{"results":[{"id":"doaj_10.23889/ijpds.v8i6.3358","title":"Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental data","authors":[{"name":"Sabrina Chiodo"},{"name":"Sonia M. Grandi"},{"name":"Jessica Gronsbell"},{"name":"Laura C. Rosella"}],"abstract":"\nIntroduction\nPerinatal outcomes are shaped by clinical, social, and environmental factors, yet Canada lacks a nationally representative pregnancy cohort capturing these influences at the individual-level. This gap has limited the ability to address multifactorial drivers of maternal and fetal health. To fill this need, we established a linked cohort integrating survey, clinical, and contextual data to support equity-focused, precision public health research in maternal health.\n\n\nMethods\nWe linked the Canadian Community Health Survey (CCHS; 2000--2017) to the Discharge Abstract Database (DAD) using Statistics Canada's Social Data Linkage Environment. Eligible participants were female (as defined by the binary CCHS sex variable), aged 15-49 years, with a hospital delivery within two years of their CCHS interview. We excluded multifetal gestations and retained only the first delivery per individual. Area-level and environmental exposures (i.e., neighbourhood inequity, pollution, greenspace, neighbourhood walkability, etc.) were appended via residential postal codes using the Postal Code Conversion File Plus (PCCF+).\n\n\nResults\nThe cohort includes 13,360 singleton births. Pre-pregnancy data include sociodemographics, health behaviours, chronic conditions, psychosocial factors, and reproductive history. Contextual measures capture neighbourhood marginalization, air pollution, greenness, and built environment characteristics. In the CCHS, individuals who reported being pregnant at interview and those who did not (but later delivered) had similar characteristics (SMDs \u003c 0.1), except for age and marital status. Data quality is supported by Statistics Canada's survey protocols, CIHI's hospital validation processes, and standardised geocoding.\n\n\nConclusion\nApproved researchers can recreate this dataset within Statistics Canada's Research Data Centres using reproducible R code, which will become openly available on GitHub. The cohort enables research across descriptive epidemiology, causal inference, predictive modelling, and health equity evaluation, supporting investigations into multilevel determinants of maternal health. Future work should prioritise national mother--child linkages to expand life course research.\n","source":"DOAJ","year":2026,"language":"","subjects":["Demography. Population. Vital events"],"doi":"10.23889/ijpds.v8i6.3358","url":"https://ijpds.org/article/view/3358","is_open_access":true,"published_at":"","score":70},{"id":"doaj_10.4054/DemRes.2025.52.1","title":"A comprehensive database of estimates and forecasts of Spanish sex–age death rates by climate area, income level, and habitat size (2010–2050)","authors":[{"name":"Celia  Sifre-Armengol"},{"name":"Jose M. Pavía"},{"name":"Josep Lledó Benito"}],"abstract":"BACKGROUND: Analysing mortality is relevant for decision-making. Life tables have traditionally been based on age and sex, assuming homogeneous mortality rates within these groups. This omits other factors that could affect mortality risks. Advances in information technology and improved access to official microdata now enable the construction of life tables that incorporate additional variables, offering a more detailed analysis. OBJECTIVE: This paper aims to expand the classical approach of using age and sex by integrating additional risk factors related to the area of residence. Specifically, the factors of climate, habitat size, and income are considered, using detailed georeferenced population data at the census level. Additionally, we aim to estimate future central death rates using various forecasting models. METHODS: Utilising almost 2 billion microdata events from the Spanish population between 2010 and 2019, we begin by estimating new life tables that incorporate climate, habitat size, and income as risk factors. Then, after addressing random variations, erratic peaks, and the unexplained observed decline in mortality at extreme older ages, we use a triad of classical longevity models to project future mortality trends. All the generated data are offered in a public repository. CONTRIBUTION: The database introduced in this paper can be used by social planners, demographers, and insurers, as well as being employed to validate existing findings and explore new research questions, particularly within the demographic and actuarial-economic fields. ","source":"DOAJ","year":2025,"language":"","subjects":["Demography. Population. Vital events"],"doi":"10.4054/DemRes.2025.52.1","url":"https://www.demographic-research.org/volumes/vol52/1/52-1.pdf","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.23889/ijpds.v10i3.3028","title":"Hospitalisations for physical abuse in infants and children less than 