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At least 127 records · Page 7Linked to original sources
PubMed2004

Current practices in spatial analysis of cancer data: data characteristics and data sources for geographic studies of cancer.

The use of spatially referenced data in cancer studies is gaining in prominence, fueled by the development and availability of spatial analytic tools and the broadening recognition of the linkages between geography and health. We provide an overview of some of the unique characteristics of spatial data, followed by an account of the major types and sources of data used in the spatial analysis of cancer, including data from cancer registries, population data, health surveys, environmental data, and remote sensing data. We cite numerous examples of recent studies that have used these data, with a focus on etiological research.

Journal Article↗
PubMed2003

A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae).

Genomic sequencing is no longer a novelty, but gene function annotation remains a key challenge in modern biology. A variety of functional genomics experimental techniques are available, from classic methods such as affinity precipitation to advanced high-throughput techniques such as gene expression microarrays. In the future, more disparate methods will be developed, further increasing the need for integrated computational analysis of data generated by these studies. We address this problem with MAGIC (Multisource Association of Genes by Integration of Clusters), a general framework that uses formal Bayesian reasoning to integrate heterogeneous types of high-throughput biological data (such as large-scale two-hybrid screens and multiple microarray analyses) for accurate gene function prediction. The system formally incorporates expert knowledge about relative accuracies of data sources to combine them within a normative framework. MAGIC provides a belief level with its output that allows the user to vary the stringency of predictions. We applied MAGIC to Saccharomyces cerevisiae genetic and physical interactions, microarray, and transcription factor binding sites data and assessed the biological relevance of gene groupings using Gene Ontology annotations produced by the Saccharomyces Genome Database. We found that by creating functional groupings based on heterogeneous data types, MAGIC improved accuracy of the groupings compared with microarray analysis alone. We describe several of the biological gene groupings identified.

Algorithms↗
PubMed2004

Selecting biomedical data sources according to user preferences.

MOTIVATION: Biologists are now faced with the problem of integrating information from multiple heterogeneous public sources with their own experimental data contained in individual sources. The selection of the sources to be considered is thus critically important. RESULTS: Our aim is to support biologists by developing a module based on an algorithm that presents a selection of sources relevant to their query and matched to their own preferences. We approached this task by investigating the characteristics of biomedical data and introducing several preference criteria useful for bioinformaticians. This work was carried out in the framework of a project which aims to develop an integrative platform for the multiple parametric analysis of cancer. We illustrate our study through an elementary biomedical query occurring in a CGH analysis scenario. AVAILABILITY: http://www.lri.fr/~cohen/dss/dss.html

Algorithms↗
PubMedDate not supplied

The SIMPOC Philippine Survey of Children 2001: a data source for analyzing occupational injuries to children.

Child labor is a global issue that exists in both industrialized and developing countries. With the unanimous adoption of International Labour Organization (ILO) Convention No. 182 in 1999 calling for the immediate elimination of the worst forms of child labor, ratifying member countries have committed themselves to identifying hazardous work for children in the context of their respective legislative frameworks. Part of tackling the problem of child labor is knowing what types of occupational activities children are engaged in, what types of work environments they are under, and what risks of injuries and illnesses they are exposed to while working. Using the Philippines as a country example, this study introduces a promising data source on children's work and presents a methodology for examining hazardous work to children through the examination of injury rates. Data for this study rely primarily on a nationally representative dataset from the Survey of Children 2001 carried out by the Philippine National Statistics Office, covering the months of October 2001 to September 2002.

Accidents, Occupational↗
PubMedDate not supplied

Burn incidence and medical care use in the United States: estimates, trends, and data sources.

Recent estimates related to annual burn incidence and medical care use in the United States include 5500 deaths from fire and burns (1991), 51,000 acute hospital admissions for burn injury (1991 to 1993 average), and 1.25 million total burn injuries (1992). Time trends from 1971 to 1991 reveal significant declines in each estimate. Taking into account the 25% increase in the U.S. population during this period, the rates of decline in deaths attributed to fire and burns and acute hospitalization for burn injury are both about 50%. The rates of decline are similar in sample statistics for all burns receiving medical care and for all burns above a reportable level of severity. In addition to providing current and time-series estimates, this article discusses burn injury coding issues and describes the data sources from which national and state estimates can be derived. The principal objective is to establish and describe a set of burn injury data baselines in a manner that will facilitate future tracking of burn incidence and medical care use at the national and state level by practitioners and researchers.

