ライフサイエンスコーパス: county

1 atients, and median income of the hospital's county).

2 n Rong county and in a 5:6 ratio in Liujiang county).

3 Latin American-born residents of Los Angeles County.

4 at a local, neighbourhood level within this county.

5 Randomisation was stratified by county.

6 esults registries of Georgia and Los Angeles County.

7 antly to geographical inequality within King County.

8 n average of 94% of damages occurring out-of-county.

9 Bong County, and Tellewoyan Hospital in Lofa County.

10 .01]) in Martinique exceeded that in Olmsted County.

11 nd in the southern parts of Chicago and Cook County.

12 in those undergoing HIV testing in San Diego County.

13 tality rates from cardiovascular diseases by county.

14 y and year, as well as linear time trends by county.

15 9) for women among census tracts within King County.

16 for all age groups and for three of the four counties.

17 , excluding 6C, was more pronounced in PCV13 counties.

18 rass production for three marginal land-rich counties.

19 sk factors have relied on data aggregated to counties.

20 and differences in cancer mortality among US counties.

21 with type 2 diabetes living in 9 California counties.

22 ss of residential location in urban or rural counties.

23 1 hospitals in 326 urban districts and rural counties.

24 r to reduce CVD mortality disparities across counties.

25 ing 28 million Medicare beneficiaries in 708 counties.

26 s mellitus, and smoking within and across US counties.

27 ies, whereas serotype 19A increased in PCV10 counties.

28 inct Koppen-Geiger climates and 2,373 unique counties.

29 uting between restriction and nonrestriction counties.

30 and same-day PM2.5 with higher risk in urban counties: 0.35% [95% posterior interval (PI): -0.71%, 1.

31 ower-education counties than higher-educated counties (12.7% vs. 6.1%).

32 ll 25 eligible township hospitals in the two counties (14 hospitals in Rong county and 11 in Liujiang

33 ively) than southern states and metropolitan counties (6.8/100000 and 11.0/100000, respectively).

34 the least-urban counties; in the most-urban counties, a 1.13% (0.73%, 1.54%) increase was observed.

35 nsumption as functions of land use in Fresno County, a key farming region in California's Central Val

36 edicare for a YAG laser capsulotomy, and the county addresses of the corresponding Medicare beneficia

37 rginal land definitions at the United States county, agro-ecological zone, and national scales, and c

38 plies >30 000 people infected in Los Angeles County alone, making CD an important public health conce

39 Using CHVI we identified the most vulnerable counties and determined that these communities experienc

40 diagnostic and treatment availability across counties and facility levels.

41 f underreporting were higher in lower income counties and for decedents killed by non-firearm mechani

42 f candy-testing data indicated that multiple counties and ZIP codes were affected.

43 ls in the two counties (14 hospitals in Rong county and 11 in Liujiang county), and randomly allocate

44 with a database of synthetic storms in Ocean County and estimates a 16% average reduction in annual f

45 gy and End Results registries of Los Angeles County and Georgia.

46 or the control group (in a 1:1 ratio in Rong county and in a 5:6 ratio in Liujiang county).

47 omisation; balanced distribution in terms of county and proximity to a city) to immediate versus dela

48 ance to an abortion clinic for women in each county and the median and 80th percentile distances for

49 cs were accounted for using fixed effects by county and year, as well as linear time trends by county

50 y surface water allocations from outside the county and, to a much greater extent, private groundwate

51 eline antibiotic prescription rate, stratum (county), and potentially confounding patient and prescri

52 hospitals in Rong county and 11 in Liujiang county), and randomly allocated 12 to the intervention g

53 d changes in mortality rates over time among counties, and geographic patterns differed by cause.

54 ns of persons who were black, lived in urban counties, and lived in California were exposed to more t

55 sts, were matched by age group (+/-5 years), county, and month of hospitalization for case patients.

56 n Montserrado County, Phebe Hospital in Bong County, and Tellewoyan Hospital in Lofa County.