5 years, 2013‒2021: a multinational cohort study using administrative data from five European countries","authors":[{"name":"Catherine Quantin"},{"name":"Jonathan Cottenet"},{"name":"Colleen Chambers"},{"name":"Natasha Kennedy"},{"name":"Sadhbh Whelan"},{"name":"Geoff Debelle "},{"name":"Diogo Lamela"},{"name":"Ulugbek Nurmatov"},{"name":"Donna O'Leary "},{"name":"Christian Torp-Pedersen"},{"name":"Sinéad Brophy"},{"name":"Marcella Broccia"},{"name":"Ruth Gilbert"},{"name":"Troels Græsholt-Knudsen"},{"name":"Laura Elizabeth Cowley"}],"abstract":"\nObjectives\nChild physical abuse (CPA) is a global public health problem associated with lifelong negative consequences, yet reliable epidemiologic data are lacking. We did a multinational cohort study to analyse trends in CPA hospitalisations between 2013 and 2021.\n\r\n\nMethod\nWe used medico-administrative databases to identify children aged one month to five years hospitalised in Denmark, England, France, Ireland, and Wales. Analysing data on more than 12 million hospitalisations, we identified CPA using a validated algorithm based on International Classification of Diseases-10 codes (ICD-10 codes). We calculated the number, proportion, and incidence rate of children hospitalised for CPA, and the number and proportion of total hospitalisations for CPA, by year and age group (\u003c1 and \u003c5). We assessed the distribution of ICD-10 codes used to identify CPA, in each country.\n\r\n\nResults\nThe pooled incidence rate of infants \u003c1 year hospitalised for CPA was stable over time (around 42/100,000 per year), ranging on average from 33 to 48/100,000 between countries. Average incidence rates for infants were highest in England and lowest in Wales. The pooled proportion of infant CPA hospitalisations was around 0.17% per year (range 0.15–0.21%), increasing significantly during the COVID-19 pandemic in 2020 (0.21%). In children \u003c5, the incidence rate (around 18/100,000 per year) and proportion of CPA hospitalisations (around 0.11% per year, range 0.10–0.14%) were lower than in infants but also increased in 2020 (0.14%). There were national differences in the distribution of ICD-10 codes used to record CPA and differences in year-on-year trends between countries.\n\r\n\nConclusions\nThis study is, to our knowledge, the first large-scale analysis examining trends in CPA hospitalisations in more than two European countries. We demonstrated that comparing temporal trends in CPA hospitalisations between countries is feasible, implying that hospital data are one of several valuable sources of information for surveillance of CPA.\n","source":"DOAJ","year":2025,"language":"","subjects":["Demography. Population. Vital events"],"doi":"10.23889/ijpds.v10i3.3028","url":"https://ijpds.org/article/view/3028","is_open_access":true,"published_at":"","score":69},{"id":"arxiv_2507.04774","title":"Population density and vegetation resources influence demography in a hibernating herbivorous mammal","authors":[{"name":"Anouch Tamian"},{"name":"Vincent A Viblanc"},{"name":"Stephen Dobson"},{"name":"Claire Saraux"}],"abstract":"Demography of herbivorous mammal populations may be affected by changes in predation, population density, harvesting, and climate. Whereas numerous studies have focused on the effect of single environmental variables on individual demographic processes, attempts to integrate the consequences of several environmental variables on numerous functional traits and demographic rates are rare. Over a 32-year period, we examined how forage availability (vegetation assessed through NDVI) and population density affected the functional traits and demographic rates of a population of Columbian ground squirrels (Urocitellus columbianus), an herbivorous hibernating rodent. We focused on mean population phenology, body mass, breeding success and survival. We found a negative effect of population density on demographic rates, including on breeding success and pup and adult survival to the next year.  We found diverging effects of vegetation phenology on demographic rates: positive effects of earlier start to growing season on adult female and juvenile survival, but no clear effect on male survival. Interestingly, neither population density nor vegetation affected population phenology or body condition in the following year. Vegetative growth rate had a positive influence on female mass gain (somatic investment) over a season, but vegetative growth rate and biomass, surprisingly, had negative effects on the survival of young through their first hibernation. Later vegetative timing during the year had a positive influence on survival for all ground squirrels. Thus, ground squirrels appeared to benefit more from later timing of vegetation than increases in vegetative biomass per se. Our study provides evidence for complex ecological effects of vegetation and population density on functional traits and demographic rates of small mammal