Int J Health Geogr - Statistical air quality predictions for public health surveillance: evaluation and generation of county level metrics of PM2.5 for the environmental public health tracking network.

Tópicos

{ spatial(1525) area(1432) region(1030) }
{ data(3008) multipl(1320) sourc(1022) }
{ motion(1329) object(1292) video(1091) }
{ monitor(1329) mobil(1314) devic(1160) }
{ system(1976) rule(880) can(841) }
{ assess(1506) score(1403) qualiti(1306) }
{ case(1353) use(1143) diagnosi(1136) }
{ studi(1119) effect(1106) posit(819) }
{ time(1939) patient(1703) rate(768) }
{ imag(2675) segment(2577) method(1081) }
{ perform(999) metric(946) measur(919) }
{ health(1844) social(1437) communiti(874) }
{ data(1737) use(1416) pattern(1282) }
{ measur(2081) correl(1212) valu(896) }
{ state(1844) use(1261) util(961) }
{ risk(3053) factor(974) diseas(938) }
{ import(1318) role(1303) understand(862) }
{ model(2656) set(1616) predict(1553) }
{ first(2504) two(1366) second(1323) }
{ can(981) present(881) function(850) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ imag(1057) registr(996) error(939) }
{ take(945) account(800) differ(722) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ error(1145) method(1030) estim(1020) }
{ method(1557) propos(1049) approach(1037) }
{ featur(1941) imag(1645) propos(1176) }
{ howev(809) still(633) remain(590) }
{ system(1050) medic(1026) inform(1018) }
{ research(1218) medic(880) student(794) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ analysi(2126) use(1163) compon(1037) }
{ high(1669) rate(1365) level(1280) }
{ drug(1928) target(777) effect(648) }
{ process(1125) use(805) approach(778) }
{ imag(1947) propos(1133) code(1026) }
{ inform(2794) health(2639) internet(1427) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ network(2748) neural(1063) input(814) }
{ patient(2315) diseas(1263) diabet(1191) }
{ studi(2440) review(1878) systemat(933) }
{ problem(2511) optim(1539) algorithm(950) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ research(1085) discuss(1038) issu(1018) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ patient(2837) hospit(1953) medic(668) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ structur(1116) can(940) graph(676) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

CKGROUND: The Centers for Disease Control and Prevention (CDC) developed county level metrics for the Environmental Public Health Tracking Network (Tracking Network) to characterize potential population exposure to airborne particles with an aerodynamic diameter of 2.5 ?m or less (PM(2.5)). These metrics are based on Federal Reference Method (FRM) air monitor data in the Environmental Protection Agency (EPA) Air Quality System (AQS); however, monitor data are limited in space and time. In order to understand air quality in all areas and on days without monitor data, the CDC collaborated with the EPA in the development of hierarchical Bayesian (HB) based predictions of PM(2.5) concentrations. This paper describes the generation and evaluation of HB-based county level estimates of PM(2.5).METHODS: We used three geo-imputation approaches to convert grid-level predictions to county level estimates. We used Pearson (r) and Kendall Tau-B (t) correlation coefficients to assess the consistency of the relationship, and examined the direct differences (by county) between HB-based estimates and AQS-based concentrations at the daily level. We further compared the annual averages using Tukey mean-difference plots.RESULTS: During the year 2005, fewer than 20% of the counties in the conterminous United States (U.S.) had PM(2.5) monitoring and 32% of the conterminous U.S. population resided in counties with no AQS monitors. County level estimates resulting from population-weighted centroid containment approach were correlated more strongly with monitor-based concentrations (r = 0.9; t = 0.8) than were estimates from other geo-imputation approaches. The median daily difference was -0.2 ?g/m(3) with an interquartile range (IQR) of 1.9 ?g/m(3) and the median relative daily difference was -2.2% with an IQR of 17.2%. Under-prediction was more prevalent at higher concentrations and for counties in the western U.S.CONCLUSIONS: While the relationship between county level HB-based estimates and AQS-based concentrations is generally good, there are clear variations in the strength of this relationship for different regions of the U.S. and at various concentrations of PM(2.5). This evaluation suggests that population-weighted county centroid containment method is an appropriate geo-imputation approach, and using the HB-based PM(2.5) estimates to augment gaps in AQS data provides a more spatially and temporally consistent basis for calculating the metrics deployed on the Tracking Network.

