Migration and Settlement: A Multiregional Comparative Study

In 1976, the International Institute for Applied Systems Analysis initiated a study of migration and population distribution patterns in its 17 member nations. In each country, the analysis was carried out by a national scholar using techniques of multiregional demography. This paper describes the organization of the study, discusses the data bases used, evaluates the main results obtained, and reviews some of the methodological research that has been generated by the study. Among the conclusions of the paper are recommendations for researchers wishing to carry out a multiregional demographic analysis

Monitoring international migration flows in Europe. Towards a statistical data base combining data from different sources

The paper reviews techniques developed in demography, geography and statistics that are useful for bridging the gap between available data on international migration flows and the information required for policy making and research. The basic idea of the paper is as follows: to establish a coherent and consistent data base that contains sufficiently detailed, up-to-date and accurate information, data from several sources should be combined. That raises issues of definition and measurement, and of how to combine data from different origins properly. The issues may be tackled more easily if the statistics that are being compiled are viewed as different outcomes or manifestations of underlying stochastic processes governing migration. The link between the processes and their outcomes is described by models, the parameters of which must be estimated from the available data. That may be done within the context of socio-demographic accounting. The paper discusses the experience of the U.S. Bureau of the Census in combining migration data from several sources. It also summarizes the many efforts in Europe to establish a coherent and consistent data base on international migration. The paper was written at IIASA. It is part of the Migration Estimation Study, which is a collaborative IIASA-University of Groningen project, funded by the Netherlands Organization for Scientific Research (NWO). The project aims at developing techniques to obtain improved estimates of international migration flows by country of origin and country of destination

Mechanisms of resistance to groundnut rosette

Rosette (caused by rosette assistor virus, groundnut rosette virus and satellite RNA) resistance in 3 groundnut genotypes (ICGV-SM 90704, ICG 12991 and JL 24) was evaluated, using a vector or mechanical transmission of the virus complex. Branches from rosette-infected plants (groundnut cv. Malimba) were grafted onto 23-day-old healthy stocks of the 3 genotypes, grown in pots in a greenhouse. Eighteen days after grafting, all the new shoots of ICG 12991 and JL 24 stocks showed severe rosette symptoms. The differences in rosette incidence recorded from the graft transmission and field observations may involve resistance to Aphis craccivora. Thus, an experiment was carried out to assess the vector performance on the 3 genotypes. Thirty days after sowing the 3 genotypes in pots in a greenhouse, young leaves were exposed to 5 viruliferous A. craccivora alatae (winged). Aphids were counted 10 days after infestation (DAI) on each plant. Exposed plants were left in a greenhouse up to 60 days after infestation to record rosette symptoms. Results indicated highly significant differences in aphid population counts between the 3 genotypes. At 10 DAI, increased numbers of aphids (alatae plus nymphs) were observed on ICGV-SM 90704 and JL 24, with an average of 93 and 96 aphids per plant, respectively. In contrast, aphid number on ICG 12991 fell from 5 to 3 per plant. There were also significant differences in disease expression at 60 DAI, since JL 24 showed 100% disease incidence, while no symptoms were noted on ICG 12991. Only mild symptoms were observed on ICGV-SM 90704

Multilevel use of image repository in the field of veterinary imaging and dissemination of training tools

[Extract] Until now the veterinary teaching environment is limited to static two dimensional materials. In order to improve the teaching experience we decided to adapt our educational PACS to build 2D and 3D viewing veterinary datasets. As entry level of education we setup a knowledge base consisting out of normal anatomy [1, 2]. The second step is the construction of an imaging atlas compared with the normal anatomy of every animal. The third step is the construction of a database containing a wide variety of radiopathology cases. The final level is the integration in an e-learning platform namely WikiVet [3] which is a collaborative initiative involving UK veterinary schools. The project is creating a comprehensive online knowledge base and will provide a reliable reference source to supersede Wikipedia for veterinary students, paramedics and graduates anywhere in the world, improving diagnostic skills using diagnostic imaging

