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In 1907 the U.S. Congress created a joint commission to investigate what many Americans saw as a national crisis: an unprecedented number of immigrants flowing into the United States. Experts--women and men trained in the new field of social science--fanned out across the country to collect data on these fresh arrivals. The trove of information they amassed shaped how Americans thought about immigrants, themselves, and the nation's place in the world. Katherine Benton-Cohen argues that the Dillingham Commission's legacy continues to inform the ways that U.S. policy addresses questions raised by immigration, over a century later. Within a decade of its launch, almost all of the commission's recommendations--including a literacy test, a quota system based on national origin, the continuation of Asian exclusion, and greater federal oversight of immigration policy--were implemented into law. Inventing the Immigration Problem describes the labyrinthine bureaucracy, broad administrative authority, and quantitative record-keeping that followed in the wake of these regulations. Their implementation marks a final turn away from an immigration policy motivated by executive-branch concerns over foreign policy and toward one dictated by domestic labor politics. The Dillingham Commission--which remains the largest immigration study ever conducted in the United States--reflects its particular moment in time when mass immigration, the birth of modern social science, and an aggressive foreign policy fostered a newly robust and optimistic notion of federal power. Its quintessentially Progressive formulation of America's immigration problem, and its recommendations, endure today in almost every component of immigration policy, control, and enforcement.-- Provided by publisher

Background The suspension and/or termination of many programmes funded through the United States Agency for International Development (USAID) by the new US administration has severe short- and long-term negative impacts on the health of people worldwide. We draw attention to the termination of the Demographic and Health Surveys (DHS) Program, which includes nationally representative surveys of households, DHS, Malaria Indicator Surveys [MIS]) and health facilities (Service Provision Assessments [SPA]) in over 90 low- and middle-income countries. USAID co-funding and provision of technical support for these surveys has been shut down. Main body The impact of these disruptions will reverberate across local, regional, national, and global levels and severely impact the ability to understand the levels and changes in population health outcomes and behaviours. We highlight three key impacts on (1) ongoing data collection and data processing activities; (2) future data collection and consequent lack of population-level health indicators; and (3) access to existing data and lack of support for its use. Conclusions We call for immediate action on multiple fronts. In the short term, universal access to existing data and survey materials should be restored, and surveys which were planned or in progress should be completed. In the long term, this crisis should serve as a tipping point for transforming these vital surveys. We call on national governments, regional organisations, and international partners to develop sustainable alternatives that preserve the principles (standardised questionnaires, backward compatibility, open access data with rigorous documentation) which made the DHS Program an invaluable global health resource.

Background Most older adults prefer to continue living at home despite increasing care needs and demand for services. To aid in maintaining independence, integrated care models for community-dwelling older people are promoted as the most cost-effective approach. The implementation of such care models is challenging and often the end-users are not involved or their needs are not considered. We conducted a population survey in order to understand the needs and preferences of home-dwelling older adults living in Canton Basel-Landschaft, Switzerland. The aims of this paper are to chronicle the development of the INSPIRE Population Survey, outline its variables and measurements, describe the marketing strategy utilized for survey dissemination and report on the response rate and respondent characteristics. Methods The INSPIRE Population Survey, conducted between March and August 2019, is a cross-sectional survey of older adults aged 75 and older living at home in Canton Basel-Landschaft. The questionnaire was developed by expert input and stakeholder involvement. Its readability and acceptability were pilot-tested with older people. To ensure the likelihood of a high and representative response rate, a meticulous step-by-step marketing strategy was developed prior to the dissemination of the questionnaire. Results The overall response rate was 30.7% ( n  = 8,846), with variations between 20.6 and 34.5% across the different care regions in the canton. A generally higher response rate was found in the care regions with a higher density and which bordered the urban city of Basel. We received support from local stakeholders, policy makers and media through using a broad combination of marketing channels and targeting our community partners who have a strong relationship with our target audience. Conclusions Although recruiting older adults in research is challenging, our study shows that a high response rate can be achieved by developing the survey through expert input and by involving all important stakeholders, including older adults, throughout the entire process.

