ライフサイエンスコーパス: census

1 dized for the Italian population of the 2011 census.

2 validated using deprivations calculated from census.

3 esidents were enumerated in the door-to-door census.

4 e study, in which we took data from the 2001 Census.

5 (n=20) and Kenya (n=12) using a door-to-door census.

6 and the quantitative proteomic software tool Census.

7 se expectations with data from a global lake census.

8 ors was determined by linkage to the 2000 US Census.

9 s (PHIS) database, all normalized to patient census.

10 population data from the 2010 United States Census.

11 009; SES was measured using the decennial US Census.

12 the Guttmacher Institute's Abortion Provider Census.

13 e mandatory 2001 Statistics Canada long-form census.

14 l administration data normalized for patient census.

15 000 and 2010 National Population and Housing Censuses.

16 old deaths in China from their 1990 and 2010 censuses.

17 the basis for research surveys that build on censuses.

18 dual's county of residence were derived from Census 2000.

19 d poststratification with the (decennial) US Census 2010 counts of census-block population to generat

20 applied to estimates from the US Population Census (2014) to arrive at a population burden of HM at

21 of plant-pollinator interactions from weekly censuses across 3 years in a subalpine ecosystem.

22 We introduce the Census algorithm to convert relative RNA-seq expression

23 es for each year were obtained from the U.S. Census and Centers for Disease Control and Prevention.

24 an their parents-by combining data from U.S. Census and Current Population Survey cross sections with

25 ts of working age (20-59 years) using linked census and death records.

26 Using US census and highway traffic data, we show that traffic ca

27 s at the start of each shift (accounting for census and nursing capacity) was investigated.

28 dels which integrate capture-mark-recapture, census and recruitment data are essential to correctly a

29 Ireland), combining capture-mark-recapture, census and recruitment data collected from 1982 to 2010.

30 ned strain score that took into account unit census and Sequential Organ Failure Assessment score.

31 Using data from the US Census and the 1995-2008 National Longitudinal Study of

32 s linked by census tract to data from the US Census and the National Center for Health Statistics.

33 attempts fail before they would normally be censused and explore whether this early failure can be p

34 In resource-constrained environments where censuses and household surveys are rare, this approach c

35 de record linkage of education (annual pupil census) and maternity (Scottish Morbidity Record 02) dat

36 ol population (all women with data from both censuses) and assessed cluster-level changes.

37 o-ERT notification outcomes, total telemetry census, and cardiopulmonary arrests in comparison with t

38 ecording, studies of cell diversity and cell census, and integrative approaches to circuit function.

39 009-2012, population counts from the 2010 US census, and smoking status estimates from the Behavioral

40 ks, it is unlikely that all interactions are censused, and ignoring incomplete detection of interacti

41 of published and unpublished data, national censuses, and governmental reports.

42 est communities as measured in complete plot censuses, and on overall estimates of seed plant diversi

43 uberculosis Register, population and housing censuses, and the population register for emigrations an

44 We used census- and death registry-linked survey data allowing a

45 1930 and 1938 from the 2001 Ukraine national census as the reference population.

46 whole-genome amplification and demonstrate a census-based strategy for efficient and accurate variant

47 that females that go undetected by standard censusing because they fail early in their breeding atte

48 were significantly positively correlated at census block centroids (r = 0.52), identified the same r

49 a BCC registry to determine rates of BCC by census block group, and used spatial scan statistics to

50 We used a geospatial sound model to estimate census block group-level median (L50) nighttime and dayt

51 ime and daytime noise levels were higher for census block groups with higher proportions of nonwhite

52 specific home addresses, 414.00 m when using census block groups, and 482.50 m when using census trac

53 consistent between urban and suburban/rural census block groups, and for daytime and nighttime noise

54 Neighborhood units were 552 census block groups.

55 my of Periodontology case definitions at the census block levels and aggregated to larger administrat

56 imate the effect of the foreclosure rate per census-block group on glycated hemoglobin.

57 we linked public foreclosure records at the census-block level with clinical records from 2006 to 20

58 ith the (decennial) US Census 2010 counts of census-block population to generate census-block-level S

59 ounts of census-block population to generate census-block-level SAEs of COPD prevalence which could b

60 We apply our approach to all U.S. Census blocks in the contiguous United States to provide

61 Census blocks, the mean probability of arsenic >10 mug/L

62 2014 was estimated using data from the U.S. Census Bureau and the National Health and Nutrition Exam

63 ed by median income percentile using 1999 US Census Bureau data adjusted for inflation: low- (<25th),

64 with linkage to demographic data from the US Census Bureau for median household income (MHI).

