Int J Health Geogr - A modified version of Moran's I.

Tópicos

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

Resumo

CKGROUND: Investigation of global clustering patterns across regions is very important in spatial data analysis. Moran's I is a widely used spatial statistic for detecting global spatial patterns such as an east-west trend or an unusually large cluster. Here, we intend to improve Moran's I for evaluating global clustering patterns by including the weight function in the variance, introducing a population density (PD) weight function in the statistics, and conducting Monte Carlo simulation for testing. We compare our modified Moran's I with Oden's I*pop for simulated data with homogeneous populations. The proposed method is applied to a census tract data set.METHODS: We present a modified version of Moran's I which includes information about the strength of the neighboring association when estimating the variance for the statistic. We provide a power analysis on Moran's I, a modified version of Moran's I, and I*pop in a simulation study. Data were simulated under two common spatial correlation scenarios of local and global clustering.RESULTS: For simulated data with a large cluster pattern, the modified Moran's I has the highest power (43.4%) compared to Moran's I (39.9%) and I*pop (12.4%) when the adjacent weight function is used with 5%, 10%, 15%, 20%, or 30% of the total population as the geographic range for the cluster.For two global clustering patterns, the modified Moran's I (power > 25.3%) performed better than both Moran's I (> 24.6%) and I*pop (> 7.9%) with the adjacent weight function. With the population density weight function, all methods performed equally well.In the real data example, all statistics indicate the existence of a global clustering pattern in a leukemia data set. The modified Moran's I has the lowest p-value (.0014) followed by Moran's I (.0156) and I*pop (.011).CONCLUSIONS: Our power analysis and simulation study show that the modified Moran's I achieved higher power than Moran's I and I*pop for evaluating global and local clustering patterns on geographic data with homogeneous populations. The inclusion of the PD weight function which in turn redefines the neighbors seems to have a large impact on the power of detecting global clustering patterns. Our methods to improve the original version of Moran's I for homogeneous populations can also be extended to some alternative versions of Moran's I methods developed for heterogeneous populations.

Resumo Limpo

ckground investig global cluster pattern across region import spatial data analysi moran wide use spatial statist detect global spatial pattern eastwest trend unusu larg cluster intend improv moran evalu global cluster pattern includ weight function varianc introduc popul densiti pd weight function statist conduct mont carlo simul test compar modifi moran oden ipop simul data homogen popul propos method appli census tract data setmethod present modifi version moran includ inform strength neighbor associ estim varianc statist provid power analysi moran modifi version moran ipop simul studi data simul two common spatial correl scenario local global clusteringresult simul data larg cluster pattern modifi moran highest power compar moran ipop adjac weight function use total popul geograph rang clusterfor two global cluster pattern modifi moran power perform better moran ipop adjac weight function popul densiti weight function method perform equal wellin real data exampl statist indic exist global cluster pattern leukemia data set modifi moran lowest pvalu follow moran ipop conclus power analysi simul studi show modifi moran achiev higher power moran ipop evalu global local cluster pattern geograph data homogen popul inclus pd weight function turn redefin neighbor seem larg impact power detect global cluster pattern method improv origin version moran homogen popul can also extend altern version moran method develop heterogen popul

