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1  for the Kutupalong-Balukhali Expansion Site age distribution.
2        All syndromes showed a characteristic age distribution.
3 oving average (ARIMA) models, magnitude, and age distribution.
4 0 through 64 years of age with the 1995 U.S. age distribution.
5 nges and events with a restricted underlying age distribution.
6 (HD) is a malignancy that displays a bimodal age distribution.
7 , and age structure develops toward a stable age distribution.
8 and 303 white controls (48% male) of similar age distribution.
9 rs, whereas injured bicyclists had a broader age distribution.
10 aniopharyngioma (PCP), differ in genesis and age distribution.
11 young, typical, old) based on percentiles of age distribution.
12 ere a longer period of decline and a younger age distribution.
13 nd seasonal forcing had little impact on the age distribution.
14 an extra assumption, namely stability of the age-distribution.
15 y (TTNtv) (n=35) with similar LVEF, sex, and age distributions.
16  predicted natural disturbance regimes stand age distributions.
17 tially - driven by underlying recruitment or age distributions.
18 0 patients (6 female, 4 male) with a bimodal age distribution (10-46 years and 77-83 years) were incl
19 eful to: (1) model the transient dynamics of age distribution; (2) assess and communicate the conserv
20 e evaluated and 46% of catchments had skewed age distributions: 6% were skewed older, and 40% were sk
21  users (n=22805), their sex (30% female) and age distribution (8% older than 34 years in mid-1990s),
22         Estimates were weighted by the local age distribution according to census data.
23                        Neither mean ages nor age distribution affected survival.
24 ctions of population size, growth rates, and age distribution, although extending to distant horizons
25             There was substantial overlap in age distribution among the patients with benign disease,
26 ificant rate of T. vaginalis detection, with age distribution analogous to that reported in females,
27                                  The precise age distribution and calculated stroke risk of screen-de
28                              INTERPRETATION: Age distribution and case sources have changed gradually
29 the rest of the Republic of Congo, including age distribution and CFR.
30                                          The age distribution and clinical profiles were similar for
31 t the provincial level we explored trends in age distribution and disability grading of incident case
32 ies to improve researchers' reporting on the age distribution and health risk profiles of research pa
33 n California, could shift the historic stand-age distribution and impact the legacy of carbon uptake
34                                          The age distribution and limited serovars involved make cont
35     The purpose of this study was to compare age distribution and probability of elective surgery for
36                                          The age distribution and proportion of vaccine-serotype IPD
37 includes new observations such as a unimodal age distribution and racial variation in prevalence.
38                        After controlling for age distribution and recovery from COVID-19, a 10-percen
39 e that could be employed in an assessment of age distribution and reproductive dynamics within natura
40                                          The age distribution and seasonality of hospitalizations of
41 nd consumption both enumerate the population age distribution and sum to the population platelet coun
42                                          The age distribution and tissue type of samples included in
43 ions of these health outcomes, influenced by age distribution and underlying causes of morbidity and
44 d as an acquired valve problem, had an equal age distribution and was associated with an increased as
45                                       Zircon age distributions and Hf-O isotopes indicate that the pr
46  and/or whole-transcriptome analysis of gene age distributions and phylogenetic analyses of gene dupl
47  compare prior and posterior calibrated node age distributions and produce plots of the time-scaled p
48  from the ABCD Study cohort reveals reversed age distributions and replicates sex-associated brain-be
49  different patterns of presentation, sex and age distribution, and likelihood of occult abdominal dis
50 dence from the methylome, transcriptome, LTR age distribution, and LTR insertional polymorphisms reve
51 of intubation, we determined the prevalence, age distribution, and seasonal variation of viral and ba
52 ncome, education, racial/ethnic composition, age distribution, and sex) and 5 walkability indicators
53  in young patients, but the reasons for this age distribution are uncertain.
54         Data on self-reported sexual partner age distributions are available from a variety of source
55                         Equilibrium platelet age distributions are then 'grafted' into the matrix to
56 am infections, antimicrobial resistance, and age distribution at a rural district hospital in northea
57                                              Age distribution at the time of transplantation included
58                     We aimed to estimate the age distribution at which individuals acquired their cau
59  for female patients, with a relatively even age distribution between the ages of 24 and 64 years.