populations.","source":"arXiv","year":2025,"language":"en","subjects":["q-bio.PE"],"url":"https://arxiv.org/abs/2507.04774","pdf_url":"https://arxiv.org/pdf/2507.04774","is_open_access":true,"published_at":"2025-07-07T08:50:24Z","score":69},{"id":"arxiv_2407.01192","title":"General collections demography model with multiple risks","authors":[{"name":"Josep Grau-Bové"},{"name":"Miriam Andrews"}],"abstract":"This note presents an Agent-Based Model (ABM) with Monte Carlo sampling, designed to simulate the behaviour of a population of objects over time. The model incorporates damage functions with the risk parameters of the ABC framework to simulate adverse events. As a result, it combines continuous and probabilistic degradation. This hybrid approach allows us to study the emergent behavior of the system and explore the range of possible lifetimes of a collection. The main outcome of the model is the decay in condition of a collection as a consequence of all the combined degradation processes. The model is based on six hypotheses that are described for further testing. This paper presents a first attempt at an universal implementation of Collections Demography principles, with the hope that it will generate discussion and the identification of research gaps.","source":"arXiv","year":2024,"language":"en","subjects":["cs.CY"],"url":"https://arxiv.org/abs/2407.01192","pdf_url":"https://arxiv.org/pdf/2407.01192","is_open_access":true,"published_at":"2024-07-01T11:33:19Z","score":68},{"id":"arxiv_2402.09761","title":"A Framework For Gait-Based User Demography Estimation Using Inertial Sensors","authors":[{"name":"Chinmay Prakash Swami"}],"abstract":"Human gait has been shown to provide crucial motion cues for various applications. Recognizing patterns in human gait has been widely adopted in various application areas such as security, virtual reality gaming, medical rehabilitation, and ailment identification. Furthermore, wearable inertial sensors have been widely used for not only recording gait but also to predict users' demography. Machine Learning techniques such as deep learning, combined with inertial sensor signals, have shown promising results in recognizing patterns in human gait and estimate users' demography. However, the black-box nature of such deep learning models hinders the researchers from uncovering the reasons behind the model's predictions. Therefore, we propose leveraging deep learning and Layer-Wise Relevance Propagation (LRP) to identify the important variables that play a vital role in identifying the users' demography such as age and gender. To assess the efficacy of this approach we train a deep neural network model on a large sensor-based gait dataset consisting of 745 subjects to identify users' age and gender. Using LRP we identify the variables relevant for characterizing the gait patterns. Thus, we enable interpretation of non-linear ML models which are experts in identifying the users' demography based on inertial signals. We believe this approach can not only provide clinicians information about the gait parameters relevant to age and gender but also can be expanded to analyze and diagnose gait disorders.","source":"arXiv","year":2024,"language":"en","subjects":["cs.HC","cs.LG","eess.SP"],"url":"https://arxiv.org/abs/2402.09761","pdf_url":"https://arxiv.org/pdf/2402.09761","is_open_access":true,"published_at":"2024-02-15T07:23:34Z","score":68},{"id":"arxiv_2410.09041","title":"Inferring birth versus death dynamics for ecological interactions in stochastic heterogeneous populations","authors":[{"name":"Erin Beckman"},{"name":"Heyrim Cho"},{"name":"Linh Huynh"}],"abstract":"In this paper, we study the significance of ecological interactions and separation of birth and death dynamics in stochastic heterogeneous populations via general birth-death processes. Interactions can manifest through the birth dynamics, the death dynamics, or some combination of the two. The underlying microscopic mechanisms are important but often implicit in population-level data. We propose an inference method for disambiguating the types of interaction and the birth and death processes from population size time series data of a stochastic $n$-type heterogeneous population. The interspecies interactions considered can be competitive, antagonistic, or mutualistic. We show that different pairs of birth and death rates with the same net growth rate result in different time series statistics. Then, the inference method is validated in the example of a birth-death process inspired by the two-type Lotka-Volterra interaction dynamics. Utilizing stochastic fluctuations enables us to estimate additional parameters in this stochastic Lotka-Volterra model, which are not identifiable in a deterministic model.","source":"arXiv","year":2024,"language":"en","subjects":["q-bio.PE","math.PR"],"doi":"10.1007/s11538-025-01477-3","url":"https://arxiv.org/abs/2410.09041","pdf_url":"https://arxiv.org/pdf/2410.09041","is_open_access":true,"published_at":"2024-10-11T17:55:48Z","score":68},{"id":"doaj_10.23889/ijpds.v8i2.2334","title":"What can we learn from administrative benefits data?","authors":[{"name":"Juliet-Nil Uraz`"},{"name":"Mary-Alice Doyle"},{"name":"Magdalena Rossetti-Youlton"}],"abstract":"\nWe present the opportunities and limitations of administrative benefits data held by local authorities for data linkage projects. Whilst the richness of this data has been exploited by practitioners for administration, its potential remains little explored by researchers. We discuss data quality, sample selection and legal gateways for data sharing.