An increase in prices concerned over 60 percent of Russians in February 2022, recorded as the most worrying problem in the society. An issue of unemployment growth was named as one of the most critical by nearly three out of ten survey participants. Besides political and economic matters, the deterioration of the environmental situation and a morality crisis were named among the most worrying topics.

Political attitudes and behaviors with regard to demographic change.

Topics: Assessment of the national economic situation (retrospective, current, prospective); concern regarding demographic change; anticipated problems caused by an aging society; perceived age limit of older and younger people; knowledge test: Proportion of the country´s population over 65; perception of commonalities in own age group; perceived frequency of media reports on generational conflicts; political interest; assessment of one´s own economic situation (retrospective, current, prospective); voter turnout (Sunday question); party preference (voters and non-voters); perceptions of social conflicts between selected social groups (people with and without children, politically left and right, young and old, poor and rich, employed and retired, Germans and foreigners, East Germans and West Germans); most important political goals (post-materialism, Inglehart indicators); opinion on selected statements about old and young (frequent abuse of social benefits in Germany, assessment of representation of younger people´s interests in politics, assessment of representation of older people in political positions, older people should organize their own party, older people should support younger people and younger people should support older people); perceived strength of general intergenerational support; financial support of a family member of another generation resp. frequency of self-received financial support (intergenerational transfers); frequency of support from a person in everyday life who belongs to another generation or frequency of self-received support; satisfaction with democracy; political trust (Bundestag, politicians, Federal Constitutional Court, federal government, media); opinion on selected statements about young and old (importance of contact with significantly younger persons, evaluation of the representation of the interests of older persons in politics, older persons live at the expense of the following generations, older persons have built up what the younger persons live on today, importance of contact with significantly older persons, evaluation of the representation of younger persons in political positions; political efficacy; electoral norm (voter turnout as a civic duty); sympathy scalometer of political parties (CDU/CSU, SPD, FDP, Greens, Die Linke); satisfaction with selected policy areas (reduction of unemployment, health, education, financial security for the elderly, family, care in old age); preferred level of government spending in the aforementioned areas; preferred government responsibility in the aforementioned areas; most competent party to solve the problems in the aforementioned areas (problem-solving competence); salience of the aforementioned policy areas; self-ranking on a left-right continuum; assessment of the representation of older people´s interests by political parties (CDU/CSU, SPD, FDP, Greens, Die Linke); assessment of the representation of younger people´s interests by political parties (CDU/CSU, SPD, FDP, Greens, Die Linke); recall Bundestag elections 2013 (voter turnout, voting decision); expected occurrence of various future scenarios (conflicts between older and younger people, refusal of younger people to pay for the pensions of older people, older people more likely to assert their political interests than younger people, increasing old-age poverty, refusal of younger people to pay for the medical care of older people, Germany will no longer be able to afford current pension levels, Elderly will no longer receive all available medical benefits); reliance most likely on state, family or self for own retirement; knowledge test: Year of phased introduction of retirement at 67; civic engagement; hours per week of volunteering; perception of social justice; general life satisfaction; party affiliation and strength of party identification; concerns regarding own retirement security (financial/medical) or feared unemployment; religious affiliation; religiosity; salience of selected life domains (family and friends, health, leisure, politics, income, education, work, and occupation); self-assessment of class affiliation; residence description.

Demography: age (grouped) and year of birth; sex; household size; number of persons under 18 in household; household composition (one, two, or three generations); number of children and grandchildren; regrets about own childlessness; partnership; living with partner; married to partner; German citizenship; German citizenship since birth or year of acquiring German citizenship; country of birth (in the old federal states (West Germany, in the new federal states (East Germany or former GDR) or abroad); highest school degree; university degree; current and former employment; current and former occupation.

Additionally coded were: Federal state; area; region West East; weighting factors; interview date.

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US Population Health Management Market Size 2025-2029

The US population health management (PHM) market size is forecast to increase by USD 6.04 billion, at a CAGR of 7.4% between 2024 and 2029.

Population Health Management (PHM) is a critical aspect of healthcare delivery In the modern era, focusing on improving the health outcomes of large populations. The market is experiencing significant growth, driven by several key trends. One of the primary factors fueling this growth is the increasing adoption of healthcare IT solutions. These technologies enable healthcare providers to collect, manage, and analyze large amounts of patient data, facilitating personalized care and population health improvement. Another trend is the growing adoption of analytics in PHM. Analytics tools help identify patterns and insights from data, enabling early intervention and prevention of diseases. However, the high perceived costs associated with PHM solutions remain a challenge for market growth. Despite this, the benefits of PHM, including improved patient outcomes and reduced healthcare costs, make it a worthwhile investment for healthcare organizations.

What will be the Size of the market During the Forecast Period?

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Population Health Management (PHM) is a proactive healthcare approach focusing on improving the wider determinants of health and addressing health inequalities in various physical, economic, and social contexts. The market reflects the growing recognition of the importance of system-wide outcome focus, local intelligence, and data-driven decision-making in addressing ill health and managing chronic conditions such as cardiovascular disease. PHM integrates qualitative and quantitative data to identify and address the unique needs of populations, enabling personalized interventions and care models. Infrastructure, leadership, and information governance are crucial elements in implementing effective PHM strategies. 
Payment reform and incentives are driving the transformation of healthcare systems towards a more integrated care model, reducing hospitalization and improving overall population health. The market is experiencing significant growth due to the increasing awareness of the importance of addressing the root causes of ill health and the need for a more holistic approach to healthcare. This shift towards PHM is influenced by the economic, social, and demographic changes In the global population, emphasizing the need for a more resource-efficient and sustainable healthcare system.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Software
  Services


Deployment

  Cloud
  On-premises


End-user

  Healthcare providers
  Healthcare payers
  Employers and government bodies


Geography

  US

By Product Insights

The software segment is estimated to witness significant growth during the forecast period.