57 erentiated approach to tuberculosis care, by county, and the distinct need for better referral system

58 ithin a week at a sports school in Mingguang County, Anhui Province, where no previous incidence of t

59 dren and adolescents with asthma in Hamilton County (approximately 13 000 of whom are Medicaid insure

60 the late 21st century, the poorest third of counties are projected to experience damages between 2 a

61 t that total soil organic carbon changes per county are small, and generally positive, and can influe

62 iladelphia County, Pennsylvania, or Maricopa County, Arizona.

63 sed poverty level rankings of groups of U.S. counties as a basis for analyzing inequality in mortalit

64 rdiovascular disease mortality rates between counties at the 10th and 90th percentile declined 14.6%

65 In 2014, the ratio between counties at the 90th and 10th percentile was 2.0 for isc

66 ervices at the national level and for all 47 counties at the subnational level in Kenya.

67 piratory outcomes were obtained for the five-county Atlanta metropolitan area.

68 ctions were only implemented in highly urban counties, based on US Department of Agriculture Economic

69 se were initiated in 11 New York State (NYS) counties between 2007 and 2011.

70 Serotype 6C increased in PCV10 counties, but not in PCV13 counties, suggesting cross-pr

71 ow-income counties lagged behind high-income counties by 4.3 (95% CI, 3.1-5.9) years.

72 Results registries (Georgia and Los Angeles County, California) and surveyed about their experiences

73 r 100,000 field-level observations from Kern County, California, encompassing the years 2005-2013 to

74 identified from the Georgia and Los Angeles County, California, Surveillance, Epidemiology, and End

75 lculated for patient age, provider type, and county characteristics (rural vs metropolitan; poverty r

76 Temporal trends and county characteristics were accounted for using fixed ef

77 h data from newly sequenced HCCs from Qidong County, China, a region of well-studied aflatoxin exposu

78 114.7-146.0) per 100000 population in Summit County, Colorado, to 386.9 (95% UI, 330.5-450.7) in Nort

79 2014 from 70.7 (95% UI, 63.2-79.0) in Summit County, Colorado, to 503.1 (95% UI, 464.9-545.4) in Unio

80 The Imperial County Community Air Monitoring Network (the Network) is

81 e of traditional CVD risk factors may reduce county CVD mortality levels, but improving socioeconomic

82 ite, decedents in lower versus higher income counties, decedents killed by non-firearm (e.g., Taser)

83 raphic data were obtained from the San Diego County Department of Public Health and the Early Test pr

84 States and counties each varied substantially in the proportion of

85 e from 1.8 to 15.4 gallons per day across 18 counties examined.

86 k for respiratory hospitalizations; in urban counties, exposure is associated with increased risk of

87 animals or during influenza surveillance at county fairs.

88 ado, to 503.1 (95% UI, 464.9-545.4) in Union County, Florida.

89 of the deployment of Uber in US metropolitan counties from 2005 to 2014 to test the association betwe

90 imate age-standardized mortality rates by US county from 29 cancers.

91 estimate age-standardized mortality rates by county from chronic respiratory diseases.

92 All hospitals were required to be level 2A county general hospitals and ART delivery sites.

93 In addition, 31 counties had geographic clusters of high rates of pertus

94 s aged 2 to 17 years who resided in Hamilton County, had a diagnosis of asthma, and were Medicaid ins

95 ased surveillance in several Southeast Asian counties has led to increased case recognition, includin

96 -2015), the total annual water yield for the county has varied dramatically from approximately 0.97 t

97 -quality plan, with 78% of plans in the same county having higher quality for preventive care, 71.1%

98 i-Ethnic Study of Atherosclerosis, and Starr County Health Studies population-based cohorts were meta

99 Data from the county health system's administrative database were obta

100 m a cohort of U6M infants admitted to Kilifi County Hospital (2007-2013), Kenya.

101 surveillance linked to admissions to Kilifi County Hospital).