\n\r\n\nDrawing on our experience working with over 40 local authorities, we present the structure of three datasets: the Council Tax Reduction Scheme, the Single Housing Benefits Extract and the Universal Credit Data Share. We show what variables are usually included, under which legal gateways this data can be shared and how the cohorts represented within the data compare with the low-income population. We discuss how these datasets can be linked at the household level with a number of other data held by local authorities such as social rent and Council Tax arrears, Housing Benefit overpayments and Discretionary Housing Payments (DHPs).\n\r\n\nAdministrative benefits data provides a comprehensive snapshot of a household’s financial situation. Local authorities can proactively use and share this data with external data processors to fulfil their statutory duties if a legal gateway allows. By identifying households at risk of cash shortfalls before they reach a crisis point, councils can target support when administering local welfare schemes and preventing homelessness. By assessing eligibility for benefits, they can run data-driven uptake campaigns. This data captures a proportion of the population on national and local benefits within a local authority at several points in time. Attrition is of concern since households may leave datasets over time. Some will see their income rise and no longer qualify for benefits. Others will move out of the constituency.\n\r\n\nLocal authorities routinely process longitudinal data on households receiving means-tested benefits by administering housing benefits, council tax support, and discretionary support funds. This data provides a unique real-time insight into the socioeconomic situation of low-income households. Yet, we show that its promising potential for policy research remains largely untapped.\n","source":"DOAJ","year":2023,"language":"","subjects":["Demography. Population. Vital events"],"doi":"10.23889/ijpds.v8i2.2334","url":"https://ijpds.org/article/view/2334","is_open_access":true,"published_at":"","score":67},{"id":"doaj_10.23889/ijpds.v8i2.2347","title":"Generation Scotland: Linking all the records we can","authors":[{"name":"Archie Campbell"},{"name":"Robin Flaig"},{"name":"Cathie Sudlow"}],"abstract":"\nObjectives\nWe started a family-based genetic epidemiology study in 2006-11 which recruited ~24,000 adult volunteers from ~7000 families across Scotland with consent for follow-up through medical record linkage and re-contact. In 2022-23 we are recruiting another 20,000, with consent extended to administrative records, with age range now 12+.\n\r\n\nMethods\nOriginal volunteers completed a demographic, health and lifestyle questionnaire, provided biological samples, and underwent detailed clinical assessment. The samples, phenotype and genotype data form a resource for research on the genetics of conditions of public health importance. This has become a longitudinal dataset by linkage to routine NHS hospital, maternity, lab test, prescriptions, dentistry, mortality, imaging, cancer screening, GP data records, Covid-19 testing and vaccinations, as well as follow-up questionnaires. The new wave of recruitment is all online and can be done on a smartphone, with DNA from saliva collected by post. Teenagers aged 12-15 can join with parental consent.\n\r\n\nResults \nGWAS has been done on quantitative traits and biomarkers, with DNA methylation data and proteomics available for most of the cohort. Our “CovidLife” surveys collected data on effects of the pandemic.\n\r\n\nResearchers can find prevalent and incident disease cases and controls, to test research hypotheses on a stratified population. They can also do targeted recruitment of participants to new studies, including recall by genotype. We have established and validated E-HR linkage with the NHS Scotland CHI Register,,overcoming technical and governance issues in the process. We contribute to major international consortia, with collaborators from institutions worldwide, both academic and commercial. Recruits are asked to give consent to linkage to other administrative data, and reuse of samples from routine NHS tests for medical research.