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Logistic Methods in Calculating Mortality Index in Hidalgo México

¹ Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México
² Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México
³ Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México
⁴ Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México
⁵ Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México
⁶ Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México
⁷ Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México
⁸ Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México

Applied Mathematics·Volume 06 (2015)·Pages 1193–1199·Published 3 July 2015·DOI10.4236/am.2015.68110

Abstract

Mortality projections in a population are based on the prior analysis of mortality in a region, hoever, there are populations where data are not available or not reflect its real mortality level, that is, the projections depend on hypothesis strength of previous data. Based on these assumptions, the mathematical method Genova I Maleras 1997 used the most recent data and the model tables from the United Nations (UN). This method was applied to a mortality survey of the population of Hidalgo State, Mexico, projecting to year 2030. This method has not been applied in Mexico.

KeywordsMortality ProjectionGenova I Maleras Method

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Logistic Methods in Calculating Mortality Index in Hidalgo México

Abstract

References (11)