102 onths at the ICU and HDU of the Royal Sussex County Hospital, Brighton, England.

103 nagement proportions significantly higher at county hospitals compared to township health centers (OR

104 clinics, 207 township health centers, and 21 county hospitals.

105 er proportions of correct case management in county hospitals.

106 irearm-related injuries in residents of Cook County, Illinois, from January 1, 2009, to December 31,

107 376 (54.4%) were aged 15 to 24 years.In Cook County, Illinois, where there are 19 trauma centers, 284

108 aims of Medicaid-insured children in 34 Ohio counties in 2014.

109 began earlier, spread to more districts and counties in affected provinces, and had more confirmed c

110 Xuanwei and Fuyuan counties in China have the highest lung cancer rates in

111 event from flood-affected postcodes in five counties in England.

112 The setting was 16 counties in North Carolina.

113 rting to 28 hospitals in 2 rural and 5 urban counties in Oregon and Washington.

114 Geisinger Clinic, a health system serving 45 counties in Pennsylvania.

115 ve study evaluated cataract patients from 13 counties in Sao Paulo State in 2014.

116 the EQI and mortality rates (CDC WONDER) for counties in the contiguous United States (n = 3,109) wer

117 , and smoking exist within states and within counties in the continental United States, and the patte

118 Forty-five percent of the counties in the study had high rates of nonmedical vacci

119 WA, USA, is in the 95th percentile among all counties in the USA.

120 were observed in North and South Dakota and counties in West Virginia, Ohio, Indiana, Louisiana, Okl

121 quity in access to maternity care in 42 poor counties in western China.

122 iated health benefits are up to $4.3 million/county in 2011, with impacts focused in the Midwest and

123 based upon the number of wells drilled in a county in a single year, inadequately account for spatia

124 icantly different regardless of the store or county in which they were sampled.

125 se in PM2.5, was observed in the least-urban counties; in the most-urban counties, a 1.13% (0.73%, 1.

126 d to experience damages between 2 and 20% of county income (90% chance) under business-as-usual emiss

127 in AMI hospitalizations was similar for all county income groups; however, low-income counties lagge

128 Residence in rural or high-poverty counties increased odds of treatment.

129 Among 117295 respondents who resided in 828 counties, individual-level data were obtained from the B

130 oisture solids can be treated using existing county infrastructure, and this fraction increases to 99

131 Substantial differences exist between county ischemic heart disease and stroke mortality rates

132 -based randomized clinical trial in 31 rural counties (June 24, 2009, to August 26, 2015-the final da

133 s-sectional surveys in 3 sites within Kilifi County, Kenya, that had variable transmission intensitie

134 hough hospitalization rates among low-income counties lag behind those of the higher income groups.

135 ll county income groups; however, low-income counties lagged behind high-income counties by 4.3 (95%

136 across the mainland USA and matched this to county level ambient PM2.5.

137 Urbanization status was defined at the county level and neighborhood poverty at the zip-code le

138 Rural was defined at the county level by 60 minutes or more driving proximity to

139 We used county level data for T2D prevalence across the mainland

140 ounty-level variables were aggregated at the county level from the Behavioral Risk Factor Surveillanc

141 hly food waste generation in California at a county level, and its potential contribution to the stat

142 files include geographic information at the county level, but no finer.

143 At a county level, there was marked variation in rates of sur

144 levance: Contextual factors, measured at the county level, were associated with eye care use independ

145 were used to examine the association between county-level characteristics and eye care use after adju

146 Here, we analyze county-level corn and soybean yields and observed climat

147 Here, we explore how changes in county-level corn spatial distribution pattern modulate

148 odel that controlled for all individual- and county-level covariates, decedents injured by non-firear

149 County-level death rates and national life tables for ea

150 ed intake-based emission factors to estimate county-level enteric methane emissions for cattle and ma

151 n cardiovascular mortality is well-known but county-level estimates for all major cardiovascular cond

152 hbourhoods in King County that are masked by county-level estimates.