65 We used data from the U.S. Census Bureau on population projections from 2016 to 203

66 Population data from the US Census Bureau were combined with the estimated presbyopi

67 raphic microsimulation and the United States Census Bureau's recent national projections of core demo

68 Statistics and population counts from the US Census Bureau, National Center for Health Statistics, an

69 Statistics and population counts from the US Census Bureau, the National Center for Health Statistics

70 istics (NCHS) and population counts from the Census Bureau, the NCHS, and the Human Mortality Databas

71 istics, and population estimates from the US Census Bureau.

72 by funded research, with data from the U.S. Census Bureau.

73 rs by census tract were obtained from the US Census Bureau.

74 ock schedule to smooth the average inpatient census by reducing the maximum average occupancy through

75 cancer-implicated genes from the Cancer Gene Census (CGC).

76 ated the relationship between 5 neighborhood census characteristics (income, education, racial/ethnic

77 n this study, we used data from the baseline census conducted as part of the Saving of Lives from Dro

78 the experiences of the BRAIN Initiative Cell Census Consortium, ten pilot projects funded by the U.S.

79 spital electronic medical records and the US census, constituting a historical prospective cohort stu

80 Census counts can be analyzed with widely used regressio

81 The census covered a population of 1 169 593 from 270 387 ho

82 NSES was calculated using 1990 US Census data (block groups; 6 measures of wealth, educati

83 rhood characteristics were ascertained using census data and cross-referencing with patients' home ge

84 This article uses historical agricultural census data and ecosystem models to estimate the magnitu

85 We used census data and health-care records to define study catc

86 amination Survey prevalences to age-specific census data approximations and published estimates of ho

87 ry analysis of cross-sectional georeferenced census data collected from June to October, 2007, in fiv

88 Using census data collected over 12 years from central Panama

89 This study uses census data for all US metropolitan areas in 1980 and 20

90 were derived from the 2012 China population census data for migrant population according to the dist

91 rvention and comparison wards using baseline census data from 2007 including 225,000 households and 2

92 The US census data from 2010 then were used to calculate the ge

93 60 years (1955-2014) of daily bird migration census data from Fair Isle, Scotland, to comprehensively

94 geographically resolved household survey and census data sources on child deaths to produce estimates

95 We use detailed census data to construct sustainable development indices

96 We also used the census data to estimate the distributions of households

97 wells in the conterminous United States and Census data to estimate the population living in proximi

98 Using census data we identify geographic patterns in residency

99 codes surrounding UPenn were recorded and US census data were queried to infer socioeconomic status.

100 s such as accounting data, voting registers, census data, and even in natural phenomena.

101 We use national census data, ArcGIS geospatial modeling, and statistical

102 ng linear regression models and 2000-2001 US Census data, we investigated the relationship between 5

103 minator data from Australian and New Zealand census data.

104 and race-adjusted national projections using census data.

105 umed a static population distribution as per Census data.

106 Households were represented by georeferenced census data.

107 city classes and applied to comparative tree-census data.

108 ariate analysis was undertaken using 2011 UK census data.

109 measurements, and location-specific hospital census data.

110 nd (iii) the radiation model calibrated with census data.

111 based on NH4-N loads were lower compared to census data.

112 ination of remote sensing, GIS modelling and census data.

113 tudy using a national mortality database and census data.

114 the Swiss general population using national census data.

115 or ethnic minority participants based on US census data.

116 The census dates on which the data were frozen ranged from D

117 mples at a unique opportunity, that is, on a census day, as a basis for a model to estimate the numbe

118 by 3.2% (P < 0.05), and the average weekday census decreased by 2.8% (P < 0.001).

119 d subdomains) and the 2011 England and Wales census demographic and socioeconomic indicators (includi

120 om a temporal land use regression model with Census demographic data to estimate outdoor exposures by

121 The number of prescriptions and census denominators were used to calculate prescribing r

122 pe, geographic region, insurance status, and census-derived median income and education for the patie

123 Linear regression analysis showed that ICU census did not significantly influence sound levels.

124 Multi-level analyses, stratified by census division, revealed significant positive associati

125 pregnancy or a specific trimester) in three census divisions of the United States: Middle Atlantic,

126 al and disease studies, and demonstrate that Census enabled robust analysis at multiple layers of gen

127 ong 1,008 adults (98% response rate) from 63 census enumeration areas of the Western Rural and Wester

128 es for adults and comparison with survey and census estimates for child mortality.