Resumos Similares

Int J Health Geogr - Nonparametric intensity bounds for the delineation of spatial clusters. ( 0,860966819190614 )
Int J Health Geogr - Density estimation and adaptive bandwidths: a primer for public health practitioners. ( 0,849136658655636 )
Int J Health Geogr - The effect of spatial aggregation on performance when mapping a risk of disease. ( 0,844637192672042 )
Int J Health Geogr - A high resolution spatial population database of Somalia for disease risk mapping. ( 0,841667585188343 )
Int J Health Geogr - Identifying landscape features associated with Rift Valley fever virus transmission, Ferlo region, Senegal, using very high spatial resolution satellite imagery. ( 0,82815082009283 )
J Integr Bioinform - Inter-dinucleotide distances in the human genome: an analysis of the whole-genome and protein-coding distributions. ( 0,824886334028706 )
Int J Health Geogr - Geospatial association of endemicity of ataxic polyneuropathy and highly cyanogenic cassava cultivars. ( 0,824392051265537 )
Int J Health Geogr - Identification and location of hot and cold spots of treated prevalence of depression in Catalonia (Spain). ( 0,82272000008035 )
Spat Spatiotemporal Epidemiol - Statistical methods for bivariate spatial analysis in marked points. Examples in spatial epidemiology. ( 0,811115253178252 )
Int J Health Geogr - Modeling the spatial distribution of Chagas disease vectors using environmental variables and people?s knowledge. ( 0,810510681089169 )
Spat Spatiotemporal Epidemiol - Quantifying the magnitude of environmental exposure misclassification when using imprecise address proxies in public health research. ( 0,805224776221109 )
Int J Health Geogr - Mapping HIV clustering: a strategy for identifying populations at high risk of HIV infection in sub-Saharan Africa. ( 0,798284113164499 )
Neural Comput - Optimal population codes for space: grid cells outperform place cells. ( 0,794024796615468 )
Int J Health Geogr - Modelling the variation of land surface temperature as determinant of risk of heat-related health events. ( 0,785384189343005 )
Int J Health Geogr - Alcohol outlets and clusters of violence. ( 0,78254396044229 )
Spat Spatiotemporal Epidemiol - The rubber plantation environment and Lassa fever epidemics in Liberia, 2008-2012: a spatial regression. ( 0,780888874933682 )
Int J Health Geogr - Enhancing spatial detection accuracy for syndromic surveillance with street level incidence data. ( 0,77352660679484 )
Int J Health Geogr - A country bug in the city: urban infestation by the Chagas disease vector Triatoma infestans in Arequipa, Peru. ( 0,771104844548401 )
Int J Health Geogr - How do changes to the built environment influence walking behaviors? A longitudinal study within a university campus in Hong Kong. ( 0,763925274133479 )
Spat Spatiotemporal Epidemiol - Statistical power of disease cluster and clustering tests for rare diseases: a simulation study of point sources. ( 0,763104218678459 )
Int J Health Geogr - Pathogenic landscapes: interactions between land, people, disease vectors, and their animal hosts. ( 0,762631999623314 )
Int J Health Geogr - Agricultural landscape and spatial distribution of Toxoplasma gondii in rural environment: an agent-based model. ( 0,762215414249042 )
Int J Health Geogr - Hand, foot and mouth disease: spatiotemporal transmission and climate. ( 0,760564985680914 )
Spat Spatiotemporal Epidemiol - How to choose geographical units in ecological studies: proposal and application to campylobacteriosis. ( 0,759944419382169 )
Spat Spatiotemporal Epidemiol - Adjusted significance cutoffs for hypothesis tests applied with generalized additive models with bivariate smoothers. ( 0,756635125919626 )
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. ( 0,753105351020411 )
Int J Health Geogr - Demarcation of local neighborhoods to study relations between contextual factors and health. ( 0,750961828214242 )
Int J Health Geogr - Does context matter for the relationship between deprivation and all-cause mortality? The West vs. the rest of Scotland. ( 0,749931823276548 )
Int J Health Geogr - Spatial distribution and cluster analysis of sexual risk behaviors reported by young men in Kisumu, Kenya. ( 0,747085968003571 )
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. ( 0,742333078537551 )
Int J Health Geogr - Smart density: A more accurate method of measuring rural residential density for health-related research. ( 0,741034803377554 )
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. ( 0,739680648502486 )
Spat Spatiotemporal Epidemiol - The built environment and depressive symptoms among urban youth: A spatial regression study. ( 0,737889188019201 )
