Phase 6: pandemic phase. Phase six is only characterized in terms of pre- and post-peak. However, these two phases are after-the-fact analyses and cannot ascertained during the event. Instead, we describe (below) a series of five trends for Phase 6 of the COVID-19 pandemic.Choosing terms to describe the five trends was informed by the scientific literature, particularly the use of epidemic, which signifies uncontrolled spread. The five trends are: Emergent, Spreading, Epidemic, Controlled, and End Stage. Not every locale will experience all five, but all will experience at least three: emergent, controlled, and end stage.This layer presents the current trends for the COVID-19 pandemic by country (or appropriate level). There are five trends:Emergent: Early stages of outbreak. Spreading: Early stages and depending on an administrative area’s capacity, this may represent a manageable rate of spread. Epidemic: Uncontrolled spread. Controlled: Very low levels of new casesEnd Stage: No New cases These trends can be applied at several levels of administration: Local: Ex., City, District or County – a.k.a. Admin level 2State: Ex., State or Province – a.k.a. Admin level 1National: Country – a.k.a. Admin level 0Recommend that at least 100,000 persons be represented by a unit; granted this may not be possible, and then the case rate per 100,000 will become more important.Key Concepts and Basis for Methodology: 10 Total Cases minimum threshold: Empirically, there must be enough cases to constitute an outbreak. Ideally, this would be 5.0 per 100,000, but not every area has a population of 100,000 or more. Ten, or fewer, cases are also relatively less difficult to track and trace to sources. 21 Days of Cases minimum threshold: Empirically based on COVID-19 and would need to be adjusted for any other event. 21 days is also the minimum threshold for analyzing the “tail” of the new cases curve, providing seven cases as the basis for a likely trend (note that 21 days in the tail is preferred). This is the minimum needed to encompass the onset and duration of a normal case (5-7 days plus 10-14 days). Specifically, a median of 5.1 days incubation time, and 11.2 days for 97.5% of cases to incubate. This is also driven by pressure to understand trends and could easily be adjusted to 28 days. Source

Vulnerable populations, such as the elderly, children, displaced people, and refugees, often encounter challenges in accessing healthcare. In this study, we used data from the third iteration of the International Society of Nephrology Global Kidney Health Atlas (ISN-GKHA) to describe kidney care access and delivery to vulnerable populations across countries and regions. Using data from an international survey of clinicians, policymakers, and patient advocates, we assessed the funding and coverage of vulnerable populations on all aspects of kidney replacement therapies (KRT). Overall, 167 countries or jurisdictions participated in the survey, representing 97.4% of the world’s population. Children had less access than adults to KRT: hemodialysis (HD) in 74% of countries, peritoneal dialysis (PD) in 53% of countries, and kidney transplantation (KT) in 80% of countries. Available nephrologist workforce for pediatric kidney care was much lower than for adults (0.69 per million population [pmp] vs 10.08 pmp). Refugees or displaced people with kidney failure did not have access to HD, PD, or KT in 21%, 33%, and 37% of the participating countries, respectively. Low-income countries (LICs) were less likely to provide KRT access to refugees compared to high-income countries (HICs): HD: 13% vs 22%; PD: 19% vs 61%; KT: 30% vs 44%. Testing for kidney disease was routinely offered to elderly people in only 61% of countries: LICs (45%), lower-middle-income countries (56%), upper-middle-income countries (54%), and HICs (75%). Equitable access to kidney care for vulnerable people, particularly for children and displaced people, remains an area of unmet need. Strategies are needed to address this issue.

Objective: This review aimed to assess the current use and acceptance of real-world data (RWD) and real-world evidence (RWE) in health technology assessment (HTA) process. It additionally aimed to discern stakeholders’ viewpoints concerning RWD and RWE in HTA and illuminate the obstacles, difficulties, prospects, and consequences associated with the incorporation of RWD and RWE into the realm of HTA.Methods: A comprehensive PRISMA-based systematic review was performed in July 2022 in PubMed/Medline, Scopus, IDEAS-RePEc, International HTA database, and Centre for Reviews and Dissemination with ad hoc supplementary search in Google Scholar and international organization websites. The review included pre-determined inclusion criteria while the selection of eligible studies, the data extraction process and quality assessment were carried out using standardized and transparent methods.Results: Twenty-nine (n = 29) studies were included in the review out of 2,115 studies identified by the search strategy. In various global contexts, disparities in RWD utilization were evident, with randomized controlled trials (RCTs) serving as the primary evidence source. RWD and RWE played pivotal roles, surpassing relative effectiveness assessments (REAs) and significantly influencing decision-making and cost-effectiveness analyses. Identified challenges impeding RWD integration into HTA encompassed limited local data access, complexities in non-randomized trial design, data quality, privacy, and fragmentation. Addressing these is imperative for optimal RWD utilization. Incorporating RWD/RWE in HTA yields multifaceted advantages, enhancing understanding of treatment efficacy, resource utilization, and cost analysis, particularly via patient registries. RWE complements assessments of advanced therapy medicinal products (ATMPs) and rare diseases. Local data utilization strengthens HTA, bridging gaps when RCT data is lacking. RWD aids medical device decision-making, cancer drug reassessment, and indirect treatment comparisons. Challenges include data availability, stakeholder acceptance, expertise, and privacy. However, standardization, training, collaboration, and guidance can surmount these barriers, fostering enhanced RWD utilization in HTA.Conclusion: This study highlights the intricate global landscape of RWD and RWE acceptance in HTA. Recognizing regional nuances, addressing methodological challenges, and promoting collaboration are pivotal, among others, for leveraging RWD and RWE effectively in healthcare decision-making.

