ライフサイエンスコーパス: vital statistics

1 th records from the New Mexico Department of Vital Statistics.

2 al birth records from the New York Bureau of Vital Statistics.

3 stroke were calculated from 2017 US National Vital Statistics.

4 lity-year, enumerated by Colombia's national vital statistics.

5 those obtained from each country's office of vital statistics.

6 be high but may be underreported in routine vital statistics.

7 Overall survival assessed via vital statistics.

8 ical erasure of Indigenous people in routine vital statistics.

9 7 municipalities with an adequate quality of vital statistics.

10 41 weeks' gestation in the Florida Bureau of Vital Statistics.

11 Epidemiologic Studies-Depression Scale, and vital statistics.

12 ucted from 1986 through 1994 and from linked vital statistics.

13 been derived from retrospective studies and vital statistics.

14 We utilized data from Bangladesh Sample Vital Statistics 2018 for mortality and Bangladesh Demog

15 ars [DALYs]) were calculated from monitoring vital statistics, a systematic review of studies that re

16 h adequate quality of civil registration and vital statistics according to a validated multidimension

17 e hospitalization, emergency department, and vital statistics administrative databases.

18 Sound recording of vital statistics and cause of death data are public good

19 on and methods to ensure both the quality of vital statistics and cause of death data, and the approp

20 ation, uncover patterns missed by incomplete vital statistics and disease surveillance.

21 This study used linked vital statistics and hospital discharge data from Califo

22 were tracked for 6 years after Visit 2 using vital statistics and hospitalization data.

23 eath was determined by linkage to California Vital Statistics and National Death Index.

24 illbirths, and to count stillbirths in their vital statistics and other health outcome surveillance s

25 x, using data from city HIV surveillance and vital statistics and the National Death Index.

26 x, using data from city HIV surveillance and vital statistics and the National Death Index.

27 ronic medical record, cancer registry, state vital statistics, and chart review.

28 scharge records, health examination surveys, vital statistics, and data from small research registrie

29 using data from the US Renal Data System, US Vital Statistics, and published studies.

30 hronic liver disease (CLD), such as the U.S. vital statistics approach, rely on a limited set of diag

31 Because vital statistics are incomplete, mortality disparities a

32 Vital statistics are most effectively generated by compr

33 We used US vital statistics birth certificate data 2016 to 2023.

34 France, Japan, and Australia) using national vital statistics by age for 1967-1978.

35 medical costs of gun injuries, and the 1994 Vital Statistics census for incidence of fatal gun injur

36 New momentum for civil registration and vital statistics (CRVS) is building, driven by the confl

37 only a comprehensive civil registration and vital statistics (CRVS) system can deliver.

38 ther well functioning civil registration and vital statistics (CRVS) systems are associated with impr

39 Civil registration and vital statistics (CRVS) systems play a key role in uphol

40 estment to strengthen civil registration and vital statistics (CRVS) systems will require increased e

41 We used vital statistics data and growth mixture models to ident

42 Analysis of national vital statistics data and hospitalization data from a na

43 AI/AN mortality data using linkages between vital statistics data and IHS strengthens data quality a

44 g ICD-11 can improve the quality of official vital statistics data and the visibility of an important

45 We used national vital statistics data for 1990 through 1995 to examine b

46 We leveraged vital statistics data for Texas from 2007 to 2016 (n = 3

47 million adults 25 years and older from 2004 vital statistics data for the United States.

48 Joinpoint analysis of US national vital statistics data from 1969 through 2013.

49 s of firearm mortality, we examined national vital statistics data from 1990-2015 from four publicly

50 As an applied case study, we use geocoded vital statistics data from 2010-2015 to examine levels o

51 We tested this hypothesis using vital statistics data from 2011-2017 on singleton births

52 NTS: This retrospective cohort study used US Vital Statistics data from January 1 to December 31, 201

53 Medical examiner and/or vital statistics data have been used to track poisoning

54 ated linked Rhode Island Medicaid claims and vital statistics data of live births from January 1, 200

55 applied an ensemble of 16 Bayesian models to vital statistics data to estimate the all-cause mortalit

56 We used 2015-2019 vital statistics data to estimate the effect of recent G

57 ty-level census, survey, administrative, and vital statistics data to examine 4 sets of features: dem

58 Patients were matched to vital statistics data to obtain mortality after discharg

59 Vital statistics data were used to determine the cause o

60 to 3671 municipalities with adequate quality vital statistics data.