Int J Health Geogr - Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh. ( 0,734548345862905 )
Int J Health Geogr - A probabilistic sampling method (PSM) for estimating geographic distance to health services when only the region of residence is known. ( 0,7316984249419 )
Spat Spatiotemporal Epidemiol - An examination of five spatial disease clustering methodologies for the identification of childhood cancer clusters in Alberta, Canada. ( 0,730969202214865 )
Int J Health Geogr - Schistosomiasis transmission and environmental change: a spatio-temporal analysis in Porto de Galinhas, Pernambuco--Brazil. ( 0,730356115680142 )
Int J Health Geogr - Global spatiotemporal and genetic footprint of the H5N1 avian influenza virus. ( 0,728708124878776 )
Spat Spatiotemporal Epidemiol - Prostate cancer incidence in light of the spatial distribution of another screening-detectable cancer. ( 0,728487409511773 )
Int J Health Geogr - Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK. ( 0,726155117884688 )
Int J Health Geogr - Retrospective space-time analysis of H5N1 Avian Influenza emergence in Thailand. ( 0,723887722018409 )
Int J Health Geogr - Terra and Aqua satellites track tiger mosquito invasion: modelling the potential distribution of Aedes albopictus in north-eastern Italy. ( 0,721477388176488 )
Int J Health Geogr - Developing the atlas of cancer in Queensland: methodological issues. ( 0,711160305851518 )
J Med Syst - A small-area study of environmental risk assessment of outdoor falls. ( 0,709945114342937 )
Int J Health Geogr - Modeling spatial accessibility to parks: a national study. ( 0,709863288841935 )
Int J Health Geogr - Spatial epidemiology of eastern equine encephalitis in Florida. ( 0,708548358277887 )
Comput Biol Chem - DNA clustering and genome complexity. ( 0,706759388111791 )
Int J Health Geogr - Data-driven inference for the spatial scan statistic. ( 0,705586177461581 )
Int J Health Geogr - The effects of local street network characteristics on the positional accuracy of automated geocoding for geographic health studies. ( 0,705567990361637 )
Int J Health Geogr - Highways and outposts: economic development and health threats in the central Brazilian Amazon region. ( 0,701008819896776 )
Int J Health Geogr - An open source software for fast grid-based data-mining in spatial epidemiology (FGBASE). ( 0,694589266436 )
Int J Health Geogr - International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: the IPEN adult study. ( 0,692723641680076 )
Int J Health Geogr - Associations of supermarket accessibility with obesity and fruit and vegetable consumption in the conterminous United States. ( 0,690918165357798 )
Int J Health Geogr - Relevance of the type III error in epidemiological maps. ( 0,690077906609089 )
Int J Health Geogr - The modifiable areal unit problem (MAUP) in the relationship between exposure to NO2 and respiratory health. ( 0,6879923175577 )
Int J Health Geogr - Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina. ( 0,684987597010649 )
Int J Health Geogr - Spatial pattern of body mass index among adults in the diabetes study of Northern California (DISTANCE). ( 0,684753086755363 )
Spat Spatiotemporal Epidemiol - Violent crime in San Antonio, Texas: an application of spatial epidemiological methods. ( 0,683863813213536 )
Int J Health Geogr - A novel tool for assessing and summarizing the built environment. ( 0,683134197254308 )
Int J Health Geogr - Can a deprivation index be used legitimately over both urban and rural areas? ( 0,682350856186076 )
Int J Health Geogr - Racial differences in the built environment--body mass index relationship? A geospatial analysis of adolescents in urban neighborhoods. ( 0,681549879683147 )
Int J Health Geogr - Potential corridors and barriers for plague spread in Central Asia. ( 0,681370745673943 )
Int J Health Geogr - A power comparison of generalized additive models and the spatial scan statistic in a case-control setting. ( 0,677902235172797 )
Int J Health Geogr - Outdoor air pollution, subtypes and severity of ischemic stroke--a small-area level ecological study. ( 0,677824681653366 )
J Chem Inf Model - Aggregation properties of a polymeric anticancer therapeutic: a coarse-grained modeling study. ( 0,677233688994436 )
Int J Health Geogr - Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study. ( 0,676703863143424 )
Spat Spatiotemporal Epidemiol - Spatial patterns of human papillomavirus-associated cancers within the state of Minnesota, 1998-2007. ( 0,676584320832093 )
Int J Health Geogr - Particulate air pollution and health inequalities: a Europe-wide ecological analysis. ( 0,675385553693299 )