Population Health Management (PHM) software is a crucial tool In the US healthcare sector, collecting and analyzing patient data from various healthcare systems to predict health conditions and improve overall patient care. Advanced data analytics, including data visualizations and business intelligence, enable PHM software to identify health risks within communities and promote value-based care. The adoption of PHM software is on the rise due to the increasing prevalence of chronic conditions and the demand for efficient, cost-effective healthcare. PHM software also facilitates system-wide outcome focus, integrating qualitative and quantitative data, local intelligence, and decision-making to redesign care services for at-risk groups.

The US healthcare transformation prioritizes PHM, with NHS England, NHS trusts, Public health, VCSE organizations, and Integrated Care Systems (ICSs) utilizing PHM software to address health inequalities and improve health outcomes. PHM software's infrastructure, leadership, information governance, and digital infrastructure support the integration of interventions, care models, hospitalization incentives, payment reforms, and integrated care systems. PHM software plays a vital role in addressing health issues such as cardiovascular disease (CVD) and improving overall population health.

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Market Dynamics

Our US Population Health Management (PHM) Market researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in adopti

What is Social Vulnerability?Every community must prepare for and respond to hazardous events, whether a natural disaster like a tornado or a disease outbreak, or an anthropogenic event such as a harmful chemical spill. The degree to which a community exhibits certain social conditions, including high poverty, low percentage of vehicle access, or crowded households, among others, may affect that community’s ability to prevent human suffering and financial loss in the event of a disaster. These factors describe a community’s social vulnerability.What is the CDC/ATSDR Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis, & Services Program (GRASP) created the Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry Social Vulnerability Index (hereafter, CDC/ATSDR SVI or SVI) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event.SVI indicates the relative vulnerability of every U.S. census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 16 social factors, such as unemployment, racial and ethnic minority status, and disability status. Then, SVI further groups the factors into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes as well as an overall ranking.Below, text that describes “tract” methods also refers to county methods.How can the SVI help communities be better prepared for hazardous events?SVI provides specific socially and spatially relevant information to help public health officials and local planners better prepare communities to respond to emergency events such as severe weather, floods, disease outbreaks, or chemical exposure.SVI can be used to:Assess community need during emergency preparedness planning.Estimate the type and quantity of needed supplies such as food, water, medicine, and bedding.Decide the number of emergency personnel required to assist people.Identify areas in need of emergency shelters.Create a plan to evacuate people, accounting for those who have special needs, such as those without vehicles, the elderly, or people who do not speak English well.Identify communities that will need continued support to recover following an emergency or natural disaster.For more detailed methodology and attribute details, please review this document.

Abstract

The primary objective of SASAS is to design, develop and implement a conceptually and methodologically robust study of changing social attitudes and values in South Africa to be able to carefully and consistently monitor and explain changes in attitudes amongst various socio-demographic groupings. The SASAS explores a wide range of value changes, including the distribution and shape of racial attitudes and aspirations, attitudes towards democratic and constitutional issues, and the redistribution of resources and power. Moreover, there is also an explicit interest in mapping changing attitudes towards some of the moral issues that confront and are fiercely debated in South Africa, such as gender issues, AIDS, crime and punishment, governance, and service delivery. The SASAS is intended to provide a unique long-term account of the social fabric of modern South Africa, and of how its changing political and institutional structures interact over time with changing social attitudes and values.

Geographic coverage

National coverage

Analysis unit

The units of analysis in the study are households and individuals

Universe

The population under investigation includes adults aged 16 and older in private households in South Africa

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Design The South African Social Attitudes Survey has been designed to yield a representative sample of adults aged 16 and older. The sampling frame for the survey is the Human Sciences Research Council’s (HSRC) Master Sample, which was designed in 2002 and consists of 1 000 primary sampling units (PSUs). The 2001 population census enumerator areas (EAs) were used as PSUs. These PSUs were drawn, with probability proportional to size, from a pre-census 2001 list of EAs provided by Statistics South Africa.

The Master Sample excludes special institutions (such as hospitals, military camps, old age homes, school and university hostels), recreational areas, industrial areas and vacant EAs. It therefore focuses on dwelling units or visiting points as secondary sampling units, which have been defined as ‘separate (non-vacant) residential stands, addresses, structures, flats, homesteads, etc.’

As the basis of the 2004 SASAS round of interviewing, a sub-sample of 500 PSUs was drawn from the HSRC’s Master Sample. Three explicit stratification variables were used, namely province, geographic type and majority population group.

Within each stratum, the allocated number of PSUs was drawn using proportional to size probability sampling. In each of these drawn PSUs, two clusters of 7 dwelling units each were drawn. These 14 dwelling units in each drawn PSU were systematically grouped into 2 subsamples of seven, to give the two SASAS samples.