60 strategy for three countries with contrasted age distributions (Burkina-Faso, France, and Vietnam).
61                          Modeled groundwater-age distributions, calibrated to (3)H, SF(6), and (14)C
62 indicator, and trends in mortality rates and age distribution can inform maternal immunization strate
63     In 76% of outbreaks (16/21) with a known age distribution, cases concentrated among children aged
64 at of LINEs, in contrast to human, where the age distribution closely follows Alus (SINEs).
65 ikely because of the observed differences in age distribution, diet, and microbiome.
66                                          The age distribution differed between cases caused by PRN(-)
67                 Birth weight for gestational age distributions differed according to the measurement
68 ical and calendrical calculation closely fit age distributions expected for populations with logistic
69 der the empirical relevance of shifts in the age distribution for development for a panel of 159 coun
70                  We examined time trends and age distribution for fatal anaphylaxis caused by food, d
71 on the Y chromosome and, from the retroviral age distribution, for a higher rate of evolution on the
72                      We find that population age-distribution has a significant effect on disease spr
73 milar hospital characteristics but a younger age distribution, higher proportion of women, lower seve
74  TED prevalence was 0.09%, showed a unimodal age distribution (highest prevalence in ages 50-59 years
75                               Differences in age distribution, HLA frequencies, and treatment outcome
76 single pattern was detected in the shifts in age distribution; however, an increase in the proportion
77                              Despite similar age distribution in both sex groups, uptake in men was s
78 ty results were from females, with a similar age distribution in both sexes (mean of 66 years old).
79 e frequency of single-gene causation and its age distribution in large cohorts are unknown.
80                      We found a bimodal size/age distribution in the timing that juveniles underwent
81                                        Stand age distributions in naturally dynamic forests and manag
82                                              Age distributions in the samples span ~20 to >10000 year
83                                     Geologic age distributions indicate that the anomalous LDG result
84                                          The age distribution is also expected to change, with 36% of
85                                         This age distribution is consistent with that observed in the
86                              DNA methylation age distribution is wider than technically expected, ind
87 en HCoV and SARS-CoV-2 may contribute to the age distribution, it is insufficient to explain the age
88                     In particular, clustered age distributions led to a negative bias in their growth
89                                              Age distribution, male-to-female ratio, and proportion o
90 s were more severe than in past seasons, and age distribution may have shifted toward older children
91 inh distribution replicated observed partner age distributions most accurately across three geographi
92 tterns of haplotype structure and mutational age distributions near tga1 with simulations, finding th
93                    Neither stable population age distributions nor homogeneous genetic lineages are a
94                                          The age distribution of A(H1N1)pdm09 infections included mor
95 nrealistically high as a result of a younger age distribution of African Americans within the county.
96 in cohorts born in the 1990s and the bimodal age distribution of B/Yamagata cases.
97 thodological approach to inform the size and age distribution of blood samples to test when samples a
98            We have reconstructed the glacial-age distribution of carbonate ion concentration in the d
99 rate short-term forecast for the numbers and age distribution of cases and deaths.
100 e observed systematic temporal trends in the age distribution of cases and the fade-out profile of pe
101  response vaccination campaigns based on the age distribution of cases at the beginning of an outbrea
102                           Adjustment for the age distribution of cases explains 66% of the variation
103                                          The age distribution of cases of A(H1N1)pdm09 infection sugg
104 ues show the importance of adjusting for the age distribution of cases of coronavirus disease 2019 be
105 ta exist to specifically examine whether the age distribution of cases remains constant over time in
106                    By comparing the expected age distribution of cases resulting from transmission by
107 outbreaks differed in predominant serogroup, age distribution of cases, and clinical syndrome.
