ライフサイエンスコーパス: county

1 unicipalities, and districts (collectively, "counties").

2 and New York State Department of Health (11 counties).

3 dence interval [CI], 0.5-0.9) in Mecklenburg County.

4 he higher incidence of COVID-19 in Milwaukee county.

5 population-weighted annual averages for each county.

6 n the volume sold of taxed beverages in Cook County.

7 case of Covid-19 had been identified in King County.

8 cy department (ED) visits in 3 United States counties.

9 e rates for various cancer types in 607 U.S. counties.

10 cally brought different hazards to different counties.

11 ction and fatality growth rates in pro-Trump counties.

12 ions in food-energy-water-CO(2) nexus across counties.

13 lected data from 54 referral hospitals in 27 counties.

14 d patient mortality compared to best tertile counties.

15 generating well-being estimates for 1,208 US counties.

16 of cases located in the metropolitan region counties.

17 oordinated and when testing rates vary among counties.

18 ture effects on mortality in urban and rural counties.

19 ies, and 1.98 (95% CI: 1.87, 2.10) for rural counties.

20 We found 48,454 deaths matched to the 253 counties.

21 w individual premises are distributed within counties.

22 l syphilis, and PWID, especially in nonurban counties.

23 siderable existing climate adaptation across counties.

24 for candidemia was conducted in selected US counties.

25 e greatest ratio increase occurring in rural counties (0.29 to 1.90).

26 Of 18,100 patients living in 581 counties, 10,944 (60.5%) underwent surgery.

27 Adjusted county 18-month CSS rates varied 1.6-fold from 32.7% to

28 (2.19/100,000 individuals) and metropolitan counties (6.29/100,000 individuals) in 2017.

29 Of the most vulnerable counties, 69% are reservation counties and 62% are rural

30 ncentrations for 36,406 CWSs (98%) and 2,740 counties (87%) and compared differences in means and qua

31 er in Democratic- than in Republican-leaning counties, a pattern more pronounced under Republican gov

32 as needed) schools and workplaces county by county, according to triggers for county-specific infect

33 nario in which 20% of the population of each county acquires infection.

34 tive Bacterial Core surveillance in selected counties across Tennessee.

35 , Washington, Public Health-Seattle and King County, aided by the Centers for Disease Control and Pre

36 l vote-by-mail in a staggered fashion across counties, allowing us to use a difference-in-differences

37 unty-specific flood thresholds for shoreline counties along the east coast of the United States.

38 Democratic-leaning counties also responded more strongly to recommendations

39 ost vulnerable counties, 69% are reservation counties and 62% are rural.

40 existed in life cycle GWP, EU, and AD among counties and across years.

41 s syndemic in rural reservation and frontier counties and should inform the strategic allocation of p

42 using samples from 36 patients spanning nine counties and the Grand Princess cruise ship.

43 collected from people with HIV in San Diego County and from Tijuana between 1996-2018.

44 onitoring of outbreak vulnerability in Scott County and similar rural contexts.

45 Models included county and year fixed effects and controlled for child-

46 ssociated with all-cause mortality for urban counties, and 1.98 (95% CI: 1.87, 2.10) for rural counti

47 higher in minority counties than nonminority counties, and almost all significant indicators of opioi

48 This study provides a method for cities, counties, and other stakeholders to evaluate the potenti

49 ons and surveillance within schools, cities, counties, and sociodemographic subgroups.

50 pants in the general population by age, sex, county, and calendar period.

51 ntucky, Minnesota, New York, and Texas), one county, and one academic medical center and included 6,1

52 each case to 3 control subjects on age, sex, county, and years of medical history.

53 se losses are avoided (16% loss), but 57% of counties are allocated crops different from those curren

54 While thresholds in most counties are statistically-indistinguishable from minor

55 as across three geographically diverse Texas counties are studied.

56 use (IDU) in rural reservation and frontier counties are unknown.

57 ick-borne encephalitis (TBE), with Stockholm County as one of the high-risk areas.