129 Census estimates were used to calculate incidence per 10

130 c hospitals, maternity records, annual pupil census, examinations, school absences and exclusions, an

131 An independently developed regional lake census exhibits a similar transition and consistency wit

132 le), the census global health question (2011 census for England and Wales), health utility (EQ-5D-3L)

133 ith data on citizen-reported health from the Census for England and Wales.

134 of 4476931 inhabitants according to the 2011 census) from January 1, 1995, through December 31, 2014.

135 ted genes were almost 200 COSMIC Cancer Gene Census genes, many of which were recurrently affected in

136 were often ecological in design, used broad census geographic levels, lacked individual-level data,

137 ould be conveniently aggregated to all other census geographic units, such as census tracts, counties

138 intensity (CPG pain intensity subscale), the census global health question (2011 census for England a

139 acy, pain acceptance, pain intensity, or the census global health question at 12 mo.

140 95% CI -4.9 to 3.0), pain intensity, or the census global health question.

141 from a large cohort study (the 2001 Canadian Census Health and Environment Cohort [2001 CanCHEC]), wh

142 from vital registration systems, population censuses, household surveys, and sample registration sys

143 is primarily derived from underwater visual censuses in shallow waters (</=30 m).

144 Using the 2014 American Community Survey (US Census), income inequality (Gini index; range, 0 [perfec

145 sed 1.6% (P < 0.05), and the average weekday census increased by 2% (P < 0.001).

146 Census interviews with women aged 15-49 years were done

147 Census is freely available through our updated single-ce

148 lth Service provider trusts (93%) and 31 865 census lower super output areas (LSOAs; 98%).

149 e-specific, and sex-specific incidence to UK census mid-year population estimates.

150 cial networks, and have assumed a completely censused network.

151 Here, we present a census of 1,542 manually curated RBPs that we have analy

152 Using a census of 121 villages in rural Mali, we analyzed the as

153 ediatric emergency department with an annual census of 76,000 visits.A convenience sample of patients

154 nd data on induced abortions from a national census of abortion providers; the number of miscarriages

155 onfidence bounds of +/-19.3%) for 2012 (last census of agriculture) that are comparable to the curren

156 In the local Universe, the census of all observed baryons falls short of this estim

157 rical and theoretical framework to conduct a census of ciliated cell types, create structural maps, a

158 s to define evolutionary histories, obtain a census of clonal and subclonal events, and assess the re

159 y YdiV and FliZ (respectively) can shape the census of fliC expression independently, and bistability

160 Recent studies have provided a detailed census of genes that are mutated in acute myeloid leukem

161 hes, thus complementing the sequencing-based census of human cancer genes.

162 We conducted a census of interaction types and a meta-analysis of exper

163 ctivations, and also with a reduction in the census of monitored patients, without an increase in car

164 Data from this census of motor vehicles, which enumerated 22 million au

165 out a morphological and electrophysiological census of neuronal types in layers 1, 2/3, and 5 of matu

166 However, a complete census of the constituent cell types and their wiring di

167 g neurons (Hdc-Cre) followed by a systematic census of the membrane properties of both HA and non-HA

168 ave enabled the production of the first-ever census of the NIH-funded extramural research workforce.

169 A census of the population was undertaken and a surveillan

170 quantitative mass spectrometry to perform a census of these complexes (the "SCFome") in various stat

171 addition, we conducted standard point-count censuses of barn swallows across environmental radiation

172 In field censuses of six 1-ha permanent plots, we found that surv

173 justed rates (standardized to the 2000 state census) of admissions, elective and emergency/urgent sur

174 l administration data, normalized to patient census, offers a readily available and standardized meas

175 ject, implemented in rural Bangladesh, did a census on 1.2 million people to fill this gap.

176 youths annually) were obtained from the U.S. Census or health-plan member counts.

177 Alternative methods such as surveys, censuses, or surveillance are not adequate substitutes f

178 alive in 1971 and monitored in 13 mortality censuses over 42 y to 2013.

179 atient volume remained constant, the average census peak decreased by 3.2% (P < 0.05), and the averag

180 ll patients, the volume increased by 9%, the census peak increased 1.6% (P < 0.05), and the average w

181 tuting the ambient dose rate measured at the census points (from 0.16 to 31 muGy h(-1)) with the dose

182 candidates were calculated relative to 2010 census population estimates by ethnicity for non-Hispani

183 -years, age, and sex adjusted to the 2010 US census population estimates were calculated for selected

184 Planning and Research Cooperative System and census population estimates.

185 tality with 95% CIs were estimated using the census population in 2010 as a reference population.

