Sentence examples for demographic age structure from inspiring English sources

Of those Syrians screened under the public health strategy, the proportions who were children were comparable with their proportion per UNHCR regional demographic age structure.

Of those Syrians screened through June 2014, 45%% were 14 years of age or younger, which was comparable to the 45 % of the Syrian refugees aged 0 through 14 years derived from UNHCR regional demographic age structure [ 1].

These arguments are prevalent, even in the face of evidence that high-skilled immigrants often experience under-employment, especially in their early years in Canada, and that immigration has a very modest effect on demographic age structures.

It thus remains to be tested whether such effects will be upheld when applied to wild populations, where environmental (e.g. climatic) and demographic (age structures, densities and operational sex ratios) factors will exhibit much greater spatial and temporal heterogeneity.

We adjust for the discrepancy in the population age distributions of Taiwan in 2005 and the Netherlands in 1986, by considering the ratios of demographic age structures of Netherlands in 1987 (Appendix Table 1 in [ 29]) and of Taiwan in 2005 [Additional file 1: Table A1].

The impact of demographic factors, age structure and renal disease risk on ESRD incidence was analysed using the RiskDiff web tool [ 14], established as described [ 15].

As suggested by Waples (1991) and indicated by our simulation results, this bias appears relatively small; however, it is unknown whether this conjecture holds true for demographic and age structure parameters outside the scope of our simulation study.

Salisbury et al. found that the variation in call rates between different British cooperatives could not be accounted for by local demographic features (age structure, deprivation, and rurality) [ 14].

Determining the variability in transmissibility of a novel disease in populations with different demographics (eg, age structure, household composition, and housing density) is crucial for identifying the within-community factors that have the greatest influence on disease spread and (by changing the total number of infections) its severity.

We addressed this shortcoming by developing a model of the lemon shark population at Bimini incorporating both demographic stochasticity and age structure.

On the other hand, in contrast with other studies [ 5, 9, 10], demographic characteristics as age structure and population density did not explain the between-city heterogeneity.