Burn Units↗
PubMed2005

[Data sources on drug utilization in Croatia and Europe].

The costs for drugs account for a significant proportion of total health care cost in every country. This is especially pronounced in welfare states and less developed countries. Therefore, each government has to take protective measures against uncontrolled rise in drug expenses and tend to the ideal, rational drug utilization. One of these measures is systematic monitoring of drug utilization. The data on drug utilization thus obtained provide a basis for appropriate interventional measures and their evaluation. In Croatia, no systematic measures in the field of drug utilization have yet been employed. In this brief survey, the methodology of drug utilization monitoring is critically reviewed, emphasizing the need of implementing the World Health Organization (WHO) Anatomical-Therapeutic-Chemical (ATC) system of drug classification and drug utilization monitoring by use of WHO Defined Daily Doses (DDD). The use of ATC/DDD system and other methods of drug utilization monitoring in Scandinavian countries is then presented. The third section deals with the current situation concerning data sources on drug utilization in Croatia. In Croatia, the ATC/DDD system has to date been only used by researchers and Zagreb Institute of Public Health in the work on the project entitled Drug Utilization in the City of Zagreb, launched in 2002.

Croatia↗
PubMedDate not supplied

[How current data can guide mother-infant health planning. An insight into data sources and methodologies].

OBJECTIVES: To evaluate how Hospital Discharge Records (SDO) and Certificates of Delivery Care (CEDAP) can be utilized to determine the number of deliveries and births; to calculate indicators for monitoring mother-infant health status, the exposure to risk factors during pregnancy and the health care provided. DESIGN AND SETTING: CEDAP and SDO of all patients admitted to any hospital in the Veneto Region (4.7 million inhabitants, about 44,000 births) during the year 2003 were considered. An area-based study on deliveries and births, a retrospective cohort study on pregnancies, and a prospective cohort study on newborns up to the first year of age were performed to calculate health indicators. These indicators were compared to two official data sources: National Institute of Statistics (ISTAT) and Italian National Institute of Health (ISS). MAIN OUTCOME MEASURES: Descriptive indicators concerning mother-infant health status (conception, pregnancy, delivery, newborns and events during the first year of age). RESULTS: SDO provide highly accurate data on pregnancies, births and stillborns, which overlap with values reported by ISTAT Combining data from SDO and CEDAP with findings fom the process of tracking mothers and infants'cohorts, allows the calculation of many indicators on conception (n. 9), pregnancy (n. 8), delivery (n. 8), newborn (n. 15), and events during the first year of age (n. 6). In the Veneto Region the general fertility rate is 40.95% per hundred, with a relatively late mean age at delivery (32 years). Pregnant women undergoing prenatal invasive procedures are 23.5% and the caesarean section rate is 29%. Infants born to foreign mothers are 16%, whereas 2.5% are conceived through assisted reproduction techniques, 0.9% are very low birth weight, and 0.3% are extremely low birth weight; neonatal and infant mortality rates are 2.2% per hundred and 2.9% per hundred respectively. CONCLUSION: The proposed system is immediately feasible also at a local level, making reliable and informative data available to guide health policies.

Adolescent↗
PubMed2006

Applied medical & care compunetics to public health disease surveillance and management: Leveraging external data sources--a key to public health preparedness.

In today's global community the ability to prepare for a disease outbreak in order to mitigate the public health, social, and economic impacts on a community depends upon data to support the decision and response process. Data can come from a variety of sources. These sources not only include the medical and health care community, but also geographic, demographic, and socio-economic data. The ability to capture and utilize the data effectively from these types of data sources can mean the difference between a manageable disease outbreak that represents little or no threat to a community and one that causes a significant social and economic impact. As the health profession expands the applied use of information technology within the medical and health care communities, opportunities are created to expand the use of new data sources to support information based decisions. Information that can be used to provide early warning for disease outbreaks both naturally occurring or through a bioterrorist event; information that can be used to plan, analyze and respond to a disease event; information that can support a community's preparedness activities in order to minimize a public health event. This chapter illustrates how applied compunetics can be used to support health care as the public health professional responds to, and manages, naturally occurring diseases as well as emerging new disease threats. An electronic health environment (EHE) vision is presented that capitalizes on the use of a variety of environmental, medical, and health care data to support disease early warning, reporting, case and outbreak management and community preparedness.

