Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocation
Abstract: 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.
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Universidad de Guadalajara
2021
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oai:scielo:S1870-662220210002000822021-09-22Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocationSilva,EliudSparks,Corey Diabetes mortality hierarchical forecasts marginalization resource allocation Abstract: 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.info:eu-repo/semantics/openAccessUniversidad de GuadalajaraEconoQuantum v.18 n.2 20212021-12-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1870-66222021000200082en10.18381/eq.v18i2.7225 |
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America del Norte |
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English |
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Digital |
| author |
Silva,Eliud Sparks,Corey |
| spellingShingle |
Silva,Eliud Sparks,Corey Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocation |
| author_facet |
Silva,Eliud Sparks,Corey |
| author_sort |
Silva,Eliud |
| title |
Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocation |
| title_short |
Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocation |
| title_full |
Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocation |
| title_fullStr |
Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocation |
| title_full_unstemmed |
Hierarchical forecasts of Diabetes mortality in Mexico by marginalization and sex to establish resource allocation |
| title_sort |
hierarchical forecasts of diabetes mortality in mexico by marginalization and sex to establish resource allocation |
| description |
Abstract: 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. |
| publisher |
Universidad de Guadalajara |
| publishDate |
2021 |
| url |
http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1870-66222021000200082 |
| work_keys_str_mv |
AT silvaeliud hierarchicalforecastsofdiabetesmortalityinmexicobymarginalizationandsextoestablishresourceallocation AT sparkscorey hierarchicalforecastsofdiabetesmortalityinmexicobymarginalizationandsextoestablishresourceallocation |
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