Number of units: Questionnaire 1: 2 497 cases realised from 3 500 addresses; questionnaire 2: 2 483 cases realised from 3 500 addresses; combined : 4980 cases

Mode of data collection

Face-to-face [f2f]

Research instrument

To accommodate the wide variety of topics that was included in the 2004 survey, two questionnaires were administered simultaneously. Apart from the standard set of demographic and background variables, each version of the questionnaire contained a harmonised core module that will remain constant from round to round, with the aim of monitoring change and continuity in a variety of socio-economic and socio-political variables. In addition, a number of themes will be accommodated on a rotational basis. This rotating element of the survey consists of two or more topic-specific modules in each round of interviewing and is directed at measuring a range of policy and academic concerns and issues that require more detailed examination at a specific point in time than the multi-topic core module would permit.

In respect of the two SASAS questionnaires, the questions contained in the core module (demographics and core thematic issues) were asked of all 7 000 respondents, while the remaining rotating modules were asked of a half sample of approximately 3 500 respondents each. The two different versions of the questionnaire were administered concurrently in each of the chosen sampling areas. Fieldworkers were required to complete a paper-based instrument while interviews were conducted face-to-face. Questions for the core module were asked of both samples (3 500 respondents each – 7 000) of which 5 583 were realised.

ISSP Module: The International Social Survey Programme (ISSP) is run by a group of research organisations, each of which undertakes to field annually an agreed module of questions on a chosen topic area. SASAS 2003 represents the formalisation of South Africa's inclusion in the ISSP, the intention being to include the module in one of the SASAS questionnaires in each round of interviewing. Each module is chosen for repetition at intervals to allow comparisons both between countries (membership currently stands at 40) and over time. In 2003, the chosen subject was national identity, and the module was carried in version 2 of the questionnaire (Qs.152-203).

The standard questionnaires dealt with democracy, identity, public services, social values, crime, voting, demographics, families and family authority The rotating modules in the 2004 survey covered: Questionnaire 1: Poverty, environment, democracy (part 2) Questionnaire 2: ISSP module (citizenship), democracy (part 2)

In May 2021, the COVID-19 pandemic was the main concern of Parisians. While the pandemic is one of the top issues for the French in general, Parisians are more concerned than the rest of the population, with 47 percent reporting the pandemic to be the major challenge facing Paris. The second most important concern for Parisians was the cleanliness of public spaces, such as streets and parks (44 percent), and the third was air quality and pollution. An additional 40 percent to considered housing to be a major issue. In January 2022, the capital remained the most expensive city in France to rent an apartment.

This table provides 2021 data on the estimated population under 16 years of age in the Canary Islands due to health problems suffered in the last 12 months and social classes based on the occupation of the reference person.

This dataset covers ballots 333-38, spanning January, March, May, July, September and October 1969. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 333 - January This Gallup poll seeks the opinions of Canadians on various political and social issues. Subjects include discipline in schools, preferred political parties and leaders, and the overall development of the country. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: Canadian development; changes in savings; feelings towards the future; putting limits on debates in Parliament; the outcome of giving women more say; political preferences; the preferred size of the population; the proposed reconstruction of the Provinces; the sale of beer in grocery stores; satisfaction with the government; and the idea of going back to a two-party system in Canada. Basic demographic variables are also included. 334 - March This Gallup poll seeks the opinions of Canadians on a variety of political and social issues of importance to the country and government. Some of the subjects include political leaders, parties and issues, abortion, international development and foreign aid, and lotteries. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: abortions for physical and mental reasons; approval of the language rights bill; the court's treatment of criminals; the effectiveness of the Federal government; foreign aid; interest in international development; the legalization of sweepstakes and lotteries; militant students causing damage; political preference; a politician's right to privacy; recognizing Red China; the issue of public workers striking; the use of Medicare money; whether or not regional differences will break confederation; and if Canada will be better off if it was governed federally. Basic demographic variables are also included. 335 - May This Gallup poll seeks the opinions of Canadians on political and social issues of interest to the country and government. Topics of interest include: involvement in politics, opinions on Trudeau as prime minister, the nature of the U.S. vs Canada, livable income, how the government should raise money, U.S.-Canada relations, integrating neighbourhoods, whether Quebec will gain its independence, opinions on Nixon as president, Rene Levesque, and voting behavior. Basic demographic variables are also included. 336 - July This Gallup poll seeks the opinions of Canadians on political and social issues of interest to the country and government. There are questions about elections, world conflicts, money matters and prices. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: the cutback of NATO forces in Europe; the dispute between Arabs and Jews; the amount of government money spent on Expo '67; opinions on who gets the most profit with the increased prices of vegetables; the amount of objectionable material in the media; the opinions about John Robarts; the opinions about topless waitresses; political preferences; provinces with power; the ratings of Stanfield as leader of the opposition; whether or not some proportion of income is saved; sex education in schools, the use of alcohol; which household member decides on money matters; which family member gets a fixed amount of pocket money; and who gets profit from the increased price of meat. Basic demographic variables are also included 337 - September This Gallup poll seeks the opinions of Canadians on current issues of importance to the country and government. Some of the questions are politically-based, collecting opinions about political parties, leaders, and policies. There are also other questions of importance to the country, such as problems facing the government, and attitudes towards inflation. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: Allowing the police to go on strike; baby bonus cuts to the rich; the biggest worry for the future; the greatest problem facing the Federal government; inflation problems; will the NDP gain support; the opinion of Trudeau; the performance of the police; political preferences; the ratings of Federal MPs; the ratings of Provincial MPs; reducing the work week from 40 to 35 hours; and the Trudeau plan of efficiency. Basic demographic variables are also included. 338 - October This Gallup poll seeks the opinions of Canadians on important current events topics of the day. Many of the questions in this survey deal with predictions of social, political and economic conditions for the future. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: American power in 1970; the amount of student demonstrations; chance of atomic war by 1990; changing the voting age; Chinese power in 1970; the collapse of capitalism; the collapse of civilization; continuation of space programmes; the country with the strongest claim to the South Pole; a cure for cancer; the disappearance of Communism; economic prosperity in 1970; the amount of excitement in life; heart transplant operations; International discord in 1970; the length of life span in the future; man living on the moon; the manufacturing of H-bombs; opinions of 1969; political preferences; predictions for 1990; predictions for the future; predictions of peace in 1990; Russian power in 1970; opinions of a three day work week; and travel involving passports. Basic demographic variables are also included.The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