Community Health Planning↗
PubMed2005

Introducing a means of quantifying community reputation: the print media as a data source.

A community's reputation may have implications for self-esteem, morale, or other health outcomes of residents. In this study, we introduce a means of quantifying the reputation of communities in Calgary, Canada based on their portrayal in the daily citywide newspaper. Publication dates were selected from an 8.5-year period using constructed week sampling. For communities designated as high or low in well-being, sampled references were rated as positive, negative, or neutral in topic, by two independent raters who were blind to community identity. Findings suggest that the print media represent a convenient and discriminating data source for characterising some aspects of community reputation.

British Columbia↗
PubMed1982

A case-control study of cholecystectomy and right-side colon cancer: the influence of alternative data sources and differential interview participation proportions on odds ratio estimates.

One hundred fifty patients with right-side colon cancer (i.e., patients with adenocarcinoma of the cecum or ascending colon) were compared to 150 matched left-side colon cancer controls (i.e., patients with adenocarcinoma of the descending or sigmoid colon) and to 123 neighborhood controls, Pittsburgh, Pennsylvania, Standard Metropolitan Statistical Area, 1975-1978. The gastrointestinal surgical history was ascertained for all study subjects so that the presence or absence of a history of cholecystectomy could be noted. Cholecystectomy history was obtained through telephone interviews and whenever possible subsequently validated from operative and pathology reports at time of cholecystectomy. Cholecystectomy history for the colon cancer patients was also abstracted from hospital records at time of colon cancer diagnosis with an attempt to confirm the gallbladder's status through operative reports, cholecystograms, and physical examinations. Hospital records and interviews for the colon cancer patients appeared to provide accurate exposure history. Point estimates of the odds ratios and confidence intervals for intra- and inter-data source comparisons (i.e., hospital records, interviews, and hospital records and interviews combined) were comparable with similar measures of effect. Consistent odds ratio estimates appeared in both left-side colon cancer controls (1.9) and neighborhood controls (1.89). The authors suggest that changes in bile acid metabolism following cholecystectomy may be associated an increased risk of right-side colon cancer.

Adenocarcinoma↗
PubMed1997

Work-related musculoskeletal disorders: comparison of data sources for surveillance.

Work-related upper extremity musculoskeletal disorders "associated with repeated trauma" account for more than 60% of all newly reported occupational illness, 332,000 in 1994 according to the U.S. Department of Labor. These numbers do not include, for example, those disorders categorized as "injuries due to overexertion in lifting," approximately 370,000. Early identification of potential disorders and associated risk factors is needed to reduce these disorders. There are a number of possible methods for conducting surveillance for work-related musculoskeletal disorders (WMDs) based on health outcome: workers' compensation, sickness and accident insurance, OSHA 200 logs, plant medical records, self-administered questionnaires, professional interviews, and physical examinations. In addition, hazard surveillance based on evaluation of job exposures to physical stressors by nonoccupational health personnel is possible. As part of a large labor-management-initiated intervention study to reduce the incidence of WMDs in four automotive plants, we were able to compare the strengths and limitations of each of these surveillance tools. University administered health interviews yielded the highest rate of symptoms; combined physical examinations plus interview (point prevalence) rates were similar to self-administered questionnaires (period prevalence) rates. Plant medical records yielded the lowest rate of WMDs. WMD status on self-administered questionnaire and on physical examination were associated with risk factor exposure scores. This study suggests that symptoms questionnaires and checklist-based hazard surveillance are feasible within the context of joint labor-management ergonomics programs and are more sensitive indicators of ergonomic problems than pre-existing data sources.

Cumulative Trauma Disorders↗
PubMed1997

Sources of data for pharmacoepidemiological studies of child and adolescent psychiatric disorders.

