A polynomial regression model for excess mortality in Mexico in 2020–2022 due to the COVID-19 pandemic.
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| Title: | A polynomial regression model for excess mortality in Mexico in 2020–2022 due to the COVID-19 pandemic. |
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| Authors: | Comas-García, Andreu1,2 (AUTHOR), Erdely, Arturo3 (AUTHOR) aerdely@acatlan.unam.mx |
| Source: | Statistical Journal of the IAOS. Feb2025, Vol. 41 Issue 1, p112-123. 12p. |
| Subjects: | Regression analysis, Fix-point estimation, Channel estimation, COVID-19 pandemic, Mortality |
| Abstract: | Based on the comprehensive national death registry of Mexico spanning from 1998 to 2022 a point and interval estimation method for the excess mortality in Mexico during the years 2020–2022 is proposed based on illness-induced deaths only, using a polynomial regression model. The results obtained estimate that the excess mortality is around 788,000 people (39.3%) equivalently to a rate of 626 per 100,000 inhabitants. The male/female ratio is estimated to be 1.7 times. As a reference for comparison, for the whole period 2020–2022 Mexico's INEGI estimated an excess of mortality between 673,000 with a quasi-Poisson model and 808,000 using endemic channels estimation. [ABSTRACT FROM AUTHOR] |
| Copyright of Statistical Journal of the IAOS is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 184233387 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A polynomial regression model for excess mortality in Mexico in 2020–2022 due to the COVID-19 pandemic. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Comas-García%2C+Andreu%22">Comas-García, Andreu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Erdely%2C+Arturo%22">Erdely, Arturo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> aerdely@acatlan.unam.mx</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Statistical+Journal+of+the+IAOS%22">Statistical Journal of the IAOS</searchLink>. Feb2025, Vol. 41 Issue 1, p112-123. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Fix-point+estimation%22">Fix-point estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Channel+estimation%22">Channel estimation</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Mortality%22">Mortality</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Based on the comprehensive national death registry of Mexico spanning from 1998 to 2022 a point and interval estimation method for the excess mortality in Mexico during the years 2020–2022 is proposed based on illness-induced deaths only, using a polynomial regression model. The results obtained estimate that the excess mortality is around 788,000 people (39.3%) equivalently to a rate of 626 per 100,000 inhabitants. The male/female ratio is estimated to be 1.7 times. As a reference for comparison, for the whole period 2020–2022 Mexico's INEGI estimated an excess of mortality between 673,000 with a quasi-Poisson model and 808,000 using endemic channels estimation. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Statistical Journal of the IAOS is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=184233387 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/18747655241296389 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 112 Subjects: – SubjectFull: Regression analysis Type: general – SubjectFull: Fix-point estimation Type: general – SubjectFull: Channel estimation Type: general – SubjectFull: COVID-19 pandemic Type: general – SubjectFull: Mortality Type: general Titles: – TitleFull: A polynomial regression model for excess mortality in Mexico in 2020–2022 due to the COVID-19 pandemic. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Comas-García, Andreu – PersonEntity: Name: NameFull: Erdely, Arturo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18747655 Numbering: – Type: volume Value: 41 – Type: issue Value: 1 Titles: – TitleFull: Statistical Journal of the IAOS Type: main |
| ResultId | 1 |