A data set of cross-nationally comparable microdata samples for 15 Economic Commission for Europe (ECE) countries (Bulgaria, Canada, Czech Republic, Estonia, Finland, Hungary, Italy, Latvia, Lithuania, Romania, Russia, Switzerland, Turkey, UK, USA) based on the 1990 national population and housing censuses in countries of Europe and North America to study the social and economic conditions of older persons. These samples have been designed to allow research on a wide range of issues related to aging, as well as on other social phenomena. A common set of nomenclatures and classifications, derived on the basis of a study of census data comparability in Europe and North America, was adopted as a standard for recoding. This series was formerly called Dynamics of Population Aging in ECE Countries. The recommendations regarding the design and size of the samples drawn from the 1990 round of censuses envisaged: (1) drawing individual-based samples of about one million persons; (2) progressive oversampling with age in order to ensure sufficient representation of various categories of older people; and (3) retaining information on all persons co-residing in the sampled individual''''s dwelling unit. Estonia, Latvia and Lithuania provided the entire population over age 50, while Finland sampled it with progressive over-sampling. Canada, Italy, Russia, Turkey, UK, and the US provided samples that had not been drawn specially for this project, and cover the entire population without over-sampling. Given its wide user base, the US 1990 PUMS was not recoded. Instead, PAU offers mapping modules, which recode the PUMS variables into the project''''s classifications, nomenclatures, and coding schemes. Because of the high sampling density, these data cover various small groups of older people; contain as much geographic detail as possible under each country''''s confidentiality requirements; include more extensive information on housing conditions than many other data sources; and provide information for a number of countries whose data were not accessible until recently. Data Availability: Eight of the fifteen participating countries have signed the standard data release agreement making their data available through NACDA/ICPSR (see links below). Hungary and Switzerland require a clearance to be obtained from their national statistical offices for the use of microdata, however the documents signed between the PAU and these countries include clauses stipulating that, in general, all scholars interested in social research will be granted access. Russia requested that certain provisions for archiving the microdata samples be removed from its data release arrangement. The PAU has an agreement with several British scholars to facilitate access to the 1991 UK data through collaborative arrangements. Statistics Canada and the Italian Institute of statistics (ISTAT) provide access to data from Canada and Italy, respectively. * Dates of Study: 1989-1992 * Study Features: International, Minority Oversamples * Sample Size: Approx. 1 million/country Links: * Bulgaria (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02200 * Czech Republic (1991), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06857 * Estonia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06780 * Finland (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06797 * Romania (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06900 * Latvia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02572 * Lithuania (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03952 * Turkey (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03292 * U.S. (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06219

This dataset covers ballots 280-83, and 285, spanning January, March, May, July, and November 1960. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 280 - January This Gallup poll looks to collect the opinions and ideas of Canadians on subjects of interest and importance to the country. Some of these important topics concern unions, strikes, defence policy and old age pensions. There are also several variables that deal with religious and moral questions like the afterlife and capital punishment. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: advertisements; the afterlife; big business influencing laws; Canadian Pension Plan (CPP) benefits; capital punishment abolishment; church attendance; defence policy; Diefenbaker's performance as Prime Minister; family issues; the Federal election; the frequency of the respondents reading the Bible; labour influencing laws; magazine advertisements; the North Atlantic Treaty Organization (NATO); newspaper advertisements; whether CPP payments should be paid to ex-patriots; radio commercials; railroad workers pay raises; the truthfulness of radio commercials; union membership; and voting behaviour. Basic demographics variables are also included. 281 - March This Gallup poll seeks the opinions of Canadians on various topics. Included in the discussion are questions about problems facing the country and their solutions, sweepstakes, marriage, divorce, and issues involving the employment of women. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: belief in Hell; birth control information; canned laughter on television; credit cards and purchases; divorce; employment equity; federal elections; goods produced by different countries; marriage issues; the population explosion; quarrels in marriage; the United Nations; voting behaviour; women's fashion; and working women. Basic demographics variables are also included. 282 - May This Gallup poll seeks the opinions of Canadians on leading topics of the day. The primary subjects of this survey are politics and foreign affairs. In addition to asking questions of a political nature dealing specifically with Canada and its politicians, the survey aims to collect the opinions on policies, leaders, and relations with Canada of other countries, mainly the United States. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social groups. Topics of interest include: alcohol consumption; American foreign policy; anti Jewish feelings; bomb shelter; C.C.F. party; Conservative party; Diefenbaker's performance as Prime Minister; federal elections; friction between Canada and the United States; Liberal party; likelihood of another world war; likelihood of Nazis returning to power; marriage issues; preferred political parties; the prosperity of Canada; Social Credit party; union membership; United States; voting behaviour; and preparedness in the event of war. Basic demographics variables are also included. 283 - July This Gallup poll seeks the opinions of Canadians on various topics. Included in the discussion are questions about problems facing the country and their solutions, issues involving unemployment, US presidential elections, political party preference, and ways to prevent war. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: alcohol consumption; world conflicts; personal savings; John Diefenbaker, voting behaviour; neutral and non neutral countries; federal elections; power of the Provinces; immigration; and union membership. Basic demographics variables are also included. 285 - November This Gallup poll seeks to attain the views Canadians have of primarily political subjects. The majority of questions are about Canadian politics, and Canadian relations with the United States. There are also some questions about some other leading issues of the day, including birth control, and seeing movies on Sunday. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: the American president; whether birth control is right or wrong; Diefenbaker's performance as Prime Minister; federal elections; whether movie theatres should be open on Sundays; price predictions; socialism for Canada; unemployment predictions; union membership; and voting behaviour. Basic demographics variables are also included.The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