The Precision Current Divider market is an essential component in the realm of electrical engineering, enabling the accurate measurement and distribution of current across various applications. It plays a pivotal role in testing and calibration processes in industries such as telecommunications, automotive, and aero

Colombia IOS: New Methodology: Principal Problems of the Industry: Smuggling data was reported at 7.100 % in Jan 2023. This records an increase from the previous number of 4.200 % for Aug 2022. Colombia IOS: New Methodology: Principal Problems of the Industry: Smuggling data is updated monthly, averaging 11.600 % from May 2011 (Median) to Jan 2023, with 135 observations. The data reached an all-time high of 18.200 % in Oct 2014 and a record low of 2.760 % in Jan 2022. Colombia IOS: New Methodology: Principal Problems of the Industry: Smuggling data remains active status in CEIC and is reported by National Association of Businessmen of Colombia. The data is categorized under Global Database’s Colombia – Table CO.S012: Industrial Opinion Survey: Principal Problems of the Industry: New Methodology.

Project Summary Refugees are often considered to be among the world’s most powerless groups; they face significant structural barriers to political mobilization, including often extreme poverty and exposure to repression. Yet despite these odds refugee groups do occasionally mobilize to demand better services and greater rights. This paper examines varying levels of mobilization among Syrian refugees living in camps and informal settlements in Turkey, Lebanon, and Jordan in order to explain how marginalized and dispossessed groups manage to develop autonomous political strength. I explain the surprisingly high levels of mobilization in Jordan’s Za’atari Camp, compared to the relative quiescence of refugees in Turkish camps and Lebanese informal settlements, as the product of a set of strong informal leadership networks. These networks emerged due to two unique facets of the refugee management regime in Jordan: 1) the concentration of refugees in the camp, and 2) a fragmented governance system. In Turkey and Lebanon, where these two conditions were absent, refugees did not develop the strong leadership networks necessary to support mobilization. I develop this argument through structured comparison of three cases and within-case process tracing, using primary source documents from humanitarian agencies, contentious event data, and 87 original interviews conducted in the summer of 2015. Data Abstract The data in this deposit comprise part of the empirical material behind the 2018 Perspectives on Politics article "When Do the Dispossessed Protest? Informal Leadership and Mobilization in Syrian Refugee Camps." The article examines why Syrian refugees living in some refugee camps in the Middle East, but not others, engage in contentious mobilization against humanitarian authorities. I am sharing two types of data, both of which were compiled from web-based sources. First, I collected humanitarian documents from the data-sharing portal of the United Nations High Commission for Refugees (UNHCR). Specifically, I collected meeting minutes, governance plans, security reports, maps, and statistical reports used for the management of the Zaatari refugee camp in northern Jordan. I used these documents to study governance dynamics and contention patterns in the camp. The documents are mostly comprehensive within a given category. For example, I include all the Camp Management Committee meeting minutes and all the community mobilization meeting minutes that I was able to access through the portal. Similarly, both of the two safety and security reports available have been included, and the governance plan is the only one that was produced. I only include maps that I used to inform the analysis in the paper, as UNHCR produces hundreds of maps of different types to facilitate its governance of the camp. In the camp overview and population camps folder, I included the earliest statistical factsheet that I could find (April 2015), as that was closest to the period I was writing about (2012-2014), and the only REACH population survey that I was able to identify. Second, I worked with a data analytics company in Lebanon to web-scrape Internet content on Syrian refugee protests in Lebanon in order to build a catalog of protest events in that country. The web-scraping technique delivered a catchment of web content (mostly links to news articles and social media posts) referring to specific protest events. I then individually examined each of these events, using the web material, to confirm its validity and relevance to the project. Through this method I was able to identify eighteen events from February 2014 to January 2017. In an appendix to the article each event is enumerated in a table and the corroborating sources and original links are listed next to each event. In the depository the content of each corroborating source is also included (where possible), as is an archived url to the original source. Files DescriptionThe data are of two types: humanitarian documents and web-scraped material on protest events. The humanitarian documents are organized by topic. First are two documents with statistical information on the camp. Following these are files with the meeting minutes for the weekly Camp Coordinating Meeting in Zaatari (50 total). Then come meeting minutes for the community mobilization initiative. Next come two security reports and the camp governance plan. Finally, there are four maps. A full list of these files, including their original URL, generated by QDR curators, is also included as documentation. Most of these documents are in PDF format. Second, the catalog of protest events in Lebanon are included as a spreadsheet. Each event listed includes the details of the event as well as links to web content (usually news articles or social media posts) corroborating the occurrence of the event. These links were also archived using perma.cc by QDR, and the perma.cc links are included as well. This list is included...

United States New Security Issues: SL: Proceeds: Education data was reported at 5.836 USD bn in May 2018. This records an increase from the previous number of 4.349 USD bn for Apr 2018. United States New Security Issues: SL: Proceeds: Education data is updated monthly, averaging 4.632 USD bn from Mar 2003 (Median) to May 2018, with 183 observations. The data reached an all-time high of 37.086 USD bn in Nov 2014 and a record low of 1.566 USD bn in Jan 2013. United States New Security Issues: SL: Proceeds: Education data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.Z031: New Security Issues: State and Local Governments.