\n\r\n\nConclusion \nWe plan to extend the linkage process to include other administrative data from national datasets as and when approvals are obtained. New types of data can also be collected by online questionnaires. The Research Tissue Bank resources are available to academic and commercial researchers through a managed access process.\n","source":"DOAJ","year":2023,"language":"","subjects":["Demography. Population. Vital events"],"doi":"10.23889/ijpds.v8i2.2347","url":"https://ijpds.org/article/view/2347","is_open_access":true,"published_at":"","score":67},{"id":"arxiv_2301.01710","title":"Optimization of the Analysis of Vital Events Using Threads","authors":[{"name":"Rubi Melania Coasaca Callacondo"},{"name":"Grylia Yaneth Chata Iscarra"},{"name":"Fred Torres-Cruz"}],"abstract":"Objective: Optimize the time of data analysis of Vital Events (births, deaths and marriages) using Threads. Methodology: A code was created in python without threads and another with threads, after He performed 5 tests with a single attribute and with 1,2,3,4,5,6,7,8 and 9 attributes this was done in both codes with the same amount of data, to know if the python code with threads is optimal when parsing Vital Facts data. Results: The python code with Threads turned out to be the most optimal since it optimized the compilation time of the 5 tests with 1 attribute by 16attributes was obtained as a result that the more attributes you group, the more effective the use of threads. Conclusion: Python code with threads is more optimal than code without threads Therefore, it is concluded that the implementation of threads is recommended in the analysis of data in similar works.","source":"arXiv","year":2023,"language":"en","subjects":["cs.DC"],"url":"https://arxiv.org/abs/2301.01710","pdf_url":"https://arxiv.org/pdf/2301.01710","is_open_access":true,"published_at":"2023-01-04T17:16:07Z","score":67},{"id":"doaj_10.2298/STNV2201069G","title":"Opadanje obrazovne hipergamije u bivšim jugoslovenskim republikama","authors":[{"name":"Vera Gligorijević"},{"name":"Damjan Bakić"}],"abstract":"\nU radu se istražuju promene obrazovnog sastava bračnih partnera u bivšim jugoslovenskim republikama, posebno opadanje učešća brakova u kojima su muškarci obrazovaniji od žena (hipergamni brakovi). U osnovi ovih promena jeste razvoj tercijarnog obrazovanja i nastanak polne asimetrije visokoobrazovanih lica, usled kojih je u prve dve decenije XX veka došlo do porasta učešća bračnih zajednica u kojima su žene obrazovanije. Analiza se pretežno temelji na podacima Demografske (vitalne) statistike, a period koji je obuhvaćen istraživanjem odnosi se na poslednjih pedeset godina. Koristeći se specifičnim pokazateljima (F i H indeksom) i korelacionom analizom, dobijeni su rezultati koji su pokazali da obrazovna hipergamija opada u svim istraživanim zemljama, kao i da je opadanje hipergamije povezano sa prevagom žena među visokoobrazovanim licima. Rezultati daju nove uvide u tumačenje izbora partnera posredstvom socioekonomskih karakteristika, ali i ukazuju na ključnu ulogu koju u procesu selekcije ima obrazovna kompozicija stanovništva.\n","source":"DOAJ","year":2022,"language":"","subjects":["Demography. Population. Vital events"],"doi":"10.2298/STNV2201069G","url":"https://stnv.idn.org.rs/STNV/article/view/476","is_open_access":true,"published_at":"","score":66},{"id":"arxiv_2209.05460","title":"Data Innovation in Demography, Migration and Human Mobility","authors":[{"name":"Claudio Bosco"},{"name":"Sara Grubanov-Boskovic"},{"name":"Stefano Iacus"},{"name":"Umberto Minora"},{"name":"Francesco Sermi"},{"name":"Spyridon Spyratos"}],"abstract":"With the consolidation of the culture of evidence-based policymaking, the availability of data has become central to policymakers. Nowadays, innovative data sources offer an opportunity to describe demographic, mobility, and migratory phenomena more accurately by making available large volumes of real-time and spatially detailed data. At the same time, however, data innovation has led to new challenges (ethics, privacy, data governance models, data quality) for citizens, statistical offices, policymakers and the private sector. Focusing on the fields of demography, mobility, and migration studies, the aim of this report is to assess the current state of data innovation in the scientific literature as well as to identify areas in which data innovation has the most concrete potential for policymaking. Consequently, this study has reviewed more than 300 articles and scientific reports, as well as numerous tools, that employed non-traditional data sources to measure vital population events (mortality, fertility), migration and human mobility, and the population change and population distribution. The specific findings of our report form the basis of a discussion on a) how innovative data is used compared to traditional data sources; b) domains in which innovative data have the greatest potential to contribute to policymaking; c) the prospects of innovative data transition towards systematically contributing to official statistics and