Social vulnerability is defined as the disproportionate susceptibility of some social groups to the impacts of hazards, including death, injury, loss, or disruption of livelihood. In this dataset from Climate Ready Boston, groups identified as being more vulnerable are older adults, children, people of color, people with limited English proficiency, people with low or no incomes, people with disabilities, and people with medical illnesses. Source:The analysis and definitions used in Climate Ready Boston (2016) are based on "A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston." Published 2015 in the International Journal of Disaster Risk Reduction by Atyia Martin, Northeastern University.Population Definitions:Older Adults:Older adults (those over age 65) have physical vulnerabilities in a climate event; they suffer from higher rates of medical illness than the rest of the population and can have some functional limitations in an evacuation scenario, as well as when preparing for and recovering from a disaster. Furthermore, older adults are physically more vulnerable to the impacts of extreme heat. Beyond the physical risk, older adults are more likely to be socially isolated. Without an appropriate support network, an initially small risk could be exacerbated if an older adult is not able to get help.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for population over 65 years of age.Attribute label: OlderAdultChildren: Families with children require additional resources in a climate event. When school is cancelled, parents need alternative childcare options, which can mean missing work. Children are especially vulnerable to extreme heat and stress following a natural disaster.Data source: 2010 American Community Survey 5-year Estimates (ACS) data by census tract for population under 5 years of age.Attribute label: TotChildPeople of Color: People of color make up a majority (53 percent) of Boston’s population. People of color are more likely to fall into multiple vulnerable groups aswell. People of color statistically have lower levels of income and higher levels of poverty than the population at large. People of color, many of whom also have limited English proficiency, may not have ready access in their primary language to information about the dangers of extreme heat or about cooling center resources. This risk to extreme heat can be compounded by the fact that people of color often live in more densely populated urban areas that are at higher risk for heat exposure due to the urban heat island effect.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract: Black, Native American, Asian, Island, Other, Multi, Non-white Hispanics.Attribute label: POC2Limited English Proficiency: Without adequate English skills, residents can miss crucial information on how to preparefor hazards. Cultural practices for information sharing, for example, may focus on word-of-mouth communication. In a flood event, residents can also face challenges communicating with emergency response personnel. If residents are more sociallyisolated, they may be less likely to hear about upcoming events. Finally, immigrants, especially ones who are undocumented, may be reluctant to use government services out of fear of deportation or general distrust of the government or emergency personnel.Data Source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract, defined as speaks English only or speaks English “very well”.Attribute label: LEPLow to no Income: A lack of financial resources impacts a household’s ability to prepare for a disaster event and to support friends and neighborhoods. For example, residents without televisions, computers, or data-driven mobile phones may face challenges getting news about hazards or recovery resources. Renters may have trouble finding and paying deposits for replacement housing if their residence is impacted by flooding. Homeowners may be less able to afford insurance that will cover flood damage. Having low or no income can create difficulty evacuating in a disaster event because of a higher reliance on public transportation. If unable to evacuate, residents may be more at risk without supplies to stay in their homes for an extended period of time. Low- and no-income residents can also be more vulnerable to hot weather if running air conditioning or fans puts utility costs out of reach.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for low-to- no income populations. The data represents a calculated field that combines people who were 100% below the poverty level and those who were 100–149% of the poverty level.Attribute label: Low_to_NoPeople with Disabilities: People with disabilities are among the most vulnerable in an emergency; they sustain disproportionate rates of illness, injury, and death in disaster events.46 People with disabilities can find it difficult to adequately prepare for a disaster event, including moving to a safer place. They are more likely to be left behind or abandoned during evacuations. Rescue and relief resources—like emergency transportation or shelters, for example— may not be universally accessible. Research has revealed a historic pattern of discrimination against people with disabilities in times of resource scarcity, like after a major storm and flood.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for total civilian non-institutionalized population, including: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty. Attribute label: TotDisMedical Illness: Symptoms of existing medical illnesses are often exacerbated by hot temperatures. For example, heat can trigger asthma attacks or increase already high blood pressure due to the stress of high temperatures put on the body. Climate events can interrupt access to normal sources of healthcare and even life-sustaining medication. Special planning is required for people experiencing medical illness. For example, people dependent on dialysis will have different evacuation and care needs than other Boston residents in a climate event.Data source: Medical illness is a proxy measure which is based on EASI data accessed through Simply Map. Health data at the local level in Massachusetts is not available beyond zip codes. EASI modeled the health statistics for the U.S. population based upon age, sex, and race probabilities using U.S. Census Bureau data. The probabilities are modeled against the census and current year and five year forecasts. Medical illness is the sum of asthma in children, asthma in adults, heart disease, emphysema, bronchitis, cancer, diabetes, kidney disease, and liver disease. A limitation is that these numbers may be over-counted as the result of people potentially having more than one medical illness. Therefore, the analysis may have greater numbers of people with medical illness within census tracts than actually present. Overall, the analysis was based on the relationship between social factors.Attribute label: MedIllnesOther attribute definitions:GEOID10: Geographic identifier: State Code (25), Country Code (025), 2010 Census TractAREA_SQFT: Tract area (in square feet)AREA_ACRES: Tract area (in acres)POP100_RE: Tract population countHU100_RE: Tract housing unit countName: Boston Neighborhood