61 5 industrialised countries with high-quality vital statistics data.

62 VUMC), benchmarked against state and federal vital statistics data.

63 ths in 1989 and 1999 by using North Carolina vital statistics data.

64 cinoma from 1976 to 1995, data from the U.S. vital-statistics data base to determine age-adjusted mor

65 model of CVD and use of contemporary Mexican vital statistics, data from health surveys, healthcare c

66 All outcomes were obtained from the national vital statistics database.

67 ugh 2009 with annual linkage to the Shanghai vital statistics database.

68 Dates of death were validated against state vital statistics databases or the National Death Index a

69 Results (SEER) program and the United States Vital Statistics databases were analyzed to determine th

70 ath by suicide (identified in health care or vital statistics databases).

71 method using monthly hospital discharge and vital statistics death records, influenza surveillance d

72 ated using provider-reported cases, ELR, and vital statistics death records.

73 Here we used cause-specific vital statistics death registrations in a modeling appro

74 National Vital Statistics' death certificate data were used to ca

75 nal Center for Health Statistics' Restricted Vital Statistics Detailed Multiple Cause of Death files;

76 S elderly, national hospital discharge data, vital statistics, etiologic studies of adult pneumonia h

77 gistry and from the State of Texas Bureau of Vital Statistics file were collected and analyzed.

78 Analysis of vital statistics for the Czech Republic between 1986 and

79 H mortality rates were calculated from Texas vital statistics for the years 1980 through 1995.

80 We used Swedish vital statistics from 1891 to 1900 to estimate that indi

81 National vital statistics from 1980-2005 were used to assess tren

82 This brief report uses data on vital statistics from a selection of high-income countri

83 abase with more than 200 additional records (vital statistics from civil registration systems, survey

84 ve colitis in western countries by using the vital statistics from England and Wales, Canada, Scotlan

85 of a recent Chinese national health survey, vital statistics, health care costs, and cohort study ou

86 ng child survival and civil registration and vital statistics in other low-income and middle-income c

87 al outcomes, using Medicaid claims linked to vital statistics in Rhode Island, United States, 2008-20

88 ds, claims databases, disease registries, or vital statistics in their title or abstract were searche

89 We merged vital-statistics information for all 1563 infants with v

90 United States (US) vital statistics mortality data from 1989 to 1998 were a

91 We used Vital Statistics mortality data to examine whether a spi

92 rted by providers (n = 9), ELR (n = 18), and vital statistics (n = 31), totaling 34 unique reports.

93 this population-based cohort study, we used vital statistics natality records to examine all known b

94 t of Health Care Access and Information) and vital statistics (obtained from the California Departmen

95 Vital statistics offices underestimated maternal mortali

96 Using vital statistics or medical examiner records, 94.7% of p

97 fied from physician claims, hospitalization, vital statistics, outpatient prescription, kidney, and H

98 ied from physician claims, hospitalizations, vital statistics, outpatient prescriptions, and kidney a

99 We apply a composite index (the vital statistics performance index [VSPI]) to assess the

100 Vital statistics produced by CRVS systems provide essent

101 Time-series analysis of vital statistics records and emergency department visits

102 1, to December 31, 2022, was conducted using vital statistics records and hospital records.

103 ort study used linked hospital discharge and vital statistics records data for 1,622,474 live births

104 -sectional study included births in the 2015 vital statistics records from the New York City Departme

105 udy, the authors linked medical examiner and vital statistics records on underlying cause of death, c

106 Mortality rates were obtained from vital statistics records, and myocardial infarction and

107 ta were obtained from hospital discharge and vital statistics records, which were linked with publicl

108 r records and underlying- and multiple-cause vital statistics records.