policymaking.","source":"arXiv","year":2022,"language":"en","subjects":["cs.CY"],"doi":"10.2760/027157","url":"https://arxiv.org/abs/2209.05460","pdf_url":"https://arxiv.org/pdf/2209.05460","is_open_access":true,"published_at":"2022-09-05T07:55:07Z","score":66},{"id":"doaj_10.2478/bog-2021-0034","title":"Determinants of farmland prices and their local variation","authors":[{"name":"Lee Changro"}],"abstract":"The setting of farmland prices in the market not only reflects existing agricultural activities but also expected potential for development. This study decomposes farmland prices into values representative of current agricultural production and the prospective development potential at the county level in South Korea. The income value of farmland is derived by analysing agricultural revenue and production cost, and the sale value of farmland is estimated by reviewing transaction prices filed with the administrative authority. The difference between income value and sale value is adopted as the development value in this study. The results of the estimation show that the proportion of development value in the price of farmland is remarkably high, with a median proportion of 0.78, indicating that the threat of converting land to non-agricultural use is non-trivial because it remains a financially attractive alternative. In addition, the magnitude of the portion of the development value in the price of farmland varies considerably across counties depending on the distance to nearby metropolitan cities. This implies that agricultural policy should be designed in a locally optimised manner to effectively restrain the conversion of farmland for urban use.","source":"DOAJ","year":2021,"language":"","subjects":["Demography. Population. Vital events","Cities. Urban geography"],"doi":"10.2478/bog-2021-0034","url":"https://doi.org/10.2478/bog-2021-0034","is_open_access":true,"published_at":"","score":65},{"id":"arxiv_2107.10469","title":"What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis","authors":[{"name":"Thi Ngoc Tho Nguyen"},{"name":"Karn N. Watcharasupat"},{"name":"Zhen Jian Lee"},{"name":"Ngoc Khanh Nguyen"},{"name":"Douglas L. Jones"},{"name":"Woon Seng Gan"}],"abstract":"Sound event localization and detection (SELD) is an emerging research topic that aims to unify the tasks of sound event detection and direction-of-arrival estimation. As a result, SELD inherits the challenges of both tasks, such as noise, reverberation, interference, polyphony, and non-stationarity of sound sources. Furthermore, SELD often faces an additional challenge of assigning correct correspondences between the detected sound classes and directions of arrival to multiple overlapping sound events. Previous studies have shown that unknown interferences in reverberant environments often cause major degradation in the performance of SELD systems. To further understand the challenges of the SELD task, we performed a detailed error analysis on two of our SELD systems, which both ranked second in the team category of DCASE SELD Challenge, one in 2020 and one in 2021. Experimental results indicate polyphony as the main challenge in SELD, due to the difficulty in detecting all sound events of interest. In addition, the SELD systems tend to make fewer errors for the polyphonic scenario that is dominant in the training set.","source":"arXiv","year":2021,"language":"en","subjects":["eess.AS","cs.AI","cs.LG","cs.SD","eess.SP"],"url":"https://arxiv.org/abs/2107.10469","pdf_url":"https://arxiv.org/pdf/2107.10469","is_open_access":true,"published_at":"2021-07-22T06:01:49Z","score":65},{"id":"doaj_10.20473/jbk.v6i1.2017.79-87","title":"Faktor yang Berhubungan dengan Penggunaan Intra Uterine Device (IUD) di Pusat Pelayanan Keluarga Sejahtera (Pusyan Gatra) Tahun 2016","authors":[{"name":"Sarah Christiawan"},{"name":"Windhu Purnomo"}],"abstract":"The rate of growth population (LPP) becomes the main problem that is being faced by Indonesia today, one of them was East Java Province which increased 0.06 in 2000–2010 from 1990–2000 period. One effort to control LPP was family planning program by using contraception, especially Intra Uterine Device (IUD) to regulate the distance of pregnancy and to regulate birth spacing. Achievements of new Long Term Contraception Method (MKJP) acceptors especially IUD tend to decrease from 2013 to 2015 in Surabaya. The achievement of the proportion of new IUD acceptors in 2016 in Pusyan Gatra decreased by 6% became 34% from 2015 which is 40%. This study aimed to know and analyze the variables associated with the use of IUD in Pusyan Gatra in 2016 by using chi-square test. This research was an analytic quantitative research with cross-sectional design. This research data source were a new acceptor secondary data of MKJP in 2016. Population in this research were 270 new acceptors of MKJP from January to December 2016. The independent variables were age, educational level, employment status, and parity. The results from chi – square