BackgroundSocial isolation and loneliness (SIL) are complex issues that impact mental and physical wellbeing and are significant public health concerns. People from minority ethnic backgrounds living in Organisation for Economic Cooperation and Development (OECD) member states may be particularly vulnerable to experiencing SIL. This is due to various challenges associated with life in foreign countries, including cultural differences, settlement issues, low incomes, and discrimination. While many interventions have been developed to address SIL in the general population, there is little information about interventions designed for minority ethnic populations in OECD countries. Our study aimed to 1) Investigate existing interventions for minority ethnic communities in OECD countries; 2) Assess how these interventions are conceptualised to increase awareness of SIL risks on health factors.3) Explore culturally sensitive approaches in these interventions, and 4) Identify the most effective interventions in reducing SIL in minority ethnic populations.Methods and findingsWe searched Medline, APA PsycINFO, Psychology and Behavioural Sciences Collection, CINAHL, Web of Science, and Scopus from their inception to September 19th, 2023, and registered the scoping review at https://osf.io/fnrvc. Our search yielded 10,479 results, of which 12 studies were included: five RCTs, six non-randomized quasi-experimental studies, and one qualitative study. Interventions were grouped into four main categories: social facilitation, befriending, leisure and skills development, and health education programmes. While only a few interventions targeted minority ethnic populations specifically, our findings highlight the potential of culturally sensitive interventions in reducing social isolation and loneliness among minority ethnic communities in OECD countries. However, given the type and extent of evidence, it is still unclear which interventions are superior in reducing SIL in minority ethnic populations in OECD countries. Further research is necessary to understand which activities may be most effective for which communities. Such interventions should be designed and tailored to account for the broader risk implications of SIL to raise awareness of the population’s peculiar health risk profile.DiscussionInterventions designed to address SIL among minority ethnic groups in OECD member states are scarce and have not been designed to account for the health risks profile of the population. Integrated research designs involving groups linked with minority ethnic populations are needed to link individual, community, and societal factors alongside population risk profiles for increased recognition of SIL as an important health factor.

This map shows a simple summary of the social vulnerability of populations in the United States. Using Census 2010 information, the map answers the question “Where are the areas of relatively greater potential impact from disaster events within the U.S.?” from the perspective of social vulnerability to hazards. In other words, all areas of the U.S. are assessed relative to each other. Local and regional assessments of social vulnerability should apply the same model to their multi-county or multi-state region. For emergency response planning and hazard mitigation, populations can be assessed by their vulnerability to various hazards (fire, flood, etc). Physical vulnerability refers to a population’s exposure to specific potential hazards, such as living in a designated flood plain. There are various methods for calculating the potential or real geographic extents for various types of hazards. Social vulnerability refers to sensitivity to this exposure due to population and housing characteristics: age, low income, disability, home value or other factors. The social vulnerability score presented in this web service is based upon a 2000 article from the Annals of the Association of American Geographers which sums the values of 8 variables as a surrogate for "social vulnerability". For example, low-income seniors may not have access to a car to simply drive away from an ongoing hazard such as a flood. A map of the flood’s extent can be overlaid on the social vulnerability layer to allow planners and responders to better understand the demographics of the people affected by the hazard. This map depicts social vulnerability at the block group level. A high score indicates an area is more vulnerable. This web service provides a simplistic view of social vulnerability. There are more recent methods and metrics for determining and displaying social vulnerability, including the Social Vulnerability Index (SoVI) which capture the multi-dimensional nature of social vulnerability across space. See www.sovius.org for more information on SoVI. The refereed journal article used to guide the creation of the model in ModelBuilder was: Cutter, S. L., J. T. Mitchell, and M. S. Scott, 2000. "Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South Carolina." Annals of the Association of American Geographers 90(4): 713-737. Additionally, a white paper used to guide creation of the model in ModelBuilder was "Handbook for Conducting a GIS-Based Hazards Assessment at the County Level" by Susan L. Cutter, Jerry T. Mitchell, and Michael S. Scott.Off-the-shelf software and data were used to generate this index. ModelBuilder in ArcGIS 10.1 was used to connect the data sources and run the calculations required by the model.-------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

Against the background of the Corona crisis, this study explored the causes, reasons and typical occasions for disenchantment with politics. In particular, the question was investigated of which developments those disenchanted with politics feel threatened by, what role the Corona pandemic and global trends such as migration, digitalisation and globalisation play in this, but also developments in society as a whole, fears of social decline and personal experiences. Prior to the population survey, a comprehensive qualitative survey in the form of online group discussions was conducted with people who are generally dissatisfied with politics in Germany. The results from this research step served as the basis for the development of the population survey instrument. The basic population for the representative survey was the German-speaking resident population in private households aged 16 and over with online access throughout Germany. A total of N = 2,015 people were surveyed between 11 and 18 September 2020. In order to identify the target group of those disaffected with politics, general attitudes towards politics, the political system and its protagonists were surveyed at the beginning of the survey. Another focus of the survey was on political information behaviour, media use and the assessment of the credibility of individual media. Dealing with so-called conspiracy theories and false news, especially about the corona virus, is also addressed.
1. General attitudes and satisfaction with current politics: satisfaction with politics in Germany; two most important problems in Germany (open); confidence regarding the solution of the problem named in rank 1 in Germany; attitudes towards individual policy areas and disenchantment with politics.