Resumo Limpo

ckground center diseas control prevent cdc develop counti level metric environment public health track network track network character potenti popul exposur airborn particl aerodynam diamet m less pm metric base feder refer method frm air monitor data environment protect agenc epa air qualiti system aq howev monitor data limit space time order understand air qualiti area day without monitor data cdc collabor epa develop hierarch bayesian hb base predict pm concentr paper describ generat evalu hbbase counti level estim pmmethod use three geoimput approach convert gridlevel predict counti level estim use pearson r kendal taub t correl coeffici assess consist relationship examin direct differ counti hbbase estim aqsbas concentr daili level compar annual averag use tukey meandiffer plotsresult year fewer counti contermin unit state us pm monitor contermin us popul resid counti aq monitor counti level estim result populationweight centroid contain approach correl strong monitorbas concentr r t estim geoimput approach median daili differ gm interquartil rang iqr gm median relat daili differ iqr underpredict preval higher concentr counti western usconclus relationship counti level hbbase estim aqsbas concentr general good clear variat strength relationship differ region us various concentr pm evalu suggest populationweight counti centroid contain method appropri geoimput approach use hbbase pm estim augment gap aq data provid spatial tempor consist basi calcul metric deploy track network

Resumos Similares

Int J Health Geogr - The effect of spatial aggregation on performance when mapping a risk of disease. ( 0,725253129621847 )
Int J Health Geogr - Density estimation and adaptive bandwidths: a primer for public health practitioners. ( 0,703223148972365 )
J Integr Bioinform - Inter-dinucleotide distances in the human genome: an analysis of the whole-genome and protein-coding distributions. ( 0,693856631942804 )
Int J Health Geogr - Demarcation of local neighborhoods to study relations between contextual factors and health. ( 0,674556075616011 )
J Telemed Telecare - Inexpensive, realtime tele-ultrasound using a commercial, web-based video streaming device. ( 0,669276951053231 )
Int J Health Geogr - A high resolution spatial population database of Somalia for disease risk mapping. ( 0,665738622321614 )
Int J Health Geogr - Identifying landscape features associated with Rift Valley fever virus transmission, Ferlo region, Senegal, using very high spatial resolution satellite imagery. ( 0,650048059844923 )
Int J Health Geogr - Agricultural landscape and spatial distribution of Toxoplasma gondii in rural environment: an agent-based model. ( 0,640591550823831 )
Spat Spatiotemporal Epidemiol - Quantifying the magnitude of environmental exposure misclassification when using imprecise address proxies in public health research. ( 0,636181179409287 )
Int J Health Geogr - Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping. ( 0,634096585393996 )
Int J Health Geogr - Can a deprivation index be used legitimately over both urban and rural areas? ( 0,630211116738285 )
Neural Comput - A model of motion transparency processing with local center-surround interactions and feedback. ( 0,62707250952288 )
Int J Health Geogr - Retrospective space-time analysis of H5N1 Avian Influenza emergence in Thailand. ( 0,625021524844597 )
Int J Health Geogr - The road most travelled: the geographic distribution of road traffic injuries in England. ( 0,623583552394461 )
Int J Health Geogr - Terra and Aqua satellites track tiger mosquito invasion: modelling the potential distribution of Aedes albopictus in north-eastern Italy. ( 0,623493887850573 )
Int J Health Geogr - Geospatial association of endemicity of ataxic polyneuropathy and highly cyanogenic cassava cultivars. ( 0,623396062046433 )
Int J Health Geogr - Ecological niche modelling of Hemipteran insects in Cameroon; the paradox of a vector-borne transmission for Mycobacterium ulcerans, the causative agent of Buruli ulcer. ( 0,620530319949026 )
