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EconoQuantum

On-line version ISSN 2007-9869Print version ISSN 1870-6622

Abstract

SILVA, Eliud  and  SPARKS, Corey. Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocation. EconoQuantum [online]. 2021, vol.18, n.2, pp.82-98.  Epub Sep 27, 2021. ISSN 2007-9869.  https://doi.org/10.18381/eq.v18i2.7225.

Objective:

The mexican population has experimented an astounding rise in type II Diabetes mortality as well as a growing trend for the economic burden in the recent years. The paper’s purpose is to propose an approach to establish a distribution of resource allocation objectively to face the future economic burden.

Methodology:

Hierarchical forecasts of Diabetes mortality to 2030 by sub-domains of the population are estimated based on marginalization and sex.

Results:

The forecasts confirm that differences related to sub-domains will be significant. In fact, the rates will increase most notably both in low and high marginalized.

Limitations:

The hierarchical method just provide point forecast without prediction intervals.

Originality:

There is not a similar application for mexican data to do that objectively.

Conclusions:

The most recommendable budget distribution should be mainly addressed among the low and high levels. Implications of these estimates should support unpostponable health policy in general and for the mentioned sub-domains in particular.

Keywords : Diabetes; mortality; hierarchical forecasts; marginalization; resource allocation.

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