ReviewEnvironmental health perspectives2004
Health and environment information systems for exposure and disease mapping, and risk assessment.
Review in Environmental health perspectives, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 107 citations in OpenAlex.
- Determining the spatial distribution of environmental and socio-economic suitability for human leptospirosis in the face of limited epidemiological data.Infectious diseases of poverty · 2022Article
- Days of Flooding Associated with Increased Risk of Influenza.Journal of environmental and public health · 2022Article
- Small area disease mapping of cancer incidence in British Columbia using Bayesian spatial models and the smallareamapp R Package.Frontiers in oncology · 2022Article
- Software application profile: the Rapid Inquiry Facility 4.0: an open access tool for environmental public health tracking.International journal of epidemiology · 2020Article
- Availability, access, analysis and dissemination of small-area data.International journal of epidemiology · 2020Article
- Advances in spatiotemporal models for non-communicable disease surveillance.International journal of epidemiology · 2020Review
- Geographic Information Science and the Analysis of Place and Health.Transactions in GIS : TG · 2018Article
- Uncovering exposures responsible for birth season - disease effects: a global study.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping.Big data · 2017Article
- Engaging academia to advance the science and practice of environmental public health tracking.Environmental research · 2014Article
- A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies.Yearbook of medical informatics · 2014Review
- New approach for particulate exposure monitoring: determination of inhaled particulate mass by 24 h real-time personal exposure monitoring.Journal of exposure science & environmental epidemiology · 2012Article
- Geographical information systems and health: current state and future directions.Healthcare informatics research · 2012Article
- Integrating address geocoding, land use regression, and spatiotemporal geostatistical estimation for groundwater tetrachloroethylene.Environmental science & technology · 2012Article
- Using geographical information systems mapping to identify areas presenting high risk for traumatic brain injury.Emerging themes in epidemiology · 2011Article
- Evaluation of spatial relationships between health and the environment: the rapid inquiry facility.Environmental health perspectives · 2010Article
- Feasibility and utility of mapping disease risk at the neighbourhood level within a Canadian public health unit: an ecological study.International journal of health geographics · 2010Article
- Development of risk maps to minimize uranium exposures in the Navajo Churchrock mining district.Environmental health : a global access science source · 2009Article
- Geographical clustering of lung cancer in the province of Lecce, Italy: 1992-2001.International journal of health geographics · 2009Article
- Spatial modeling of personalized exposure dynamics: the case of pesticide use in small-scale agricultural production landscapes of the developing world.International journal of health geographics · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A large number of chemicals are used on a regular basis in modern society. Thousands of new chemicals are added each year, many of which may have toxic properties constituting potential health hazards. Rapid assessment of the risk associated with the use of these chemicals is therefore essential to protect people from exposure to potentially harmful substances. Exposures to chemicals (and physical agents) are typically unevenly distributed geographically as well as temporally. Disease occurrence also shows geographically varying patterns. Geographic information systems (GIS) may be used to produce maps of exposure and/or disease to reveal spatial patterns. Exposure mapping using advanced GIS modeling may enhance exposure assessment in environmental epidemiology studies. Disease maps can be valuable tools in risk assessment to explore changes in disease patterns potentially associated with changes in environmental exposures. Spatial variations in risk and trends related to distance from pollution sources may be studied using software tools such as the Rapid Inquiry Facility, developed by the U.K. Small Area Health Statistics Unit and enhanced in the European Health and Environment Information System project, for an initial quick evaluation of any potential health hazards associated with an environmental pollutant.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.