Estimating Population Attribute Values in a Table: “Get Me Started in” Iterative Proportional Fitting

Iterative proportional fitting (IPF) is a technique that can be used to adjust a distribution reported in one data set by totals reported in others. IPF is used to revise tables of data where the information is incomplete, inaccurate, outdated, or a sample. Although widely applied, the IPF methodology is rarely presented in a way that is accessible to nonexpert users. This article fills that gap through discussion of how to operationalize the method and argues that IPF is an accessible and transparent tool that can be applied to a range of data situations in population geography and demography. It offers three case study examples where IPF has been applied to geographical data problems; the data and algorithms are made available to users as supplementary material

Development and external validation of a model to predict complex treatment after RFA for Barrett's esophagus with early neoplasia

Background & Aims: Endoscopic eradication therapy for Barrett's esophagus (BE)-related neoplasia is safe and leads to complete eradication in the majority of patients. However, a subgroup will experience a more complex treatment course with a risk for failure or disease progression. Early identification of these patients may improve patient counseling and treatment outcomes. We aimed to develop a prognostic model for a complex treatment course. Methods: We collected data from a nationwide registry that captures outcomes for all patients undergoing endoscopic eradication therapy for early BE neoplasia. A complex treatment course was defined as neoplastic progression, treatment failure, or the need for endoscopic resection during the radiofrequency ablation treatment phase. We developed a prognostic model using logistic regression. We externally validated our model in an independent registry. Results: A total of 1386 patients were included, of whom 78 (6%) had a complex treatment course. Our model identified patients with a BE length of 9 cm or longer with a visible lesion containing high-grade dysplasia/cancer, and patients with less than 50% squamous conversion after radiofrequency ablation were identified as high risk for a complex treatment. This applied to 8% of the study population and included 93% of all treatment failures and 76% of all patients with advanced neoplastic progression. The model appeared robust in multiple sensitivity analyses and performed well in external validation (area under the curve, 0.84). Conclusions: We developed a prognostic model that identified patients with a BE length of 9 cm or longer and high-grade dysplasia/esophageal adenocarcinoma and those with poor squamous regeneration as high risk for a complex treatment course. The good performance in external validation suggests that it may be used in clinical management (Netherlands Trial Register: NL7039)

Dysplastic Recurrence After Successful Treatment for Early Barrett's Neoplasia:Development and Validation of a Prediction Model

Background & Aims: The combination of endoscopic resection and radiofrequency ablation is the treatment of choice for eradication of Barrett's esophagus (BE) with dysplasia and/or early cancer. Currently, there are no evidence-based recommendations on how to survey patients after successful treatment, and most patients undergo frequent follow-up endoscopies. We aimed to develop and externally validate a prediction model for visible dysplastic recurrence, which can be used to personalize surveillance after treatment. Methods: We collected data from the Dutch Barrett Expert Center Registry, a nationwide registry that captures outcomes from all patients with BE undergoing endoscopic treatment in the Netherlands in a centralized care setting. We used predictors related to demographics, severity of reflux, histologic status at baseline, and treatment characteristics. We built a Fine and Gray survival model with least absolute shrinkage and selection operator penalization to predict the incidence of visible dysplastic recurrence after initial successful treatment. The model was validated externally in patients with BE treated in Switzerland and Belgium. Results: A total of 1154 patients with complete BE eradication were included for model building. During a mean endoscopic follow-up of 4 years, 38 patients developed recurrent disease (1.0%/person-year). The following characteristics were independently associated with recurrence (strongest to weakest predictor): a new visible lesion during treatment phase, higher number of endoscopic resection treatments, male sex, increasing BE length, high-grade dysplasia or cancer at baseline, and younger age. External validation showed a C-statistic of 0.91 (95% confidence interval, 0.86–0.94) with good calibration. Conclusions: This is the first externally validated model to predict visible dysplastic recurrence after successful endoscopic eradication treatment of BE with dysplasia or early cancer. On external validation, our model has good discrimination and calibration. This model can help clinicians and patients to determine a personalized follow-up strategy