Int J Health Geogr - Spatial heterogeneity of type I error for local cluster detection tests. ( 0,67444193600503 )
Spat Spatiotemporal Epidemiol - Spatial error in geocoding physician location data from the AMA Physician Masterfile: implications for spatial accessibility analysis. ( 0,67420059645004 )
Spat Spatiotemporal Epidemiol - Spatial and statistical methodologies to determine the distribution of dengue in Brazilian municipalities and relate incidence with the Health Vulnerability Index. ( 0,67276499788728 )
Int J Health Geogr - The spatial distribution of esophageal and gastric cancer in Caspian region of Iran: an ecological analysis of diet and socio-economic influences. ( 0,672157317147152 )
Int J Health Geogr - An application of the edge effect in measuring accessibility to multiple food retailer types in southwestern Ontario, Canada. ( 0,67156669663597 )
Spat Spatiotemporal Epidemiol - Spatio-temporal epidemiology: principles and opportunities. ( 0,67074907259391 )
Int J Health Geogr - Diarrheal disease risk in rural Bangladesh decreases as tubewell density increases: a zero-inflated and geographically weighted analysis. ( 0,670435220841986 )
Int J Health Geogr - Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters. ( 0,669945493908978 )
Int J Health Geogr - Feasibility and utility of mapping disease risk at the neighbourhood level within a Canadian public health unit: an ecological study. ( 0,669251406847489 )
Int J Health Geogr - Performance map of a cluster detection test using extended power. ( 0,662444059400109 )
Spat Spatiotemporal Epidemiol - Risk factor modelling of the spatio-temporal patterns of highly pathogenic avian influenza (HPAIV) H5N1: a review. ( 0,658867871119274 )
Int J Health Geogr - Urban sprawl, obesity, and cancer mortality in the United States: cross-sectional analysis and methodological challenges. ( 0,658136724851376 )
J Chem Inf Model - Electron density distribution in endohedral complexes of fullerene C60, calculated based on the Gauss law. ( 0,657591919130701 )
Geospat Health - Redefining climate regions in the United States of America using satellite remote sensing and machine learning for public health applications. ( 0,656113913874032 )
Spat Spatiotemporal Epidemiol - Generalizing the spatial relative risk function. ( 0,655128688144675 )
Int J Health Geogr - Mapping heatwave health risk at the community level for public health action. ( 0,653811018228884 )
Int J Health Geogr - Spatial-explicit modeling of social vulnerability to malaria in East Africa. ( 0,653695221401876 )
Int J Health Geogr - Proximity of public elementary schools to major roads in Canadian urban areas. ( 0,646908123840797 )
Spat Spatiotemporal Epidemiol - Using geographical information systems and cartograms as a health service quality improvement tool. ( 0,645258925455853 )
Int J Health Geogr - Effects of georeferencing effort on mapping monkeypox case distributions and transmission risk. ( 0,645229090976964 )
Spat Spatiotemporal Epidemiol - Racial residential segregation impacts on low birth weight using improved neighborhood boundary definitions. ( 0,644351507077692 )
Int J Health Geogr - Enabling methods for community health mapping in developing countries. ( 0,643678407600195 )
Int J Health Geogr - Land-use and land-cover assessment for the study of lifestyle change in a rural Mexican community: the Maycoba project. ( 0,639159404128755 )
Int J Health Geogr - Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping. ( 0,636549640446235 )
Spat Spatiotemporal Epidemiol - A spatial measure of neighborhood level racial isolation applied to low birthweight, preterm birth, and birthweight in North Carolina. ( 0,63557222941284 )
Int J Health Geogr - Geographical variation of Crohn's disease residual incidence in the Province of Quebec, Canada. ( 0,635555146578521 )
Int J Health Geogr - Voronoi distance based prospective space-time scans for point data sets: a dengue fever cluster analysis in a southeast Brazilian town. ( 0,634998088671558 )
Int J Health Geogr - Associations between street connectivity and active transportation. ( 0,633430791721743 )
Int J Health Geogr - Creating 'obesogenic realities'; do our methodological choices make a difference when measuring the food environment? ( 0,633096871181816 )
Spat Spatiotemporal Epidemiol - Estimating the effects of environmental exposures using a weighted mean of monitoring stations. ( 0,633060534009553 )
Comput Biol Chem - Evidence of a cancer type-specific distribution for consecutive somatic mutation distances. ( 0,632135891606105 )
Int J Health Geogr - Zoom in at African country level: potential climate induced changes in areas of suitability for survival of malaria vectors. ( 0,631831738263445 )