1. Life satisfaction and future prospects: Satisfaction with selected areas of life (life as a whole, income, health, relationship with family and friends); influence of politics on personal life satisfaction; deprivation; breaks in biography in recent years; reason for this change (open); satisfaction with politics on the basis of pairs of opposites (angry - calm, disappointed - satisfied, indifferent - interested, worried - optimistic); individual and political hopes and fears for the future with regard to the following aspects: personal future as a whole, development of personal financial situation, development of nature and environment, influx of refugees and migrants to Germany, dealing with the Corona pandemic in Germany, development of democracy in Germany as a whole, increasing digitalisation of life, globalisation and worldwide networking of the economy; comparison of the standard of living in the neighbourhood with that of people in Germany as a whole.

2. Attitudes to social order politics and democracy: assessment of democracy as a form of government; satisfaction with democracy in Germany; preference for state organisation (strong vs. liberal state); support for referendums on issues affecting the whole of Germany; assessment of the state of society; agreement of one´s own assessment with the majority opinion in Germany on this issue; justice in Germany today and in the 1980s; general development in Germany in the right vs. wrong direction.

3. Political participation: Participation in political activities in the last 12 months; forms of political activities; frequency of voting.

4. Institutional trust: Level of trust in institutions by sector (judiciary, environmental and aid organisations such as Greenpeace, federal government, politicians, media, police, science, local authorities, city administration, state government of the federal state, local politicians and mayors of the region, political parties, churches and religious communities); measures of the federal government for more trust (open);

Expectations of politicians based on pairs of opposites (e.g. should always speak their mind vs. should adapt their mind to new insights and situations, should try to push through their political positions with all their might vs. should also compromise sometimes, should speak directly to citizens more often vs. should take more time for substantive work, etc.).

1. Media use and their credibility: frequency of use of different media for information on local, national or international issues; assessment of the credibility of individual media.

2. Attitudes towards conspiracy theories and disinformation: attitudes towards information in alternative media; ability to distinguish between true and false news; agreement with common statements of typical conspirators (e.g. politicians don´t actually decide anything and are only controlled by lobby groups, refugee immigration is a strategy to abolish the German people, etc.); agreement with ‘alternative’ statements about the corona virus (e.g. the official data on infection figures with the corona virus in Germany are manipulated, etc.); evaluation of corona demonstrations; basic trust in people.

Demography:...

This table provides comparative data from 2015 and 2021 on the estimated population under 16 years of age in the Canary Islands due to health problems suffered in the last 12 months and social classes based on the occupation of the reference person.

The COVID-19 pandemic has impacts beyond people’s health that affect different aspects of day-to-day life. All people will be impacted in some way and must adapt to the pandemic, however men and women – or different groups of men and women – will not all be affected in the same ways. This is due to women and men play different roles and have different responsibilities in their homes and communities.

Women and girls are disproportionately impacted by crises. Women and girls are likely to: face even higher rates of domestic violence and sexual abuse; are more vulnerable to economic hardship as income generation activities women perform are disrupted; have increased unpaid in the household due to the closure of schools and have reduced access to essential health services. It is important to keep track of how all the different segments of the population are being affected by the COVID-19 pandemic and how mitigation measures are affecting people’s lives. This set of indicators has been developed to assist with that purpose.

COVID-19 response strategies that are gender responsive and socially inclusive to address the needs of women, youth, people with disabilities and other segments of the population who are more vulnerable.

The list of indicators is not mandatory nor exhaustive but, hopefully, helpful for people needing to track COVID-19 responses and impacts. The indicators cover seven areas: 1. Health impacts of the COVID-19 pandemic. 2. Participation of women, youth, and people with disability in decision making. 3. Sexual and reproductive health. 4. Domestic violence. 5. Economic security. 6. Food security. 7. Unpaid care work.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Data for year of entry of the native population reflect the year of entry into the U.S. by people who were born in Puerto Rico or U.S. Island Areas or born outside the U.S. to a U.S. citizen parent and who subsequently moved to the U.S..Foreign born excludes people born outside the United States to a parent who is a U.S. citizen..Occupation titles and their 4-digit codes are based on the 2018 Standard Occupational Classification..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Attitude towards the EU and EU enlargement.