58 ority patient from a low socially vulnerable county, as well as a markedly higher risk than white pat

59 h population-based CRE surveillance in the 8-county Atlanta (GA) metropolitan area, all Escherichia c

60 (EC), and organic carbon (OC)] in 2,132 U.S. counties between 1990 and 2010.

61 l-based obstetric service losses in rural US counties between 2014 and 2018 overall and by county pop

62 f people who were fingerprinted by states or counties by about one-third.

63 increases per-capita disposable income in a county by approximately 7%-8%.

64 reclosing, as needed) schools and workplaces county by county, according to triggers for county-speci

65 ailable dataset consisting of roughly 30,000 county-by-year observations on insurance-based measures

66 IgM antibodies to SARS-CoV-2 in Los Angeles County, California, as a marker of both active and past

67 lt inpatient healthcare facilities in Orange County, California, to explore the impact that detecting

68 in a large-scale suppression trial in Fresno County, California.

69 years of age to those <55 years of age, and county characteristics associated with the availability

70 vel survey responses from residents of these counties confirm county-level behavioral differences and

71 Rural counties continue to have a disproportionately lower sup

72 ing (below/above county-specific median) and county (control: 8 schools, 1,319 participants, mean [SD

73 al Society, Karolinska Institutet, Stockholm County Council, Swedish Research Council, Swedish Founda

74 vel Black population fraction accounting for county COVID-19 burden, comorbidity, and hospital financ

75 ncing than numerous other factors, including counties' COVID-19 cases, population density, median inc

76 We find that external travel to other counties decreased by 35% soon after the nation entered

77 In collaboration with Kisumu County Department of Health, we integrated PrEP delivery

78 The Los Angeles County Department of Public Health (LAC DPH) set out to

79 ce data from 5226 adult cases in Los Angeles County diagnosed from 2010 through 2014.

80 Disease Control and Prevention in Stockholm County during 2006-2015.

81 n historical data of road flooding in Harris County during Hurricane Harvey in 2017.

82 t state statutes and regulations, all Kansas county environmental codes, and a representative sample

83 Although rural counties experienced a mean annual increase in ophthalmo

84 objective was to leverage on the Miami-Dade County, Florida immature mosquito surveillance system ba

85 quatic habitats for mosquitoes in Miami-Dade County, Florida.

86 mentally higher among patients from high SVI counties following colectomy (OR 1.1 95%CI 1.1-1.3), CAB

87 nt evidence for reduced viral spread in both counties following the statewide "Safer at Home" order,

88 ponses to Google News searches within all US counties for a set of keywords.

89 The data cover all eastern U.S. counties for all land-falling or near-land Atlantic basi

90 However, in Tioga county, for males and females and females alone, SIRs we

91 and and aggregate mobility inflow at each US county from March 1 to June 9, 2020.

92 s within counties plummeted: in 1940, 88% of counties grew >10 crops, but only 2% did so in 2017, and

93 lease during MAR via injection in the Orange County Groundwater Basin.

94 Only 18 (3.1%) counties had adjusted surgery rates of 68.0% to 74.6%, w

95 tion who lived in highly socially vulnerable counties had an estimate 28-68% increased odds of a seri

96 Dane County had the 12(th) known introduction of SARS-CoV-2 i

97 proactive implementation of an SSP in Scott County had the potential to avert more HIV infections th

98 onmental effects in agriculturally dominated counties have fundamentally changed.

99 Although county health is associated with LT outcomes, it also ap

100 ient-level data were matched to county-level County Health Ranking data using transplant recipient zi

101 ls were used to examine associations between County Health Rankings and graft and patient survival po

102 ransplant recipient zip code, and nationwide County Health Rankings were created.

103 data from the Robert Wood Johnson Foundation County Health Rankings, the United States Renal Data Sys

104 CHS (Charleston Heart Study) and ECHS (Evans County Heart Study) in 1960 and the REGARDS study (Reaso

105 of the Chinese Academy of Sciences in Hailun county, Heilongjiang Province, China.