186 mographic mechanisms that underlie the Ne to census population size (N) ratio, remains challenging, e

187 pecies will increase proportionally with the census population size (Nc).

188 nucleotide diversity in herring and its huge census population size.

189 ic data that often are much smaller than the census population size.

190 n body size and species range as proxies for census population size.

191 Model results were combined with US Census population sizes to estimate total number and pre

192 of nucleotide diversity, exceptionally large census population sizes, and frequent positive selection

193 d race/ethnicity distribution of the 2010 US Census population.

194 per capita prevalence by state using the US Census projections (January 1, 2015, through December 31

195 Using US census projections, prevalence of VI and cause-specific

196 tion was associated with a mean 15.5% weekly census reduction in the number of non-ICU monitored pati

197 The prescribing rate was higher in the South census region (931 prescriptions per 1000 persons) than

198 South Central census regions (aOR vs Pacific census region = 5.57, P < .001; aOR = 3.58, P < .001, re

199 scribing practices should focus on the South census region and family practitioners.

200 The West census region had the highest region-specific prevalence

201 ation and poverty levels, geographic region, census region, and year of diagnosis.

202 Subjects were divided by US census region.

203 SS, nationally, and were comparable for each census region.

204 k of diagnosed DED by race, education, or US census region.

205 nd in the New England and East South Central census regions (aOR vs Pacific census region = 5.57, P <

206 mpact of ENSO on infectious diseases in four census regions in the United States.

207 in West South Central, Mountain, and Pacific census regions), and receptor status (lower in patients

208 lence of sensitization did not differ across census regions, except in early childhood.

209 han 48 million unique patients across all US census regions.

210 an Association of Medical Colleges, and U.S. census registries were used to assess differences for 20

211 matic assessment, we used data from national census reports, National Statistical Yearbooks, the Nati

212 near interpolation from the 2000 and 2010 US Census reports.

213 ation estimates can be used: de jure (common census, residence), de facto (all persons within a sewer

214 Census's projection methodology, with the US Census's official projection as the benchmark.

215 developed using a modified version of the US Census's projection methodology, with the US Census's of

216 radiological dose for birds observed at 300 census sites in the 50-km northwest area affected by the

217 chanisms, including ancestral differences in census size, sedentism, exploitation of the natural reso

218 ive size were approximately one-third of the census size.

219 81 unique groups, 14 of which had estimated census sizes of more than 1 million, that descend from f

220 We used a long-term census study (1997-2013) of regenerating lowland wet tro

221 We linked county-level census, survey, administrative, and vital statistics dat

222 esolution scales, obtained from (i) official census surveys, (ii) proxy mobility data extracted from

223 d China between 1970 and 2013 with data from censuses, surveys, surveillance sites, and disease surve

224 murre Uria lomvia) using a UAV and compared censusing techniques to ground photography.

225 Medicare and Medicaid Services and the U.S. Census to summarize the numbers of hospitals, hospital b

226 We linked participant data with 2000 US Census tract data and 2004 census tract-level annual ave

227 hood-level socioeconomic data from 2010 U.S. Census tract data, and determined death dates using the

228 otherwise not associated with region, local census tract demographic characteristics, black race, lo

229 Access to finer geography, such as census tract identifiers, would enable richer analyses-f

230 l differences using dummy variables for each census tract in New Jersey, a state-wide time trend usin

231 t state, county, congressional district, and census tract levels by using periodontal data from the N

232 Income, educational level, and census tract measures of concentrated disadvantage and a

233 as investigated by maternal education, race, census tract poverty level, and county-level urbanicity.

234 come of interest was participants' 2009-2010 census tract poverty rate.

235 ction, and spatial and temporal variability, census tract poverty was significantly and positively as

236 ation in the median hospitalization rates by census tract quintile for bronchiolitis (32.8, 20.8, 14.

237 erature and the mean winter temperature in a census tract significantly modified the effects of long-

238 ce a wide range (but not all) of analyses of census tract socioeconomic cancer disparities and have r

239 lth Interview Survey 2009-2011 was linked by census tract to data from the US Census and the National

240 the percentage of women aged 15-44 years by census tract were obtained from the US Census Bureau.

241 ness or stage at diagnosis and a small area (census tract) SES measure.

242 environment, safety, and social cohesion (by census tract).