Topics: life satisfaction; subjective rating of the development of the general life situation, the economic situation, the financial situation of the household, personal job situation, national labor market situation and the personal professional outlook in the coming year; native language; knowledge of foreign languages; frequency of political discussions with friends; self-rated opinion leadership; frequency of news consumption (television, newspaper and radio); interest in following news topics: local and national politics, social issues, EU, economics, sports, the environment, foreign politics, culture; spontaneous associations with the EU; general attitude towards the EU; knowledge of international institutions and trust into these institutions: UN, UNESCO, NATO, EU, European Parliament, European Commission, OSCE, Council of Europe, European Court of Human Rights, International Court of Justice; Self-rated knowledge about the EU (scale); awareness of application for EU membership by own country; accession to EU of own country as a good thing; approval of EU membership of own country if a referendum was held; advantageousness of EU accession for the own country, the own person and following groups: people with and without foreign language skills, entrepreneurs, politicians, professionals such as doctors or lawyers, young people, children, employees, industrial workers, medium-sized businesses, teachers, civil servants, middle-aged people, farmers, the rural population, the unemployed, pensioners, elderly, population of the capital, cultural, religious and other minorities; some regions benefit more than others, all population groups; agreement with the following statements: accession of the own country would be beneficial for the EU, increasing size of EU increases security and peace, would promote the national economy, increase the influence of the own country in Europe, satisfaction of the national government accession policy, increasing influence of the EU in the world if number of members increases, historical and geographical legitimacy of EU membership of the country, increased cultural wealth and standard of living, rising unemployment due to EU enlargement; expected and desired EU accession year of the own country; consent to possible EU accession of Bulgaria, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia, Slovenia and Turkey; EU or own country as preferred decision-making authority for the following policies: defense, environmental protection, currency, Humanitarian Aid, health and welfare, broadcasting and press, poverty reduction, combating unemployment, agriculture and fisheries, regional compensation, education, science and technology, information on EU , non-European foreign policy, culture, immigration, asylum, fighting against organized crime, police, justice, refugee resettlement, combat of youth delinquency, urban crime and human trafficking, the fight against drugs; preferred source of information about the EU; desire for additional information on the following topics: history of the EU, the EU institutions, European Economic and Monetary Union, Euro, European economy, European single market, further financial / economic issues, agriculture in the EU, European Foreign and Security Policy, international relations of the EU; regional policy of the EU, the European budget, European research and development policy, education policy, cultural policy, youth policy, EU citizenship, consumer protection and environmental protection in the EU, European social policy.

Demography: nationality; family situation; age at end of education; gender; age; occupation; professional position; degree of urbanization; household size; possession of durable goods, role of respondent in the household: main breadwinner, responsible for purchases and household maintenance, religious affiliation, frequency of church attendance, household income

Background: Digital data sources have become ubiquitous in modern culture in the era of digital technology but often tend to be under-researched because of restricted access to data sources due to fragmentation, privacy issues, or industry ownership, and the methodological complexity of demonstrating their measurable impact on human health. Even though new big data sources have shown unprecedented potential for disease diagnosis and outbreak detection, we need to investigate results in the existing literature to gain a comprehensive understanding of their impact on and benefits to human health.Objective: A systematic review of systematic reviews on identifying digital data sources and their impact area on people's health, including challenges, opportunities, and good practices.Methods: A multidatabase search was performed. Peer-reviewed papers published between January 2010 and November 2020 relevant to digital data sources on health were extracted, assessed, and reviewed.Results: The 64 reviews are covered by three domains, that is, universal health coverage (UHC), public health emergencies, and healthier populations, defined in WHO's General Programme of Work, 2019–2023, and the European Programme of Work, 2020–2025. In all three categories, social media platforms are the most popular digital data source, accounting for 47% (N = 8), 84% (N = 11), and 76% (N = 26) of studies, respectively. The second most utilized data source are electronic health records (EHRs) (N = 13), followed by websites (N = 7) and mass media (N = 5). In all three categories, the most studied impact of digital data sources is on prevention, management, and intervention of diseases (N = 40), and as a tool, there are also many studies (N = 10) on early warning systems for infectious diseases. However, they could also pose health hazards (N = 13), for instance, by exacerbating mental health issues and promoting smoking and drinking behavior among young people.Conclusions: The digital data sources presented are essential for collecting and mining information about human health. The key impact of social media, electronic health records, and websites is in the area of infectious diseases and early warning systems, and in the area of personal health, that is, on mental health and smoking and drinking prevention. However, further research is required to address privacy, trust, transparency, and interoperability to leverage the potential of data held in multiple datastores and systems. This study also identified the apparent gap in systematic reviews investigating the novel big data streams, Internet of Things (IoT) data streams, and sensor, mobile, and GPS data researched using artificial intelligence, complex network, and other computer science methods, as in this domain systematic reviews are not common.

A syndemic framework examines disease interactions and the contributions of structural, social, economic, and environmental factors that synergistically interact to contribute to adverse health outcomes. Populations residing in environments with structural susceptibilities experience health disparities and syndemics to a greater extent than their less vulnerable counterparts. The interactions among the social determinants of health (SDoH) and the COVID-19 pandemic have had different results for marginalized populations and have worsened health outcomes for many in this synergistic pandemic. Also, the exposome, the exposure measures for an individual over their lifetime and how those exposures relate to the individual's health, may help to explain why some populations experience more serious cases of COVID-19 compared to other groups. The purpose of this perspective is to: (1) examine the relationship between the syndemic model and the SDoH-exposome; (2) highlight, via specific examples, the contributions of female health professionals to SDoH and the COVID-19 syndemic in response to the Women in Science Research Topic, and (3) propose health policy to address syndemic-exposome interactions to help mitigate or prevent public health challenges. By investing in policies that assure health for all populations, the investments could pay dividends in the form of a less severe syndemic next time since we are starting from a place of health and not disease. Lastly, due to the magnification of underlying societal inequities laid bare during the COVID-19 syndemic, we support the expansion of the disease-focused syndemic model to include societal syndemics, such as systemic racism.