test were age (p = 0.002) and parity (p = 0.001) which related to IUD. Level of education and employment status of acceptors had no significant relationship with IUD in Pusyan Gatra. Therefore, the couple of reproductive (PUS) were \u003e35 years old who had parity \u003e2 and not using long–term contraception method yet, the counseling about using MKJP such as IUD must be improved.","source":"DOAJ","year":2018,"language":"","subjects":["Statistics","Demography. Population. Vital events"],"doi":"10.20473/jbk.v6i1.2017.79-87","url":"https://e-journal.unair.ac.id/JBK/article/view/4698","is_open_access":true,"published_at":"","score":62},{"id":"doaj_10.23889/ijpds.v3i5.1068","title":"International Data Access Network (IDAN)","authors":[{"name":"Roxane Silberman"},{"name":"Dana Mueller"},{"name":"Beate Lichtwardt"}],"abstract":"With legal frameworks changing, administrative data can increasingly be utilised both for official statistics and to facilitate new research, enabling the development of evidence-based policy for the public benefit. Secure access conditions generally apply to using these rich, highly detailed data. However, using data from various sources is difficult when they are fragmented in “silos” between several Research Data Centres (RDCs) as can happen at a national level, and is very likely to be the case at an international level. This is a major obstacle for international comparative research. Based on user consultations, on discussions with international organisations such as OECD and Eurostat and based on lessons learned from projects as, “Data without Boundaries” and the “Nordic Microdata Access Network”, IDAN aims to create a concrete operational international framework enabling access to controlled data for research. IDAN, founded in 2018, involves six RDCs from France, Germany, the Netherlands and the United Kingdom. Initially, the partners’ access systems are being implemented in each partners' premise based on bilateral agreements. This process involves combining requirements of security and surveillance for Safe Rooms, thus paving the way for next steps toward an integrated RDCs network. This presentation will describe how IDAN is setting up a new concrete environment for researchers to work remotely with data from the other partners within their local RDC. The paper will present first project developments, lessons and impact for research that are also of interest for national contexts where administrative data are held in multiple data centres.","source":"DOAJ","year":2018,"language":"","subjects":["Demography. Population. Vital events"],"doi":"10.23889/ijpds.v3i5.1068","url":"https://ijpds.org/article/view/1068","is_open_access":true,"published_at":"","score":62},{"id":"doaj_10.23889/ijpds.v3i5.1064","title":"Working with federal government agencies to unlock administrative data","authors":[{"name":"Jennifer Auer"}],"abstract":"Federal administrative data is a low-cost and low-burden data source for evidence-based policy making. By linking information from different surveys, or over time, researchers can achieve the sample size and variation needed for advanced econometric methods. However, the personally identifying information (PII) needed to link information means that these data re not available to the public. One solution is to provide technical specifications to the requisite agency(s) to execute the research. This paper outlines the process and pitfalls of drafting specifications for an implementing party who knows more about the data than you do. Drawing on experience from working with the U.S. Census Bureau and knowledge gained from related literatures, such as open-source coding, this paper recommends the depth of description, order of data manipulation and analysis, and requested output to make these collaborative projects successful. A federal administrative data project proposal template is offered. The paper also advises on information that federal agencies can supply to facilitate the use of these important data sources.","source":"DOAJ","year":2018,"language":"","subjects":["Demography. Population. Vital events"],"doi":"10.23889/ijpds.v3i5.1064","url":"https://ijpds.org/article/view/1064","is_open_access":true,"published_at":"","score":62},{"id":"arxiv_1810.01452","title":"A Partition Theorem for a Randomly Selected Large Population","authors":[{"name":"Arni S. R. Srinivasa Rao"}],"abstract":"We state and prove a theorem on the partitioning of a randomly selected large population into stationary and non-stationary components by using a property of stationary population identity. Applications of this theorem for practical purposes is summarized at the end.","source":"arXiv","year":2018,"language":"en","subjects":["q-bio.PE"],"url":"https://arxiv.org/abs/1810.01452","pdf_url":"https://arxiv.org/pdf/1810.01452","is_open_access":true,"published_at":"2018-10-02T18:47:37Z","score":62},{"id":"crossref_10.3897/popecon.1.e36036","title":"DEMOGRAPHY IN PERSONS, EVENTS, DOCUMENTS. MEMORABLE DATES 2017.","authors":[{"name":"Valery Elizarov"}],"abstract":"The purpose of this section is to remind of what is important to population specialists, what deserves to be preserved in our memories. We are not the \"Ivans with no memory of kinship.