106 Critical counties (high-vulnerable-hotspot) are mostly located in

107 with and without HIV seeking care at Kisumu County Hospital.

108 ulation of wild pigs was confirmed in Fulton County, Illinois, U.S.

109 ated from a normally sterile body site) in 8 counties in 5 states during 2016.

110 hrough the Emerging Infections Program in 45 counties in 9 states encompassing approximately 17 milli

111 Xuanwei and Fuyuan are rural counties in China where the domestic combustion of local

112 Older patients living in rural counties in Florida face (1) significantly longer travel

113 mosquito trap densities in two well-studied counties in Illinois between 2005 and 2016 to determine

114 The majority of counties in the Northern Great Plains indicate a non-cri

115 Long-term care facilities in counties in the Southern and Midwestern regions had the

116 nd early May 2020, in five (urban and rural) counties in the state of Georgia.

117 E percentages have increased in 41 out of 46 counties in the top 10 metropolitan areas of Texas.

118 Of counties in the top fifth percentile (ie, highest mortal

119 lity from a sample of mobile phones in 3,100 counties in the United States during March 2020, county-

120 V-2 infection at two hospital systems in two counties in Wisconsin.

121 For every county in 23 states and for each of 15 years, data were

122 ars between 2011 and 2013 in Pozega-Slavonia County in Croatia, where we capitalized on a natural exp

123 = 4763) and Grade 7-9 (n = 654) from Chia Yi County in this population-based study.

124 These 22 counties include several major cities such as Miami, New

125 charest), Scotland (Glasgow), and USA (Scott County, Indiana).

126 ky, Illinois, and Texas); one county (Marion County, Indiana); and one academic medical center in Phi

127 odel, we simulated HIV transmission in Scott County, Indiana, a rural county with a 1.7% prevalence o

128 ases in the Milwaukee metro area versus Dane County, indicating that the effect of social distancing

129 ation in CVE percentages across metropolitan counties is explained by median income, the proportion o

130 rms, but at intermediate aggregation levels (counties) it is possible to estimate temporal diversity

131 Males incarcerated in Cook County Jail (Chicago) were enrolled, with enrichment for

132 maternal and child health clinics in Kisumu County (Kenya).

133 t, relatively few introductions in Milwaukee County led to extensive community spread.

134 omic vulnerability index is developed at the county level across the Contiguous United States (CONUS)

135 The analysis was performed at the county level across the United States, assuming a scenar

136 oning mortality between 2000 and 2015 at the county level among white, black, and Latino people.

137 .5)) trends in all 626 Chinese cities at the county level and above.

138 ted an open-source data set with data at the county level on exposure to four tropical cyclone hazard

139 Apiary and county level risk factors are confirmed to include scale

140 se a difference-in-differences design at the county level to estimate causal effects.

141 site combines documented case reports at the county level with ascertainment bias information obtaine

142 Based on county-level analyses of individual crop land cover area

143 ntegrate several public datasets to generate county-level annual estimates of total 'bee toxic load'

144 ) investigate patterns and agreement between county-level assessments of tropical cyclone exposure ba

145 ses from residents of these counties confirm county-level behavioral differences and help attribute t

146 health care entities for lost revenues, and county-level Black population fraction accounting for co

147 d, reporting aggregate data at the state- or county-level can result in substantial underestimates of

148 ation data from 62,000 weather stations, and county-level census data on population demographics to e

149 Additionally, county-level consumption of conservative media (Fox News

150 County-level corn phenology varies spatially and interan

151 orology, and remote sensing data to estimate county-level corn yields.

152 Patient-level data were matched to county-level County Health Ranking data using transplant

153 iable linear regression models to adjust for county-level covariates related to demographics (ie, rac

154 cted cancers while controlling for important county-level covariates.

155 temporal) input features to achieve a robust county-level crop yield estimation.