153 County-level exposure was defined at baseline as the ann

154 sus tract-level socioeconomic variables, and county-level health conditions.

155 249 physicians from the 51 county-level hospitals were enrolled, 121 physicians in

156 the association between Chetty and Hendren's county-level measure of intergenerational mobility and c

157 Control and Prevention were used to simulate county-level MMR vaccination coverage in children (age 2

158 County-level mortality data for the years 1993-2005 were

159 cs, and Human Mortality Database to estimate county-level mortality rates from 1980 to 2014 for chron

160 area estimation models were used to estimate county-level mortality rates from 29 cancers: lip and or

161 area estimation models were used to estimate county-level mortality rates from all cardiovascular dis

162 ined the association between dust storms and county-level non-accidental mortality in the United Stat

163 s index with survey-based model estimates of county-level opinion about whether global warming is hap

164 We estimated annual mean county-level PM2.5 concentrations in 1980, 1990, 2000, a

165 s after adjusting for age, sex, race, stage, county-level poverty, and treatment history in cases of

166 County-level rates of bystander cardiopulmonary resuscit

167 ospatial autocorrelation methods, we defined county-level sepsis mortality as strongly clustered, mod

168 e since vaccination, adjusted for age, time, county-level tuberculosis rates, and demographic and soc

169 All county-level variables were aggregated at the county lev

170 d salts at two stormwater ponds in Baltimore County, Maryland.

171 out dementia in 3 US communities (Washington County, Maryland; Forsyth County, North Carolina; and Ja

172 e setting was ARIC field centers (Washington County, Maryland; Forsyth County, North Carolina; Jackso

173 ; median, 8.8%) and from 5.2% to 17.9% among counties (mean, 9.2%; median, 8.8%).

174 ator type [medical examiner versus coroner], county median income, and county urbanicity) in the NVSS

175 METHOD: The Suffolk County Mental Health Project recruited first-admission p

176 Data came from the Suffolk County Mental Health Project, a 20-year prospective stud

177 e from June 2014 to November 2015 in Genesee County, MI (where Flint is located) was directly linked

178 tested sera from 31,255 residents of Olmsted County, Minnesota (<50 y), without a prior diagnosis of

179 cident HF in 170 female residents of Olmsted County, Minnesota (59 cases and 111 controls), who under

180 All residents of Olmsted County, Minnesota, diagnosed with IIH between January 1,

181 D and other types of parkinsonism in Olmsted County, Minnesota, from 1976 to 2005.

182 population-based incidence study in Olmsted County, Minnesota, from 2001 through 2010.

183 gy Project resources to identify all Olmsted County, Minnesota, residents with incident or recurrent

184 l patient-physician encounters among Olmsted County, Minnesota, residents.

185 es of isolated fourth nerve palsy in Olmsted County, Minnesota, USA diagnosed over a 15-year period (

186 es of IVA between 2005 and 2013 from Olmsted County, Minnesota, using the Rochester Epidemiology Proj

187 system to identify all residents in Olmsted County, Minnesota, who received a diagnostic code of par

188 <19 years) diagnosed as residents in Olmsted County, Minnesota, with any form of nystagmus from Janua

189 on-based study of cognitive aging in Olmsted County, Minnesota.

190 0,000 person-years from 2001-2010 in Olmsted County, Minnesota.

191 pulation-based study of residents of Olmsted County, Minnesota.

192 aphylaxis during a 10-year period in Olmsted County, Minnesota.

193 in the Mayo Clinic Study of Aging in Olmsted County, Minnesota.

194 the time of incident HF diagnosis in Olmsted County, MN, from 2000 to 2012.

195 all individuals aged 50-89 years in Olmsted County, MN, USA.

196 annual flood losses in Barnegat Bay in Ocean County, New Jersey.

197 sychosis from all inpatient units of Suffolk County, New York (response rate, 72%).