Introduction: Family planning includes a wide range of services, such as counseling, contraception, and support to couples. Evidence shows that developing countries have a high degree of inequality in contraception use and prevalence. Reasons for these inequalities include cultural barriers such as traditional preferences and a desire for larger families and lineage, especially in rural areas. The primary objective of this research was to examine the updated contraceptive method preferences of couples in rural and urban regions of Pakistan and how these translate to family planning practices among the different provinces. Methods: A secondary survey analysis using the Pakistan Demographic and Health Survey 2019 survey data was conducted. The dataset included 15 143 women sampled proportionally from the provinces, including Gilgit Baltistan and Azad Jammu and Kashmir. The unit of analysis was 'women' from the individual survey dataset. Age, type of residence (rural, urban), division, education level, and language were used to evaluate access to family planning and contraception services. The c test assessed the relationship between dependent and independent variables. Multivariate logistic regression analysis was then performed to see the likelihood of contraceptive use among women. Results: Of the women in the sample, 55% were from rural areas and 50% were without formal education; 51.7% of these women were using or practicing any form of contraception method. The most common method used was condoms (9.2%), followed by injectables (6.2%). Regression analysis showed that women aged 15-19 years were less likely (odds ratio (OR)equivalent0.71, 95% confidence interval (CI)equivalent0.51-1.01) to use contraception when compared to the reference group. The likelihood of contraceptive use was higher in urban areas (ORequivalent1.53, 95%Clequivalent1.39-1.69). Noticeably, contraceptive use was less likely in uneducated women (ORequivalent0.62, 95%Clequivalent0.56-070). Punjab province had the highest contraceptive prevalence (34.3%), whereas Baluchistan had the lowest (6.9%). The use of contraception in urban and rural populations was similar in all provinces except Sindh and Gilgit Baltistan. In urban and rural areas, women in the age group 30-35 years who use contraception show a prevalence of 21% and 22% respectively. Conclusion: The study highlights suboptimal use of contraceptives and the existence of high levels of inequalities among the regions. There is a need for the implementation of focused educational initiatives and counseling interventions along with prioritization of accessibility and affordability of contraceptive methods among women in lower socioeconomic regions

Background In Sub-Saharan Africa, reliable data on the burden, clinical epidemiology and management of snakebites remains scarce. Mostly, crude population and institution-based estimates have been reported. The aim of this study was to estimate the burden and describe the epidemiological and clinical characteristics of snakebite envenoming based on population- (HDSS) data. Methods A cross-sectional snakebite survey was conducted in all households in the Ahondo Health Area (AHA), a sub-population of the Taabo Health and Demographic Surveillance System (HDSS) between October 2 to December 22, 2023. All household members were interviewed, and a questionnaire was administered to snakebite cases. Epidemiological and clinical characteristics were described, and the annual snakebite incidence calculated. Results 795 households were surveyed, representing 3,924 people in the AHA. The annual incidence of snakebites per 100,000 population was 280.3 (CI: 140.0 - 501.0), the case-fatality rate 2.0% (95%CI: 0.04 - 10.5) and the median age of snakebite victims 43 years. The annual incidence of snakebites was significantly higher in the seasonally used agricultural camps (3296.7 cases per 100,000 inhabitants) than in the villages (208.7 cases per 100,000 inhabitants). Snakebites most frequently occurred in the morning and at night. Patients employed dangerous \"first aid\" measures. Most snakebite victims were treated by traditional healers. None of the cases attending the health services received antivenoms. Conclusion Snakebite envenoming remains a threat for rural communities at an unacceptable high level unchanged since the second half of the last century. Reliable community-based data on the incidence, circumstances and management of snakebite envenoming is only the first step to mitigate the neglected health problem. Implementation of prevention measures, first aid and clinical management, including access to antivenoms, must immediately follow.

There has been increasing interest in measuring under-five mortality as a health indicator and as a critical measure of human development. In countries with complete vital registration systems that capture all births and deaths, under-five mortality can be directly calculated. In the absence of a complete vital registration system, however, child mortality must be estimated using surveys that ask women to report the births and deaths of their children. Two survey methods exist for capturing this information: summary birth histories and complete birth histories. A summary birth history requires a minimum of only two questions: how many live births has each mother had and how many of them have survived. Indirect methods are then applied using the information from these two questions and the age of the mother to estimate under-five mortality going back in time prior to the survey. Estimates generated from complete birth histories are viewed as the most accurate when surveys are required to estimate under-five mortality, especially for the most recent time periods. However, it is much more costly and labor intensive to collect these detailed data, especially for the purpose of generating small area estimates. As a result, there is a demand for improvement of the methods employing summary birth history data to produce more accurate as well as subnational estimates of child mortality. We used data from 166 Demographic and Health Surveys (DHS) to develop new empirically based methods of estimating under-five mortality using children ever born and children dead data. We then validated them using both in- and out-of-sample analyses. We developed a range of methods on the basis of three dimensions of the problem: (1) approximating the average length of exposure to mortality from a mother's set of children using either maternal age or time since first birth; (2) using cohort and period measures of the fraction of children ever born that are dead; and (3) capturing country and regional variation in the age pattern of fertility and mortality. We focused on improving estimates in the most recent time periods prior to a survey where the traditional indirect methods fail. In addition, all of our methods incorporated uncertainty. Validated against under-five estimates generated from complete birth histories, our methods outperformed the standard indirect method by an average of 43.7% (95% confidence interval [CI] 41.2-45.2). In the 5 y prior to the survey, the new methods resulted in a 53.3% (95% CI 51.3-55.2) improvement. To illustrate the value of this method for local area estimation, we applied our new methods to an analysis of summary birth histories in the 1990, 2000, and 2005 Mexican censuses, generating subnational estimates of under-five mortality for each of 233 jurisdictions. The new methods significantly improve the estimation of under-five mortality using summary birth history data. In areas without vital registration data, summary birth histories can provide accurate estimates of child mortality. Because only two questions are required of a female respondent to generate these data, they can easily be included in existing survey programs as well as routine censuses of the population. With the wider application of these methods to census data, countries now have the means to generate estimates for subnational areas and population subgroups, important for measuring and addressing health inequalities and developing local policy to improve child survival. Please see later in the article for the Editors' Summary.