\" We remember our kinship, respect our history - the history of the Science School of Dmitry Ignatievich Valentey, respect and preserve the traditions of our Center for Population Studies of the Faculty of Economics of Lomonosov MSU, the 50th anniversary of which is only a little away.Anniversaries and round dates are a good occasion to recall the memorable dates of our teachers and colleagues, both living and those who had passed from this life, of their contribution to the development of population and demography economics, the neighbouring demographic sciences and the population knowledge system, to recall publications and conferences, laws and concepts, and all important to understand the ways in which modern knowledge of the country's demographic development and the world was established.And if you're considering how to begin a lecture or a new article, start with the \"lesson\" of memory ...","source":"CrossRef","year":2017,"language":"en","subjects":null,"doi":"10.3897/popecon.1.e36036","url":"https://doi.org/10.3897/popecon.1.e36036","pdf_url":"https://populationandeconomics.pensoft.net/article/36036/download/pdf/","is_open_access":true,"published_at":"","score":61},{"id":"doaj_10.23889/ijpds.v1i1.209","title":"Colonoscopy resource availability and colonoscopy utilization in Ontario, Canada","authors":[{"name":"Colleen Webber"},{"name":"Jennifer Flemming"},{"name":"Richard Birtwhistle"},{"name":"Mark Rosenberg"},{"name":"Patti Groome"}],"abstract":"ABSTRACT\n\nObjective\nEvidence of long wait times for colonoscopy and regional variations in colonoscopy utilization have raised concerns that the availability of colonoscopy resources may be insufficient to meet current needs. This study described colonoscopy resource availability in Ontario, Canada, evaluated regional variations in colonoscopy resource availability and utilization, and examined the association between colonoscopy resource availability and colonoscopy utilization.\n\r\n\nApproach\nThis is a population-based cross-sectional study of colonoscopy resource availability in Ontario, Canada from 2007 to 2013 using linked administrative health databases from the Institute for Clinical Evaluative Sciences (ICES). We defined the catchment areas for colonoscopy resources using physician networks that were built upon existing patient flow patterns, with comparisons to observed colonoscopy patient travel patterns to ensure the networks reflected colonoscopy referral patterns in the province. Colonoscopy physicians were identified from physician billing data. Network-level colonoscopy availability was measured in terms of physician density, specialty, and quality, use of private colonoscopy clinics, and distance that patients travel for colonoscopy. Network-level age- and sex-standardized colonoscopy utilization rates were calculated for 2007 to 2013. Associations between colonoscopy resource availability and colonoscopy utilization were analyzed using Spearman’s rank correlation.\n\r\n\nResults \nThe availability of colonoscopy resources in Ontario increased between 2007 and 2013. Physician density increased from 8.7 full-time equivalent (FTE) physicians per 100,000 residents in 2007 to 9.4 FTE per 100,000 residents in 2013. The proportion of colonoscopy physicians who achieved the recommended colonoscopy completion and polypectomy rates increased from 60% to 77%, and 28% to 53%, respectively. Use of private colonoscopy clinics also increased. In 2007, 21% of colonoscopies were completed in private clinics, and by 2013, that proportion increased to 30%. Across Ontario, we observed strong geographic variation in these measures of colonoscopy resource availability as well as in the utilization of colonoscopy. Colonoscopy utilization was positively correlated with physician availability (r=0.48, p=0.001), physician quality (r=0.6, p\u003c0.0001) and use of private clinics for colonoscopy (r=0.5, p=0.001).\n\r\n\nConclusion\nThe availability of colonoscopy resources improved in Ontario between 2007 and 2013. However, the geographic variation in resource availability and findings that higher colonoscopy resource availability is associated with higher colonoscopy utilization suggest that certain areas of the province may be under-resourced. These areas may be appropriate targets for efforts to improve colonoscopy capacity in Ontario.","source":"DOAJ","year":2017,"language":"","subjects":["Demography. Population. Vital events"],"doi":"10.23889/ijpds.v1i1.209","url":"https://ijpds.org/article/view/209","is_open_access":true,"published_at":"","score":61}],"total":1148474,"page":1,"page_size":20,"sources":["CrossRef","DOAJ","arXiv"],"query":"Demography. Population. Vital events"}