198 based sample of 1348 participants from Bronx County, New York, who were 70 years or older without dem

199 nities (Washington County, Maryland; Forsyth County, North Carolina; and Jackson, Mississippi) who ha

200 enters (Washington County, Maryland; Forsyth County, North Carolina; Jackson, Mississippi; and Minnea

201 ealthcare exposures) from 2009 to 2011 in 33 counties of 9 states.

202 on and mortality rates of AMI declined among counties of all income levels, although hospitalization

203 re receiving obstetrical care in the Swedish counties of Gotland and Stockholm.

204 were primary care township hospitals in two counties of Guangxi province in China, which were random

205 The 3110 counties of residence.

206 Nonrestriction counties of similar urbanicity were chosen to make a com

207 case study based on an average suburban U.S. county of 500000 people generating 320000 Mg of waste an

208 n prescriptions dispensed were determined by county of patient residence.

209 2006-2010 were linked by interview date and county of residence to estimates of daily averages of PM

210 ioeconomic status data for each individual's county of residence were derived from Census 2000.

211 matched with five controls for age, sex, and county of residence who were randomly selected from the

212 ered exposed if an SSO event occurred in the county of residence within three hazard periods, 0-4 d,

213 rates were calculated by year, age, sex, and county of residence.

214 County of residence.

215 ion models adjusted for age at diagnosis and county of residence.

216 s with an intermediate form of ARO, from the county of Vasterbotten in Northern Sweden.

217 ologic diseases were compared with age-/sex-/county-of-residence-matched general population controls.

218 rs of age with ARI and residence in Hamilton County, Ohio were enrolled from the inpatient and emerge

219 rban academic pediatric hospital in Hamilton County, Ohio.

220 ured pediatric patients residing in Hamilton County, Ohio.

221 from 40 low-cost sensors throughout Imperial County, one of the largest community-based air networks

222 for GI illness overall, and associations by county or age were inconsistent.

223 ikely outside of the highest-income-quintile counties (OR for the lowest versus highest income quinti

224 f a serious criminal offense in Philadelphia County, Pennsylvania, or Maricopa County, Arizona.

225 Liberia: Redemption Hospital in Montserrado County, Phebe Hospital in Bong County, and Tellewoyan Ho

226 These factors included county prevalence rates for asthma in children and adult

227 verage age of 53 years, from two Los Angeles County public hospitals into an RCT of a survivorship ca

228 Standardized treatment rates by county ranged widely from 35.9% (95% confidence interval

229 County rates of total antibiotic and azithromycin prescr

230 s are found to be the highest in Los Angeles county, reaching about 83 million gallons per day.

231 The remaining 47,595 SNAP households in the county received usual benefits.

232 Rural county residence significantly reduced the likelihood of

233 med patient, an age- and sex-matched Olmsted County resident without parkinsonism was also identified

234 Among Olmsted County residents hospitalized at a Mayo Clinic hospital

235 opulation-based probability sample of Dallas County residents) and 1149 European individuals from the

236 e observed in the least-urban and most-urban counties, respectively.

237 us at MS diagnosis, and region of residence (county), resulting in a study population of 80,212.

238 ions to this number for measles in San Diego County's 638 elementary schools and its largest district

239 Almost all of the county's water consumption ( approximately 96% of total

240 tick, Dermacentor occidentalis in Mendocino County sampled annually from 2011 to 2014.

241 rop yields to a single climate factor at the county scale.

242 mortality rates and changes in mortality by county, sex, and particular chronic respiratory disease

243 Lessons from successful counties should prove valuable for China to intensify ef

244 Efforts to improve population health in King County should focus on reducing geographical inequality,

245 for age, sex, and race were fit to calculate county-specific risk-standardized revascularization rate

246 ("high arsenic"), which is presented at the county, state, and national scales.

247 ealth: Prospective Evidence From the Alameda County Study" by Haan et al., which together with suppor

248 However, in the poor western counties, substantial disparity by education level of th

249 ncreased in PCV10 counties, but not in PCV13 counties, suggesting cross-protection with 6A, which is

250 iovascular mortality rates were found in the counties surrounding San Francisco, California, central

251 tically different, people in lower-education counties than higher-educated counties (12.7% vs. 6.1%).