Int J Health Geogr - A country bug in the city: urban infestation by the Chagas disease vector Triatoma infestans in Arequipa, Peru. ( 0,620242801429902 )
Int J Health Geogr - Associations between street connectivity and active transportation. ( 0,617835030484317 )
Int J Health Geogr - Mapping amyotrophic lateral sclerosis lake risk factors across northern New England. ( 0,614947696242908 )
Int J Health Geogr - Alcohol outlets and clusters of violence. ( 0,612023201747304 )
Int J Health Geogr - Temporal and spatial dynamics of Cryptosporidium parvum infection on dairy farms in the New York City Watershed: a cluster analysis based on crude and Bayesian risk estimates. ( 0,609526240064885 )
Int J Health Geogr - International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: the IPEN adult study. ( 0,608367543738867 )
Int J Health Geogr - Hand, foot and mouth disease: spatiotemporal transmission and climate. ( 0,607036243881459 )
Int J Health Geogr - Modelling the variation of land surface temperature as determinant of risk of heat-related health events. ( 0,605550301310498 )
Neural Comput - Optimal population codes for space: grid cells outperform place cells. ( 0,605098265936298 )
Geospat Health - Estimating the global abundance of ground level presence of particulate matter (PM2.5). ( 0,600167258360017 )
Spat Spatiotemporal Epidemiol - The built environment and depressive symptoms among urban youth: A spatial regression study. ( 0,599660786956876 )
Int J Health Geogr - Mapping HIV clustering: a strategy for identifying populations at high risk of HIV infection in sub-Saharan Africa. ( 0,599221526562478 )
Spat Spatiotemporal Epidemiol - Measuring the spatial accuracy of the spatial scan statistic. ( 0,59766346817966 )
Spat Spatiotemporal Epidemiol - Statistical methods for bivariate spatial analysis in marked points. Examples in spatial epidemiology. ( 0,597163533485398 )
Spat Spatiotemporal Epidemiol - The rubber plantation environment and Lassa fever epidemics in Liberia, 2008-2012: a spatial regression. ( 0,594564604878417 )
Int J Health Geogr - Spatial distribution and cluster analysis of sexual risk behaviors reported by young men in Kisumu, Kenya. ( 0,593897863041306 )
Int J Health Geogr - Global spatiotemporal and genetic footprint of the H5N1 avian influenza virus. ( 0,593499487933141 )
IEEE Trans Image Process - Flexible synthesis of video frames based on motion hints. ( 0,592545772271643 )
Spat Spatiotemporal Epidemiol - Adjusted significance cutoffs for hypothesis tests applied with generalized additive models with bivariate smoothers. ( 0,592185858739733 )
Int J Health Geogr - Does context matter for the relationship between deprivation and all-cause mortality? The West vs. the rest of Scotland. ( 0,592156234395861 )
Int J Health Geogr - Modeling the spatial distribution of Chagas disease vectors using environmental variables and people?s knowledge. ( 0,588811977205093 )
Int J Health Geogr - Characterizing the interface between wild ducks and poultry to evaluate the potential of transmission of avian pathogens. ( 0,586782212636627 )
Spat Spatiotemporal Epidemiol - Risk factor modelling of the spatio-temporal patterns of highly pathogenic avian influenza (HPAIV) H5N1: a review. ( 0,58631783102368 )
Int J Health Geogr - Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK. ( 0,585161353026094 )
Int J Health Geogr - Pathogenic landscapes: interactions between land, people, disease vectors, and their animal hosts. ( 0,583105037106109 )
Int J Health Geogr - A spatial approach for the epidemiology of antibiotic use and resistance in community-based studies: the emergence of urban clusters of Escherichia coli quinolone resistance in Sao Paulo, Brasil. ( 0,579634139950442 )
Int J Health Geogr - Schistosomiasis transmission and environmental change: a spatio-temporal analysis in Porto de Galinhas, Pernambuco--Brazil. ( 0,57954087243884 )
Int J Health Geogr - Smart density: A more accurate method of measuring rural residential density for health-related research. ( 0,57933501276938 )
