Prabjit Barn

Dados Biográficos

ID3064157
NOMEPrabjit Barn
PRENOMESPrabjit
SOBRENOMEBarn
ASSINATURABARN P
AFILIAÇÕESBC Centre for Disease Control
VERIFICADONão
TOTAL DE OBRAS5
TOTAL DE CITAÇÕES2
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2010
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H1

  • Public Health Messaging for Wildfire Smoke

    Open AccessErin M Shellington, Phuong D M Nguyen et al.ARTICLEFrontiers in Public Health2022

    Wildfire smoke events are increasing in British Columbia (BC), Canada and environmental and public health agencies are responsible for communicating the health-related risks and mitigation strategies. To evaluate and identify opportunities for improving public communications about wildfire smoke and associated health risks we collaborated with end-users and developed a 32-question online survey. The survey was deployed province-wide from 29 Septe…

  • How to Ensure That National Radon Survey Results Are Useful for Public Health Practice

    Open AccessSarah B Henderson, Tom Kosatsky et al.ARTICLECanadian Journal of Public Health2012Citada por: 2Referências: 4

  • Lead in School Drinking Water

    Open AccessPrabjit Barn, Tom KosatskyARTICLECanadian Journal of Public Health2011Referências: 8

  • Evaluating Human Exposure to Fine Particulate Matter Part I

    Open AccessGail Millar, Tyler Abel et al.ARTICLEGeography Compass2010Referências: 159

    Exposure to airborne fine particulate matter has been a pressing issue since the early 1990s when several studies reported health effects at unexpectedly low ambient levels. Since this time, several reviews have addressed various aspects of this topic. This article is the first of a two-part review of reviews. The intention of these articles is to provide a consolidated overview about fine particulate matter exposure assessment. This article, Par…

  • Evaluating Human Exposure to Fine Particulate Matter Part II

    Open AccessGail Millar, Tyler Abel et al.ARTICLEGeography Compass2010Referências: 82

    Exposure modeling has become a fundamental component of exposure analysis as it provides an efficient and economical means for assessing exposure of individuals to populations over a variety of spatial and temporal scales for past, current, future, or hypothetical conditions. For airborne particulate matter, traditional modeling approaches typically utilize ambient concentration data to assign exposure levels across an area of interest for a give…