109 iving bare-metal stents were determined from vital-statistics records.

110 ty PSH program with Heath Department HCV and Vital Statistics registries and Medicaid claims.

111 ned by biennial home visits and linkage with vital statistics registries.

112 recontact and periodic linkage to cancer and vital statistics registries.

113 ed by the GCR through linkage to the Georgia vital statistics registry and National Death Index.

114 ained through annual linkage to the Shanghai Vital Statistics Registry database and biennial home vis

115 Annual record linkage with the Shanghai Vital Statistics Registry database was carried out to ob

116 New York City HIV/AIDS Reporting System and Vital Statistics Registry through 2004 (n = 68,669).

117 Dates of death were obtained from the vital statistics registry.

118 ough biennial home visits and linkage with a vital statistics registry.

119 n-person interview and record linkage to the vital statistics registry.

120 Yet the US vital statistics reporting system is of limited value be

121 tified from US Life Tables from the National Vital Statistics Reports 2020, was used.

122 l population, we obtained data from national vital statistics reports and matched to patients with CM

123 By using data from National Vital Statistics Reports that spanned from 1990 to 2007,

124 claims from 2008 to 2013, linked with state vital statistics, stratifying hospitals on the basis of

125 We analyzed US National Vital Statistics System (NVSS) data to characterize dise

126 Matches were then linked to the National Vital Statistics System (NVSS) mortality data to identif

127 ltiple cause-of-death data from the National Vital Statistics System (NVSS) were used.

128 The National Vital Statistics System (NVSS), administered by the fede

129 to 2017 data on US adults from the National Vital Statistics System and 2015 to 2019 data on US adul

130 d 2016-2018 mortality data from the National Vital Statistics System and 2018 IPUMS American Communit

131 study used mortality data from the National Vital Statistics System and American Community Survey po

132 ta from 50 states obtained from the National Vital Statistics System and claims data from 23 million

133 deidentified death records from the National Vital Statistics System and population estimates from th

134 We then tabulated deaths from the National Vital Statistics System and population estimates from th

135 dardised mortality data from the US National Vital Statistics System and the Institute for Health Met

136 We utilized the National Vital Statistics System and USDA Food Environment Atlas

137 We used mortality data from the National Vital Statistics System and used a Bayesian multivariate

138 l deaths by suicide reported to the National Vital Statistics System between Jan 1, 2005, and Dec 31,

139 This study uses National Vital Statistics System data from 2000-2016 to character

140 based, historical cohort study used National Vital Statistics System data on 31 157 506 births in the

141 This study uses National Vital Statistics System data to characterize trends in d

142 dy using 2016 to 2017 United States National Vital Statistics System data.

143 ual firearm homicides identified by National Vital Statistics System death certificates.

144 ction as a cause of death, from the National Vital Statistics System during 1999-2012.

145 ergency Department (ED) Sample, and National Vital Statistics System for 2012 and 2016.

146 birth certificate data from the US National Vital Statistics System for 2016 and 2017.

147 We analyzed data from the US National Vital Statistics System for 2018-2024.

148 We analyzed data from the National Vital Statistics System from 1999 through 2018 to estima

149 4 690 729 deaths recorded in the US National Vital Statistics System in 2010 and 2017.

150 Use of death certificates from the National Vital Statistics System in the United States, which were

151 This study used data from the National Vital Statistics System Mortality to evaluate trends in

152 were obtained from the 2015 to 2019 National Vital Statistics System Multiple Cause of Death files.

153 re extracted from the 2018 and 2019 National Vital Statistics System Multiple Cause of Death Restrict

154 rtality data were obtained from the National Vital Statistics System of the Centers for Disease Contr

155 sed Medicaid claims data and the US National Vital Statistics System overdose death data, which were

156 y (ACS) with death records from the National Vital Statistics System through 2019.