156 investigate this concern, we combined daily, county-level data on shelter-in-place policies with move

157 the model's predictions empirically using US county-level data on the impact of Internet access on th

158 We compared Twitter-based county-level estimates with well-being measurements prov

159 fixed effects and controlled for child- and county-level factors, and standard errors were clustered

160 SD increase from the climatic mean decreases county-level fishing employment by 13%, on average.

161 There is large county-level geographic variation in pneumonia and influ

162 The county-level HCV infection rate is 4 times higher in min

163 The model estimates county-level health damages and accounts for uncertainty

164 on in Lyme disease incidence than unobserved county-level heterogeneity, but the strongest climate-di

165 Twenty-nine county-level indicators potentially associated with HCV

166 Here we incorporated 18 years of annual, county-level Lyme disease case data in a panel data stat

167 ent, significant within-state variability in county-level mortality rates was found.

168 ties in the United States during March 2020, county-level partisan preferences, information about the

169 County-level PM2.5 concentrations were estimated using i

170 component-related CV mortality, adjusted for county-level population characteristics and baseline PM2

171 redict corn yields, specifically focusing on county-level prediction across 10 states of the Corn-Bel

172 to the 2017-2018 school year, we identified county-level predictors of median CVE percentage among p

173 most comprehensive multivariable analysis of county-level predictors of rates of COVID-19 cases and d

174 Driving distance was associated with county-level prevalence of diabetes in the univariate mo

175 al procedural volume, hospital market share, county-level procedures per 10 000 persons, and patient-

176 e, 0-1; reflecting 0%-100% of market share); county-level procedures per 10 000 persons; and patient-

177 y in among-county mortality was explained by county-level race/ethnicity, poverty, uninsured rates, d

178 k communities that are typically obscured in county-level risk assessments and found that public scho

179 mmunity Survey (ACS) to match individual and county-level risks.

180 ed the association between a broad set of US county-level sociodemographic, economic, and health-stat

181 urgery rates explained approximately half of county-level variation in CSS.

182 We first show that county-level variation in post office density is highly

183 Multilevel models were used to characterize county-level variation in use of surgery and CSS.

184 The aim of the study was to describe county-level variation in use of surgery for stage I-II

185 We examined county-level vulnerability for this syndemic in South Da

186 characterize the association between patient county-level vulnerability with postoperative outcomes.

187 echanical Turk [LabMT]) yielded inconsistent county-level well-being measurements due to regional, cu

188 Research data from 2009 to 2018 to calculate county-level, age-adjusted liver disease-related death r

189 Counties Manukau Health and Middlemore Foundation.

190 e risk associated with gatherings, including county maps and state-level plots.

191 ew York, Kentucky, Illinois, and Texas); one county (Marion County, Indiana); and one academic medica

192 Emory University (EU) in Atlanta, Georgia (5 counties), Massachusetts Department of Public Health (st

193 We assigned CWSs and counties MCL compliance categories (High if above the MC

194 n New York HIV/AIDS, Referral Center at Erie County Medical Center (ECMC), 1422 participated in the c

195 er's Office (Seattle, WA, USA) and Snohomish County Medical Examiner's Office (Everett, WA, USA) in n

196 14 people who died with COVID-19 at the King County Medical Examiner's Office (Seattle, WA, USA) and

197 Data were from the Suffolk County Mental Health Project.

198 All residents of Olmsted County, Minnesota <=1 year old diagnosed with pseudostra

199 All residents of Olmsted County, Minnesota from 2006 to 2015 were identified by u

200 The Olmsted County, Minnesota population had a lower incidence of ep

201 PANTS: Retrospective cohort study in Olmsted County, Minnesota, involving 550 patients who had their

202 the authors identified residents of Olmsted County, Minnesota, who delivered between 1976 and 1982.

203 prospectively recruited residents of Olmsted County, Minnesota, who experienced an event associated w

204 December 31, 2016, while residing in Olmsted County, Minnesota.

205 Louis City and County, Missouri, 2016 to 2017.

206 who received a kidney transplant in Olmsted County, MN (January 1, 1998 to December 8, 2016).