108                  We analysed the spatial and age distribution of cases, and constructed time-resolved
109 d to the burden of severe disease and death, age distribution of cases, seasonality, and serotype dis
110                                 However, the age distribution of children with rotavirus did not diff
111                                          The age distribution of children with rotavirus gastroenteri
112                                              Age distribution of clinical trial participants was comp
113             We also observed a change in the age distribution of contacts.
114 y, from 0.20 to 0.58 because of the changing age distribution of dams.
115                             We find that the age distribution of deaths in younger age groups (less t
116 drivers of the recent change in the shifting age distribution of dengue cases in Thailand.
117                Crohn's disease has a bimodal age distribution of disease onset diagnosis.
118                               We studied the age distribution of duplicate genes in each of four euka
119 ples were taken proportionate to the sex and age distribution of each market.
120 a, we show that an unmistakable shift in the age distribution of epidemic deaths occurred during the
121 ses will mean for the size, composition, and age distribution of family networks.
122                                          The age distribution of fatal anaphylaxis varies significant
123                   This model may explain the age distribution of Hadean zircons and the absence of ea
124          Little is known, however, about the age distribution of Hedonic WB.
125 ale circumcision, to estimate changes in the age distribution of HIV incidence in a hyperepidemic reg
126                                          The age distribution of homozygotes and compound heterozygot
127              Secondary outcomes included the age distribution of hospitalizations among children less
128 nd their ability to reconstruct the observed age distribution of hospitalized infant dengue cases.
129 and H7N9, exhibit unexplained differences in age distribution of human cases.
130          For most immunizing infections, the age distribution of incident cases provides a more robus
131                      We aimed to compare the age distribution of infant deaths <6 months occurring in
132                    Seasonal variation in the age distribution of influenza A cases suggests that fact
133 also obtained estimates of the frequency and age distribution of influenza infection, which indicate
134                      This study compared the age distribution of influenza-related deaths in the Unit
135    Survival analysis was used to compare the age distribution of legal blindness in these two groups.
136 ggregated data show a J-shaped curve for the age distribution of maternal mortality, with a slightly
137                                          The age distribution of measles cases changes in response to
138                             The shift in the age distribution of measles susceptibility in response t
139                                 Finally, the age distribution of mouse-processed pseudogenes closely
140 uestions therefore include understanding the age distribution of naturally regenerating forests pan-t
141 b-Saharan Africa matures, evidence about the age distribution of new HIV infections and how this dist
142  reporting changes in mean age at infection, age distribution of new infections, and birth cohort cum
143 elation between the chromosomal location and age distribution of new male-biased genes formed by dupl
144                                          The age distribution of nurses not employed in health care w
145  and applied a mixture model to estimate the age distribution of paralogous pairs identified in EST s
146 re estimated from studies that specified the age distribution of participants.
147                              We compared the age distribution of patients who were reported to have s
148 designed to be independent of changes in the age distribution of patients with cancer and of changes
149  rate of severe pneumonia and a shift in the age distribution of patients with such illness, which wa
150 prevalence estimates, strain identification, age distribution of patients, and seasonal trends.
151 ll but four studies which did not report the age distribution of patients.
152                                   The normal age distribution of people with the haemochromatosis gen
153   Increasing baseline incidence and changing age distribution of pertussis suggest a central role of
154 he period of its epidemicity, 1900-1950, the age distribution of poliomyelitis cases increased gradua
155 tested the null hypothesis that the observed age distribution of recent positively selected linkage b
156                         We also analysed the age distribution of rotavirus-positive cases before and
157 ly, substantial variations were noted in the age distribution of RSV hospitalisation among infants bo
158 tion of R0 in African countries based on the age distribution of rubella infection using Bayesian hie
159      Weir and Schluter used variation in the age distribution of sister species to estimate that rece
160 n rate under G-CSF treatment and agrees with age distribution of sMDS onset and clinical sequencing d
161               To determine the incidence and age distribution of strabismus, overall and by subtype,
162 due to improved vaccination, has shifted the age distribution of susceptibility to measles throughout
163  (crude and directly adjusted to the overall age distribution of the 1980 U.S. population) and used a
164 nd crude rates were directly adjusted to the age distribution of the 1980 U.S. population.