Scaling methods have long been utilized to simplify and cluster high-dimensional data. However, the general latent spaces across all predefined groups derived from these methods sometimes do not fall into researchers' interest regarding specific patterns within groups. To tackle this issue, we adopt an emerging analysis approach called contrastive learning. We contribute to this growing field by extending its ideas to multiple correspondence analysis (MCA) in order to enable an analysis of data often encountered by social scientists-containing binary, ordinal, and nominal variables. We demonstrate the utility of contrastive MCA (cMCA) by analyzing two different surveys of voters in the U.S. and U.K. Our results suggest that, first, cMCA can identify substantively important dimensions and divisions among subgroups that are overlooked by traditional methods; second, for other cases, cMCA can derive latent traits that emphasize subgroups seen moderately in those derived by traditional methods.

Introduction: Adherence to iron–folic acid supplementation (IFAS) has been linked with maternal anaemia. While findings about determinants of IFAS adherence have been mixed across different research, there is inadequate evidence in relation to socioeconomic inequalities. This study aims to examine social determinants and socioeconomic inequalities of adherence to IFAS in urban and rural Indonesia. Methods: We conducted a secondary analysis of the 2017 Indonesia Demographic and Health Survey by including a total of 12 455 women aged 15–49 years. The outcome was adherence to IFAS for at least 90 days. We used multiple logistic regression analysis adjusted for the survey design to analyse factors associated with IFAS adherence. We estimated socioeconomic inequalities using the Wagstaff normalized concentration index and plotted them using the concentration curve. Results: About half of women consumed IFAS for at least 90 days, with a higher proportion in urban areas (59.0%) than in rural areas (47.8%). Social determinants of adherence to IFAS were similar for urban and rural women. Overall, being an older woman, having weekly internet access, antenatal care for at least four visits, and residing in Java and Bali were significantly linked to IFAS adherence. Higher maternal education was significantly linked to IFAS adherence in urban settings, but not in rural settings. There were interactions between place of residence and woman’s education (p<0.001) and household wealth (p<0.001). Concentration indices by woman’s education and household wealth were 0.102 (p<0.001) and 0.133 (p<0.001), respectively, indicating pro-educated and pro-rich inequalities. However, no significant education-related disparity was found among rural women (p=0.126). Conclusion: Women (age, education, occupation, birth number, internet access, involvement in decision-making), household (husband’s education, household wealth), health care (antenatal care visit) and community (place of residence, geographic region) factors are associated with overall adherence to IFAS. These factors influence the adherence to IFAS in a complex web of deep-seated socioeconomic inequalities. Thus, programs and interventions to improve adherence to IFAS should target women of reproductive age and their families, particularly those from socioeconomically disadvantaged groups residing in rural areas.

Since its origin 23 years ago as a pilot test conducted in four U.S. counties, the U.S. Census Bureau's American Community Survey (ACS) has been the focus of continuous research, development, and refinement. The survey cleared critical milestones 14 years ago when it began full-scale operations, including comprehensive nationwide coverage, and 5 years later when the ACS replaced a long-form sample questionnaire in the 2010 census as a source of detailed demographic and socioeconomic information. Throughout that existence and continuing today, ACS research and testing has worked to improve the survey's conduct in the face of challenges ranging from detailed and procedural to the broad and existential. This publication summarizes the presentations and discussion at the September 26-27, 2018, Workshop on Improving the American Community Survey (ACS), sponsored by the U.S. Census Bureau. Workshop participants explored uses of administrative records and third-party data to improve ACS operations and potential for boosting respondent participation through improved communication.

The American Community Survey (ACS) was conceptualized as a replacement to the census long form, which collected detailed population and housing data from a sample of the U.S. population, once a decade, as part of the decennial census operations. The long form was traditionally the main source of socio-economic information for areas below the national level. The data provided for small areas, such as counties, municipalities, and neighborhoods is what made the long form unique, and what makes the ACS unique today. Since the successful transition from the decennial long form in 2005, the ACS has become an invaluable resource for many stakeholders, particularly for meeting national and state level data needs. However, due to inadequate sample sizes, a major challenge for the survey is producing reliable estimates for smaller geographic areas, which is a concern because of the unique role fulfilled by the long form, and now the ACS, of providing data with a geographic granularity that no other federal survey could provide. In addition to the primary challenge associated with the reliability of the estimates, this is also a good time to assess other aspects of the survey in order to identify opportunities for refinement based on the experience of the first few years. Realizing the Potential of the American Community Survey provides input on ways of improving the ACS, focusing on two priority areas: identifying methods that could improve the quality of the data available for small areas, and suggesting changes that would increase the survey's efficiency in responding to new data needs. This report considers changes that the ACS office should consider over the course of the next few years in order to further improve the ACS data. The recommendations of Realizing the Potential of the American Community Survey will help the Census Bureau improve performance in several areas, which may ultimately lead to improved data products as the survey enters its next decade.