• Corpus ID: 231879907

A Bayesian cohort component projection model to estimate adult populations at the subnational level in data-sparse settings

@inproceedings{Alexander2021ABC,
  title={A Bayesian cohort component projection model to estimate adult populations at the subnational level in data-sparse settings},
  author={Monica J. Alexander and Leontine Alkema},
  year={2021}
}
Accurate estimates of subnational populations are important for policy formulation and monitoring population health indicators. For example, estimates of the number of women of reproductive age are important to understand the population at risk to maternal mortality and unmet need for contraception. However, in many low-income countries, data on population counts and components of population change are limited, and so levels and trends subnationally are unclear. We present a Bayesian… 
1 Citations

A manifesto for computational sociology: The Canadian perspective.

References

SHOWING 1-10 OF 52 REFERENCES

A Flexible Bayesian Model for Estimating Subnational Mortality

TLDR
A Bayesian hierarchical model to estimate mortality at the subnational level is presented, which builds on characteristic age patterns in mortality curves, which are constructed using principal components from a set of reference mortality curves.

Global estimation of child mortality using a Bayesian B-spline Bias-reduction model

TLDR
A Bayesian penalized B-spline regression model is described for assessing levels and trends in the U5MR for all countries in the world, whereby biases in data series are estimated through the inclusion of a multilevel model to improve upon the limitations of current methods.

Bayesian population reconstruction of female populations for less developed and more developed countries

TLDR
It is shown that Bayesian population reconstruction, a recent method for estimating past populations by age, works for data of widely varying quality and is extended to countries without censuses at regular intervals to assess the consistency of results between model life tables and available census data.

Estimating under-five mortality in space and time in a developing world context

TLDR
A new model to analyze survey data on mortality in a developing world context and examines whether a variety of spatial covariate surfaces can explain the variability in under-five mortality rate.

Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model

In recent years, much of the focus in monitoring child mortality has been on assessing changes in the under-five mortality rate (U5MR). However, as the U5MR decreases, the share of neonatal deaths

National population mapping from sparse survey data: A hierarchical Bayesian modeling framework to account for uncertainty

TLDR
A hierarchical Bayesian model to estimate population numbers in small areas based on enumeration data from sample areas and nationwide information about administrative boundaries, building locations, settlement types, and other factors related to population density is developed.

Bayesian probabilistic population projections for all countries

TLDR
The results suggest that the current United Nations high and low variants greatly underestimate uncertainty about the number of oldest old from about 2050 and that they underestimate uncertainty for high fertility countries and overstate uncertainty for countries that have completed the demographic transition.

A General Age-Specific Mortality Model with An Example Indexed by Child or Child/Adult Mortality

BACKGROUND. The majority of countries in Africa and nearly one third of all countries require mortality models to infer complete age schedules of mortality, required for population estimates,

Age patterns and sex ratios of adult mortality in countries with high HIV prevalence

TLDR
Discrepancies in levels, sex ratios and age patterns of adult mortality between empirical and UNAIDS estimates call for additional data quality assessments and improvements in estimation methods.
...