207 County mobility restrictions that reduced workplace visi

208 erval, 2.9 to 5.8%) and was highest in urban counties Mombasa (8.0%), Nairobi (7.3%), and Kisumu (5.5

209 able models, 61% of the variability in among-county mortality was explained by county-level race/ethn

210 ted group of population centers representing counties, municipalities, and districts (collectively, "

211 at Vanderbilt Children's Hospital, Davidson County, Nashville, TN from 12/2012-11/2015.

212 ure to wildfire PM(2.5) and mortality in 253 counties near a major wildfire between 2008 and 2012.

213 , NC; 2) Auburn, AL; and 3) Broome and Tioga Counties, New York.

214 New York City, Long Island, and Westchester County, New York, within the Northwell Health system.

215 ssissippi; Hagerstown, Maryland; and Forsyth County, North Carolina.

216 period, 34 AHC outbreaks were reported in 20 counties of 9 cities in Hunan Province, with a mean tota

217 schools including Year 9 students in the UK counties of Cambridgeshire and Essex were eligible for i

218 to what extent the health of LT recipients' counties of residence influence long-term LT outcomes.

219 ive at mitigating major disparities based on county of residence and helps yield equitable outcomes i

220 rolling for age at follow-up, calendar year, county of residence, and parental characteristics, inclu

221 City-based health system by age, sex, race, county of residence, and prior PCR-confirmed viral expos

222 cci, Charlson score, discharge location, and county of residence.

223 During 2016-2018, the County of San Diego investigated an outbreak of hepatiti

224 raphic data are only available aggregated at county or coarser scales, so disease models must rely on

225 in volume sold of untaxed beverages in Cook County or its border area.

226 lyses performed on a local level (municipal, county, or state), with results communicated in a clear,

227 Instead, the Dane County outbreak was seeded by multiple later introductio

228 US states from 2010 to 2019, in at least one county per state.

229 mitantly, the diversity of crop types within counties plummeted: in 1940, 88% of counties grew >10 cr

230 ounties between 2014 and 2018 overall and by county population and urban adjacency.

231 rovided in a single Midwestern United States county population.

232 The number of counties producing each crop declined from 1940 to 2017

233 ication of IRS with Actellic 300CS in Migori County provided ten months protection and resulted in th

234 tween the annual proportion of children in a county receiving medical POHS and the probability that a

235 tion between the proportion of children in a county receiving medical POHS and the probability that a

236 3 [95% CI, 0.70 to 0.75]) on average in Cook County relative to St.

237 income (1.35 [1.08-1.69]; p < 0.001), fringe county residence (1.08 [1.01-1.16]; p = 0.049), discharg

238 The case was a Maricopa County resident with multiple severe acute respiratory s

239 nd 39% larger in West Los Angeles and Orange counties, respectively, if outdoor water usage had remai

240 tion aged 65 years and older across 3,113 US counties, respectively.

241 nce of human West Nile virus cases across US counties responded unimodally to average summer temperat

242 The Cook County SBT led to a substantial reduction in the volume

243 environmental impacts of crop production at county scale across mutiple years are lacking.

244 RS cases from 2005 to 2018 in Jiangxi at the county scale. The epidemic of HFRS showed the characteri

245 aft and patient survival, with worst tertile counties showing a 13% increased hazard of both graft fa

246 We show that the findings generalized to county socioeconomic and health outcomes and were robust

247 We used meta-analyses to combine county-specific effects and estimate overall percentage

248 d-related posts on social media, to estimate county-specific flood thresholds for shoreline counties

249 county by county, according to triggers for county-specific infection prevalence, to a global strate

250 ool-level pupil premium funding (below/above county-specific median) and county (control: 8 schools,

251 County-specific rates of surgery varied substantially, a

252 County-specific risk- and reliability-adjusted surgery r

253 Adjusted county-specific surgery rates varied 1.5-fold from 49.9%

254 Adjusted county surgery and 18-month CSS rates were correlated (r

255 carcinoma (PDAC) and the association between county surgery rates and cancer-specific survival (CSS).