165          Rates were directly adjusted to the age distribution of the 2000 U.S. population.
166 the tracks enabled us to infer body mass and age distribution of the animals that crossed the MTS.
167 h of tumor population depends on the initial age distribution of the cells in the tumor and the age-d
168 that control efforts should be guided by the age distribution of the children with poliomyelitis.
169  four years old and confirm the right-skewed age distribution of the Coelophysis assemblage.
170 in each birth epoch were age-standardized to age distribution of the cohorts.
171 ates were age adjusted based on the maternal age distribution of the EXPECT study.
172 , the mean degree growth rate over time, the age distribution of the firms, the preferential attachme
173 because it does not account for the size and age distribution of the Gaza Strip population.
174 longevity of people with HIV and shifted the age distribution of the HIV pandemic upward toward that
175 nal cyst, and photoreceptor layer damage.The age distribution of the patients with retinal pathologie
176 age, and strong dependence for NNS-RX on the age distribution of the population to be screened: essen
177 age of breast cancer is mainly driven by the age distribution of the population, and fewer older wome
178 ersisted after accounting for changes in the age distribution of the population.
179 ty simulations can be performed based on the age distribution of the population/region to be screened
180                                          The age distribution of the proportion of Caucasians and His
181  of anti-HBs seropositivity, adjusted to the age distribution of the recruit population in 2001, was
182 y in daughter cells and radically shifts the age distribution of the resulting population towards old
183                             Depending on the age distribution of the sample and on the underlying dis
184                             Furthermore, the age distribution of the scientific workforce is still ad
185                                          The age distribution of the study population was similar to
186 mpact of these changes on the size, sex, and age distribution of the target US population using data
187      This difference was not affected by the age distribution of the two groups.
188 standardized HTN prevalence according to the age distribution of the U.S. Census, using 3 groups (18-
189 fic mortality rates and adjusted them to the age distribution of the U.S. population in 1990.
190 linical trial participants was compared with age distribution of the US population with the disease o
191                   The timing, magnitude, and age distribution of this mortality shift provide strong
192  useful information on length of disease and age distribution of those affected.
193                                          The age distribution of those exposed has shifted away from
194           The model can predict the probable age distribution of tumours at presentation.
195                                  Data on the age distribution of typhoid fever in sSA are scarce but
196 gistration trials were analyzed according to age distributions of > or = 65, > or = 70, and > or = 75
197 uch protection might explain the contrasting age distributions of cases of the two lineages of influe
198 nces in the underlying population, including age distributions of deaths in the population.
199                              The genetic and age distributions of distinct proviral sequences remaine
200                         The geographical and age distributions of endemic Burkitt's lymphoma parallel
201 ple-gonotrophic cycle model we calculate the age distributions of mosquitoes which provides a framewo
202   We compared projected population sizes and age distributions of MSM receiving ART and investigated
203 ng groups by race and ethnicity on rates and age distributions of OP.
204             We sought datasets with granular age distributions of rotavirus-positive disease presenta
205                             We found similar age distributions of RSV-associated hospital admissions
206                                       We use age distributions of sea otters (Enhydra lutris) found d
207             Our results enable us to predict age distributions of severe disease for future pandemics
208                          The chromosomal and age distributions of TEs in D. melanogaster are very sim
209 e cell cycle because they alter the size and age distributions of the cultures.
210 t cancer may be due in part to the differing age distributions of the populations studied.
211                                          The age distributions of the US cancer population were deriv
212  COVID-19 mortality, the underlying sex- and age-distribution of populations need to be accounted for
213  seasonality, geographical heterogeneity and age-distribution of the epidemics between the periods of
214 a function to describe this and predict the "age distribution" of the CD8(+) T cell pool for animals
215      The editorialists explore the effect of age distribution on these rates and other determinants o
216  which could not be explained by a different age distribution or cataract surgical rate.
217 and vector control could affect the mosquito age distribution or other important metrics is unclear.