IEEE Trans Image Process - Video saliency incorporating spatiotemporal cues and uncertainty weighting. ( 0,577846596911278 )
Int J Health Geogr - Nonparametric intensity bounds for the delineation of spatial clusters. ( 0,576352639948707 )
Int J Health Geogr - Spatial epidemiology of eastern equine encephalitis in Florida. ( 0,575827328773626 )
Int J Health Geogr - Racial differences in the built environment--body mass index relationship? A geospatial analysis of adolescents in urban neighborhoods. ( 0,574303024227686 )
Int J Health Geogr - Identification and location of hot and cold spots of treated prevalence of depression in Catalonia (Spain). ( 0,573408179023874 )
Int J Health Geogr - A ubiquitous method for street scale spatial data collection and analysis in challenging urban environments: mapping health risks using spatial video in Haiti. ( 0,573100586077045 )
Int J Health Geogr - Highways and outposts: economic development and health threats in the central Brazilian Amazon region. ( 0,572751499729861 )
Int J Health Geogr - Enhancing spatial detection accuracy for syndromic surveillance with street level incidence data. ( 0,572166564158699 )
Int J Health Geogr - A modified version of Moran's I. ( 0,571962132819222 )
Int J Health Geogr - Examining the spatial congruence between data obtained with a novel activity location questionnaire, continuous GPS tracking, and prompted recall surveys. ( 0,570520642915701 )
Int J Health Geogr - Mapping heatwave health risk at the community level for public health action. ( 0,568841269678647 )
Spat Spatiotemporal Epidemiol - How to choose geographical units in ecological studies: proposal and application to campylobacteriosis. ( 0,568566300624946 )
J Med Syst - A small-area study of environmental risk assessment of outdoor falls. ( 0,565593741163993 )
Int J Health Geogr - Developing the atlas of cancer in Queensland: methodological issues. ( 0,565280602681489 )
Int J Health Geogr - Diarrheal disease risk in rural Bangladesh decreases as tubewell density increases: a zero-inflated and geographically weighted analysis. ( 0,565248454497063 )
Geospat Health - Redefining climate regions in the United States of America using satellite remote sensing and machine learning for public health applications. ( 0,565026330996331 )
Int J Health Geogr - Outdoor air pollution, subtypes and severity of ischemic stroke--a small-area level ecological study. ( 0,564061418833929 )
IEEE Trans Vis Comput Graph - Optimal Local Searching for Fast and Robust Textureless 3D Object Tracking in Highly Cluttered Backgrounds. ( 0,563944007403509 )
Spat Spatiotemporal Epidemiol - Prostate cancer incidence in light of the spatial distribution of another screening-detectable cancer. ( 0,56379790810255 )
Int J Health Geogr - Particulate air pollution and health inequalities: a Europe-wide ecological analysis. ( 0,562463630554339 )
Spat Spatiotemporal Epidemiol - Violent crime in San Antonio, Texas: an application of spatial epidemiological methods. ( 0,560247777016945 )
Int J Health Geogr - A novel tool for assessing and summarizing the built environment. ( 0,560085657224891 )
Int J Health Geogr - Spatial-explicit modeling of social vulnerability to malaria in East Africa. ( 0,559397784235031 )
Med Biol Eng Comput - Size matters: MEG empirical and simulation study on source localization of the earliest visual activity in the occipital cortex. ( 0,558055960995368 )
Int J Health Geogr - Associations of supermarket accessibility with obesity and fruit and vegetable consumption in the conterminous United States. ( 0,557816145959241 )
Int J Health Geogr - Creating 'obesogenic realities'; do our methodological choices make a difference when measuring the food environment? ( 0,555884012389129 )
Int J Health Geogr - Comparing self-identified and census-defined neighborhoods among adolescents using GPS and accelerometer. ( 0,554904294325561 )