256 es were correlated (r = 0.54; P < 0.001) and county surgery rates explained approximately half of cou

257 grams in women aged 40-74 years in Stockholm County, Sweden, who underwent screening with full-field

258 lowed for HIV primary care in a large, urban county system from January 2009 to December 2014.

259 infection rate is 4 times higher in minority counties than nonminority counties, and almost all signi

260 trategy, we use a panel dataset of 211 pilot counties that received targeted PV investments from 2013

261 illion smartphones per day, we found that US counties that voted for Donald Trump (Republican) over H

262 COVID-19 cases and deaths were higher in US counties that were more urban or densely-populated or th

263 We identified counties that will probably be consistently, heavily aff

264 1998 and 2014, were matched on age, sex, and county to five controls from the population. Incidence,

265 but data are lacking at the local level (eg, county) to identify factors associated with variability

266 index score to identify the most vulnerable counties (top 20%) to this syndemic.

267 V migration was more frequent from San Diego county towards Tijuana than vice versa.

268 es and person-days lost to closure rise when county triggers are not coordinated and when testing rat

269 records that occurred during 2014 in Harris County, TX, a diverse population of 4.4 million.

270 oncerted effort to remove wild pigs from the county until the last wild pig (of 376 total) was succes

271 ross the 10 top metropolitan areas in Texas, counties vary considerably in the proportion of school s

272 on among patients from a high versus low SVI county was 10-20% higher following colectomy (OR 1.1 95%

273 vid-19 in a skilled nursing facility in King County, Washington, Public Health-Seattle and King Count

274 a microsimulation model, calibrated to King County, Washington, that captured the spread of HIV and

275 OVID-19) among health care personnel in King County, Washington.

276 with pulmonary TB from 2009 to 2014 in King County, Washington.

277 ation in media markets for 771 matched rural counties, we show that rural residents are more likely t

278 In New York, SIR for Broome and Tioga counties were 0.93 and not significant.

279 ges associated with outbreak clusters in two counties were defined by a single base substitution in t

280 rmitted animals in Weld, Morgan, and Larimer counties were estimated at 1.9 Gg month(-1), 50% greater

281 2017, 4 California residents from 2 adjacent counties were hospitalized with suspected foodborne botu

282 norovirus outbreaks from 7 middle Tennessee counties were included in the study.

283 engxin, Yifeng, Shanggao, Jing'an and Gao'an county were hot spots areas.

284 (SEER) registries of Georgia and Los Angeles County were surveyed between 2018 and 2019.

285 asitological parameters of malaria in Migori County, western Kenya in 2017, in an area where primary

286 alation randomized controlled trial in Siaya County, western Kenya.

287 New Vaccine Surveillance Network in a single county, while reported norovirus outbreaks from 7 middle

288 find evidence that plant closures attenuated county-wide cases and that plants that received permissi

289 crease their production-line speeds saw more county-wide cases.

290 independent of central San Diego shows that county-wide efforts will be more effective.

291 of wetlands varies widely across coastal US counties with an average value of about $1.8 million/km(

292 ue from prioritizing emissions reductions in counties with high population exposure.

293 l mitigation, we identify several states and counties with higher risks of continuous community trans

294 d States between 1996 and 2016 and show that counties with more wetland coverage experienced signific

295 months [interquartile range (IQR) 13-14] in counties with surgery rates of 49.9% to 56.9% to 18 mont

296 f 49.9% to 56.9% to 18 months (IQR 17-19) in counties with surgery rates of 68.0% to 74.6%.

297 ansmission in Scott County, Indiana, a rural county with a 1.7% prevalence of injection drug use.

298 any of 11,189 samples from 594 sites in 223 counties within 35 U.S. states and one site in Mexico.

299 set the foundation for a publicly available county yield prediction effort that complements existing

300 of soybean production in nearly 1000 Midwest counties yr(-1) over 9 years.