243 Deaths were tabulated by age group, sex, census tract, and cause of death.

244 hoods where OHCA occurred were classified by census tract, based on percentage of black residents: le

245 , New York) spanning 7 years (2006-2012) and census tract-based neighborhood sociodemographic data fr

246 INTERPRETATION: This census tract-level analysis of life expectancy and cause

247 data with 2000 US Census tract data and 2004 census tract-level annual average PM2.5 concentrations.

248 After accounting for census tract-level area, population, their interaction,

249 scores, derived from a factor analysis using census tract-level characteristics, as independent varia

250 Census tract-level composite SEP index in quintiles was

251 eneralized estimating equations to determine census tract-level factors associated with differences i

252 the mediation analysis, after accounting for census tract-level measures of federally designated medi

253 r a 2000-2009 follow-up period when matching census tract-level PM2.5 exposure data were available.

254 n the adjusted model, Hispanic ethnicity and census tract-level poverty are the strongest predictors

255 Census tract-level social factors, including rates of il

256 actors that underlie the association between census tract-level socioeconomic measures and MRSA incid

257 s, linked to each geocoded patient, included census tract-level socioeconomic measures obtained from

258 fect modifications by seasonal temperatures, census tract-level socioeconomic variables, and county-l

259 The NDI alone accounted for 32.0% of census tract-level variation in ASCVD event rates, compa

260 gnosis codes and then geocoded to their home census tract.

261 imates of fine particulate matter (PM2.5) by census tract.

262 or location and spatially interpolated O3 to census-tract centroids.

263 We assessed individual-level SES and NSES (Census-tract level) across several SES domains including

264 sociations between ALS risk and SES based on census-tract median income while controlling for age, se

265 actual heat-related hospitalizations at the census-tract scale.

266 ristics included objective measures based on census tracts (family income, poverty, deprivation, resi

267 t variables, and heat hospitalizations (with census tracts categorized as zero-, moderate-, or high-i

268 YLL by cause also varied substantially among census tracts for each cause of death.

269 (YLL) rates from 152 causes of death for 397 census tracts from Jan 1, 1990, to Dec 31, 2014.

270 nd 5 walkability indicators in almost 65,000 census tracts in 48 states and the District of Columbia.

271 thma (aged 6-17 yr; n = 478) from low-income census tracts in eight U.S. cities, and we analyzed viro

272 nts from the general urban community in 6 US Census tracts in La Puente, California.

273 conducted in a general urban community of 10 census tracts in Monterey Park, California.

274 ed from February 2010 to October 2013 for 10 census tracts in Monterey Park, California.

275 correctly classified just over half (54%) of census tracts in Phoenix.

276 lation-based, cross-sectional study of 10 US Census tracts in the city of Monterey Park, California,

277 all low-income and-middle-income countries, census tracts should henceforth be designated slum or no

278 1.16), and more likely among those living in census tracts that received greater public assistance (O

279 This study shows that living in census tracts with higher illiteracy rates increased the

280 crease in mortality associated with PM2.5 in census tracts with more blacks, lower home value, or low

281 5) to 88.4 years (86.9-89.9) for women among census tracts within King County.

282 effect) led youth to live in neighborhoods (census tracts) with an 11 percentage point lower poverty

283 year for bronchiolitis and 1.6 (range across census tracts, 0-4.3) hospitalizations per 1000 children

284 The county rates were 17.5 (range across census tracts, 0-71.4) hospitalizations per 1000 childre

285 o all other census geographic units, such as census tracts, counties, and congressional districts.

286 Compared with all census tracts, high-vulnerability tracts that were miscl

287 census block groups, and 482.50 m when using census tracts, illustrating how neighborhood definition

288 We included 23,065 children living in 5,853 census tracts.

289 amilton County and for each of 222 in-county census tracts.

290 y care clinicians by zip code relative to US Census Urban Areas.

291 ted from publicly available data from the US Census, US News Top Hospitals, Society of Thoracic Surge

292 mic influences on %TRM were assessed using 8 census variables from 2012.

293 The total population as of the 2011 census was 26.6 million, with an average annual populati

294 The census was implemented in 51 unions from seven purposive

295 es, the American Medical Association, and US Census were used to evaluate the differences and trends

296 tion rate (TMR), degrees C y(-1)] across all censuses were 0.011 degrees C y(-1) (95% confidence inte

297 les (UAVs) provide an opportunity to rapidly census wildlife in remote areas while removing some of t

298 re deep diving elusive animals, difficult to census with conventional visual surveys.

299 s coded into more than 60 groups in the 2001 census, with mortality follow-up until Dec 31, 2011.

300 ented during shallow water underwater visual censuses, with up to an order of magnitude more jacks an