Spat Spatiotemporal Epidemiol - On the effect of diagnostic misclassification bias on the observed spatial pattern in regional count data--a case study using West Nile virus mortality data from Ontario, 2005. ( 0,554529597975392 )
J Chem Inf Model - Aggregation properties of a polymeric anticancer therapeutic: a coarse-grained modeling study. ( 0,552703877817856 )
Int J Health Geogr - The effects of local street network characteristics on the positional accuracy of automated geocoding for geographic health studies. ( 0,552686038251787 )
Int J Health Geogr - Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina. ( 0,551250598556217 )
Spat Spatiotemporal Epidemiol - Spatio-temporal epidemiology: principles and opportunities. ( 0,550081954199868 )
Int J Health Geogr - Modeling spatial accessibility to parks: a national study. ( 0,549969588793977 )
Int J Health Geogr - Spatial pattern of body mass index among adults in the diabetes study of Northern California (DISTANCE). ( 0,548852393208248 )
J. Med. Internet Res. - Using a geolocation social networking application to calculate the population density of sex-seeking gay men for research and prevention services. ( 0,548610713150008 )
Int J Health Geogr - Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts. ( 0,545701441056808 )
Neural Comput - Variation in the local motion statistics of real-life optic flow scenes. ( 0,54500032348051 )
Int J Health Geogr - Does the choice of neighbourhood supermarket access measure influence associations with individual-level fruit and vegetable consumption? A case study from Glasgow. ( 0,543328863650702 )
Spat Spatiotemporal Epidemiol - Spatial and statistical methodologies to determine the distribution of dengue in Brazilian municipalities and relate incidence with the Health Vulnerability Index. ( 0,542609067603926 )
J Chem Inf Model - Electron density distribution in endohedral complexes of fullerene C60, calculated based on the Gauss law. ( 0,541785018348165 )
Int J Health Geogr - A probabilistic sampling method (PSM) for estimating geographic distance to health services when only the region of residence is known. ( 0,539491599389675 )
J. Med. Internet Res. - Right time, right place health communication on Twitter: value and accuracy of location information. ( 0,539214182636827 )
Int J Health Geogr - Using Landsat satellite data to support pesticide exposure assessment in California. ( 0,537206833052519 )
Int J Health Geogr - Feasibility and utility of mapping disease risk at the neighbourhood level within a Canadian public health unit: an ecological study. ( 0,536717886544759 )
Spat Spatiotemporal Epidemiol - A spatial measure of neighborhood level racial isolation applied to low birthweight, preterm birth, and birthweight in North Carolina. ( 0,536707703909732 )
Int J Health Geogr - An ecological study on childhood autism. ( 0,536493020365289 )
Int J Health Geogr - Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh. ( 0,535354093054547 )
Spat Spatiotemporal Epidemiol - Multivariate Bayesian spatial model of preterm birth and cardiovascular disease among Georgia women: Evidence for life course social determinants of health. ( 0,534733285837974 )
Int J Health Geogr - Urban sprawl, obesity, and cancer mortality in the United States: cross-sectional analysis and methodological challenges. ( 0,534299768222139 )
J Clin Monit Comput - Design and implementation of a hospital wide waveform capture system. ( 0,534054658973224 )
Int J Health Geogr - Proximity of public elementary schools to major roads in Canadian urban areas. ( 0,533614124936173 )
Int J Health Geogr - Relevance of the type III error in epidemiological maps. ( 0,532392394599872 )
Int J Health Geogr - Performance map of a cluster detection test using extended power. ( 0,529287511039701 )
Spat Spatiotemporal Epidemiol - Spatio-temporal modeling of the African swine fever epidemic in the Russian Federation, 2007-2012. ( 0,529254939823864 )
Spat Spatiotemporal Epidemiol - Spatial patterns of human papillomavirus-associated cancers within the state of Minnesota, 1998-2007. ( 0,528669459420167 )