218 NOVA showed a significant difference between age distribution over the four subtypes (mean age 47.2 +
219         Statistically significant changes in age distribution over time were observed in 24% of the o
220 o consider the possibility of a shift in the age distribution over time when planning an outbreak res
221       Pearson chi(2) tests were conducted of age distributions over 2 periods during 41 large laborat
222 differences were found for sex (P = .999) or age distribution (P = .144) between groups.
223  statistically significant, disproportionate age distribution (P=0.06 and 0.5, respectively).
224 ases and poor generalization across genders, age distributions, races and ethnicities, hospitals, and
225  including sociodemographic features such as age distribution, racial/ethnic composition, median hous
226                                          The age distribution ranged from 56 to 85 years (mean: 64 ye
227 ate was seen over time, although the patient age distributions remained relatively stable.
228  with breast cancer therapy in women with an age distribution representative of routine clinical prac
229           In women with breast cancer and an age distribution representative of routine clinical prac
230               From 2000 to 2003, the bimodal age distribution returned to dominant younger ages at on
231 plume migration fail to explain the observed age distribution, rock composition, and erratic paleolat
232                                          The age distribution shifted during the outbreak towards inf
233 th widespread screening mammography, bimodal age distributions shifted to predominant older ages at d
234  Population densities decreased and size and age distributions shifted toward older and larger indivi
235                        Injecting drug users' age distribution should be assessed and compared across
236 mulations to estimate the effect of species' age distributions show growth trends close to those obse
237                  Species with more clustered age distributions show more negative growth trends, and
238 rgence from present-day RP genes, finding an age distribution similar to that for Alus.
239 of OSA (obstructive AHI > or = 20) showed an age distribution similar to that of OSA diagnosed by lab
240 mia was more common in our cohort and had an age distribution similar to that of the general hospital
241                                    Ancestral age distributions supported the presence of old resistan
242 Hib disease incidence, case-fatality ratios, age distribution, syndrome distribution, and effect of H
243 ies work even though they alter the size and age distributions: these cells still progress through th
244 tion models can project population sizes and age distributions to assist with health policy planning.
245 e identified 117 datasets and fit parametric age distributions to each country dataset and mortality
246 e, Bayesian concordance analysis and paralog age distributions to resolve relationships among gene co
247                                              Age distributions used in the branching process model ar
248 s after adjusting for population density and age distribution using Poisson regression, adjusting for
249 rotavirus disease mortality rates, rotavirus age distributions, vaccine timeliness, and vaccine effic
250                                              Age distribution varied by condition, but the prevalence
251  y of age and 120 adults from six societies (age distributions varied across societies).
252                                              Age distribution was 18-39 years: 53.9%; 40-60 years: 42
253                                          The age distribution was 50 to 59 years in 1244 (18.9%), 60
254 ing on whether current injecting drug users' age distribution was assumed to be the same as problem d
255                                              Age distribution was bimodal, with 58 (14%) children you
256                In 1588 hospitalizations, the age distribution was bimodal, with peaks in infancy and
257                 The high-mass end of beta 2M-AGE distribution was found to extend to the neighborhood
258                                          The age distribution was largely even, from 21.9% for the ag
259                                  Gestational age distribution was less than 29 weeks for 276 neonates
260 patients were less than one year of age; the age distribution was not significantly different among t
261 l dissimilarity respect to CTRLs, regardless age distribution, was reported.
262 s muscle and 30 healthy women with a similar age distribution were included in the study.
263                                          The age distributions were compared by sex, race, histology,
264                                    Catchment age distributions were evaluated and 46% of catchments h
265  increase was higher in the Netherlands, and age distributions were similar in both countries.
266 ears old, B(Yamagata) cases showed a bimodal age distribution with 27% who were <20 years old and 61%
267                             There was a wide age distribution with 52.2% of patients <65 yrs of age.
268  age, and (v) compare the contemporary stand age distributions with predicted natural disturbance reg
269 es substantial heterogeneity in the mosquito age distribution, with low frequency, positively autocor
270  Notable differences arise in the pseudogene age distribution, with multiple retro-transpositional bu
271                          There was a bimodal age distribution, with the greatest proportion of patien

 
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