252 ences in health among neighbourhoods in King County that are masked by county-level estimates.

253 health facilities never closed in Rivercess County, this estimate may under-approximate the effect s

254 arge differences in the mortality rate among counties throughout the period: in 1980, cancer mortalit

255 of ~28 million adults in 3,034 United States counties to determine whether local PM2.5 levels (partic

256 orizes Commonwealth payments to Pennsylvania counties to offset damages from unconventional natural g

257 ncy and cause-specific mortality within King County to describe spatial trends, quantify disparities

258 methods to death registration data for King County to estimate life expectancy, cause-specific morta

259 edical services response time, clustering of county, transport time to nearest PCI center, initial he

260 ffected population in Galveston and Chambers counties, TX.

261 education), and by location (region, state, county, urban area) for the contiguous United States in

262 r versus coroner], county median income, and county urbanicity) in the NVSS using multilevel logistic

263 ccination 2013-2016) in Sweden, where the 21 counties use either PCV10 or PCV13 (introduced 2009-2010

264 to randomly select participants from Olmsted County using the medical records linkage system of the R

265 Life expectancy in King County, WA, USA, is in the 95th percentile among all cou

266 Travel Assessment and Community Study (King County, Washington) in 2008-2009.

267 To determine whether TFA restrictions in NYS counties were associated with fewer hospital admissions

268 IRs in western states and rural counties were higher (16.2/100000 and 14.2/100000, respe

269 Twenty-five counties were included in the nonrestriction population

270 Strongly clustered sepsis counties were more likely to be located in the south (92

271 Counties were stratified by median income percentile usi

272 Standardized treatment rates by county were estimated for uncomplicated upper respirator

273 controls who were matched for age, sex, and county were randomly selected from the general populatio

274 We identify 139 counties where low bee abundances correspond to large ar

275 Furthermore, we identify 11 counties where most ([Formula: see text]50%) recorded do

276 We also identify 236 counties where most recorded domestic groundwater wells

277 Residing in a county where TFAs were restricted.

278 Serotype 6A declined in PCV10 and PCV13 counties, whereas serotype 19A increased in PCV10 counti

279 socioeconomic circumstances of disadvantaged counties will be required in order to reduce CVD mortali

280 any cancers, there were distinct clusters of counties with especially high mortality.

281 The largest concentration of counties with high cardiovascular disease mortality exte

282 Residence in counties with lower than median average income was assoc

283 In nonurban counties with population >/= 50,000, exposure to PM2.5 i

284 eter < 2.5 mum (PM2.5) in urban and nonurban counties with population >/= 50,000.

285 d to produce precise rate estimates, even in counties with small populations.

286 illion adults (53.6% female) in highly urban counties with TFA restrictions and 3.3 million adults (5

287 observational pre-post study of residents in counties with TFA restrictions vs counties without restr

288 Counties with the highest mortality rates were found pri

289 Growing up in a county with 1 SD better intergenerational mobility accou

290 with CHD was matched by birth year, sex, and county with 10 control subjects from the Total Populatio

291 One large county with a single system of emergency medical service

292 ncome families, we find that growing up in a county with high upward mobility is associated with fewe

293 D after the start of EVD in a rural Liberian county with relatively few cases.

294 the number of permitted swine operations per county with the weeks of onset and peak ILI activity.

295 sidents in counties with TFA restrictions vs counties without restrictions from 2002 to 2013 using NY

296 illion adults (52.3% female) in highly urban counties without restrictions.

297 infarction (MI) and stroke compared with NYS counties without restrictions.

298 Age-standardized cancer mortality rates by county, year, sex, and cancer type.

299 ed cardiovascular disease mortality rates by county, year, sex, and cause.

300 Age-standardized mortality rates by county, year, sex, and cause.