In view of the dramatic shift to managed care models for United States health care delivery, reliable information on the prevalence and variations in psychopharmacological drug therapies for youth in community practice settings is essential. Pharmacoepidemiology, the study of medication use in large populations, aims to accomplish that challenging task. This article offers child psychopharmacologists a brief introduction to data sources for pharmacoepidemiology. Knowledge of these data sources combined with epidemiological methods for data analysis is a beginning step to assess the psychotropic medication prescribing patterns of community physicians. This review is organized in the following sequence: (1) characteristics of the "usual practice environment" according to setting, patient population, and physician characteristics; (2) validity issues related to data sources and their potential for outcomes research; (3) data sources divided into primary and secondary types that are described in terms of their features, advantages, and limitations, followed by examples of selected applied studies using such information; (4) procedures for analyzing secondary data; (5) data analytic and longitudinal approaches; and (6) access, confidentiality, and funding. A goal for future investigators in this emerging field is to develop applied research that is clinically sophisticated, methodologically sound, and public health-minded.

Adolescent↗
PubMedDate not supplied

Zherlock: an open source data analysis software.

Zherlock is an open source software that provides state-of-the-art data analysis tools to the user in an intuitive and flexible way. It is a front-end to different numerical "engines" to produce a seamless integration of algorithms written in different computer languages. Of particular interest is creating an interface to high-level scientific languages such as Octave (a Matlab clone) and R (an S-PLUS clone) to enable efficient porting of new data analytical methods. Zherlock uses advanced scientific visualization tools in 2-D and 3-D and has been extended to work on virtual reality (VR) systems. Central to Zherlock is a visual programming environment (VPE) which enables diagram based programming. These diagrams consist of nodes and connection lines where each node is an operator or a method and lines describe the flow of data between nodes. A VPE is chosen for Zherlock because it forms an effective way to control the processing pipeline in complex data analyses. The VPE is similar in functionality to other programs such as IRIS Explorer, AVS or LabVIEW.

Algorithms↗
PubMedDate not supplied

Data quality assurance for thermophysical property databases--applications to the TRC SOURCE data system.

To a significant degree processes of database development are based upon human activities, which are susceptible to various errors. Propagation of errors in the processing leads to a decrease in the value of original data as well as that of any database products. Data quality is a critical issue that every database producer must handle as an inseparable part of the database management. Within the Thermodynamics Research Center (TRC), a systematic approach to implement database integrity rules was established through the use of modern database technology, statistical methods, and thermodynamic principles. The four major functions of the system--error prevention, database integrity enforcement, scientific data integrity protection, and database traceability--are detailed in this paper.

Journal Article↗
PubMed1992

An overview of relevant data sources in the former USSR for studies in demographic trends, aging and noncommunicable disease problems.

This article provides an overview of health data available in the former USSR. It is not all-inclusive in terms of chronic diseases covered or in details of data collection activities carried out. However, several broad conclusions can be drawn: There is a system of population and mortality data collection which covers the former USSR and which can be disaggregated to smaller administrative areas. The system is being exploited by population specialists, demographers, medical demographers and epidemiologists, both nationally and internationally, both for analytical purposes and as part of health monitoring systems. A national-level data-collection system for morbidity and disability, based on delivery of health services, is in place and is exploited by both health researchers and health planners. The shortcomings of such a health service-based statistical system are well recognized. Further standardization or calibration of measures of total and cause-specific morbidity and disability measures should be examined. A potential calibration tool is the 1988-1993 health examination and interview survey covering a representative (but highly clustered) sample of the former USSR population. The possibilities of greater standardization of measurement procedures used in this survey should also be investigated. In certain disease areas, e.g. cardiovascular diseases, cancer, rheumatic diseases and gerontology, clinical and epidemiological studies involving international collaboration have been carried out. This has resulted in the use of internationally accepted disease definitions, diagnostic procedures, and of clinical and laboratory standardization of demographic, social and biological measurements. Participation in multilateral or bilateral studies should be encouraged in research in disease areas where these types of programmes have not yet been instituted.(ABSTRACT TRUNCATED AT 250 WORDS)

Aging↗