157 We adjusted deaths from the National Vital Statistics System to account for misreporting of r

158 dy used birth certificates from the National Vital Statistics System to analyze in-hospital liveborn

159 -sectional study uses data from the National Vital Statistics System to compare forecasted numbers of

160 .S. Renal Data System, and the U.S. National Vital Statistics System to compare the incidences of low

161 to death registration data from the National Vital Statistics System to estimate annual county-level

162 th certificate data reported to the National Vital Statistics System were reviewed.

163 ectional study, the study team used National Vital Statistics System WONDER mortality data for 38 362

164 ortality was based on the 2003-2013 National Vital Statistics System's Multiple Cause of Death Files.

165 ounty-level opioid overdose deaths (National Vital Statistics System) and patients filling long-durat

166 r-infant pairs in the United States National Vital Statistics System, 2011-2018.

167 IGN, SETTING, AND PARTICIPANTS: The National Vital Statistics System, a population-based registry of

168 enter for Health Statistics and the National Vital Statistics System, and categorised by sex, occupat

169 munity Survey, annual data from the National Vital Statistics System, annual data from the Behavioral

170 demiology, and End Results Program, National Vital Statistics System, National Health and Nutrition E

171 package, combining data from the US National Vital Statistics System, National Health Interview Surve

172 Data sources included the National Vital Statistics System, Surveillance, Epidemiology, and

173 (ICD-10 codes: I00-I99) from the US National Vital Statistics System, we developed a Bayesian multiva

174 ty-level mortality data from the US National Vital Statistics System, we estimated the degree to whic

175 ng data on overdose deaths from the National Vital Statistics System, we fit Bayesian spatiotemporal

176 births from 2011 to 2022 using the National Vital Statistics System.

177 ed 1995-2019 natality data from the National Vital Statistics System.

178 rvey on Drug Use and Health and the National Vital Statistics System.

179 cohort study of birth data from the National Vital Statistics System.

180 inked birth/death datasets from the National Vital Statistics System.

181 nty population obtained from the US National Vital Statistics System.

182 ved opioid overdose deaths from the National Vital Statistics System.

183 Mortality data were from the National Vital Statistics System.

184 ide deaths) were assessed using the National Vital Statistics System.

185 nd 8 416 203 death records from the National Vital Statistics System.

186 to death certificate data from the National Vital Statistics System.

187 n thyroid cancer mortality from the National Vital Statistics System.

188 demiology, and End Results program; National Vital Statistics System; Centers for Disease Control and

189 demiology, and End Results Program; National Vital Statistics System; Thompson Reuters MarketScan; Me

190 ital births in the US from the 2021 National Vital Statistics Systems (NVSS) Natality Data.

191 quality comprehensive civil registration and vital statistics systems across many settings in Africa

192 g the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Surv

193 Data sources included civil registration and vital statistics systems data from the WHO Mortality Dat

194 Currently, none of the 3 methods employed by vital statistics systems to count deaths from specific c

195 Given weak vital statistics systems, almost all of the information

196 a large national sample are consistent with vital statistics that show that all-cause, CHD and CVD m

197 d data for birthweight, gestational age, and vital statistics through 28 days of life.

198 ds, claims databases, disease registries, or vital statistics) through their routine interactions wit

199 ER data for breast cancer incidence and 2010 vital statistics to adjust for the competing risk of dea

200 er were linked to the provincial database of vital statistics to ascertain rates and causes of death

201 itorial discusses the importance of national vital statistics to health and emergency preparedness sy

202 Yet because of the weakness in recording vital statistics, we have little authoritative evidence

203 ta on jail time, homeless shelter stays, and vital statistics, we performed sequence analysis and ass

204 e and find associations that would emerge in vital statistics were our argument correct.

205 Provincial vital statistics were used to determine the patients' da

206 e studies of risk factors for stillbirth use vital statistics with limited data.