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A simulation modelling study on the contraceptive, sexual, and reproductive dynamics of the Mexican female population

A simulation modelling study on the contraceptive, sexual, and reproductive dynamics of the Mexican female population
A simulation modelling study on the contraceptive, sexual, and reproductive dynamics of the Mexican female population
This thesis introduces a system dynamics model featuring an endogenously driven, multistate, age-structured, time-varying, and stochastic structure. The devised model allowed, for the first time, to represent the contraceptive, sexual, and reproductive behaviours that characterise different age and birth cohorts of Mexican women at their reproductive ages.

By depicting the interrelations between such behaviours, the model allowed the estimation and projection of a set of hypothetical contraceptive provision policies and programme-relevant health (i.e., unintended pregnancy, unsafe abortion, maternal deaths) and economic (i.e., cost-effectiveness) indicators. Of the compared policies, increasing adoption of modern reversible contraception, and an integrated policy that aims to increase modern reversible contraception whilst reducing method discontinuation, proved to be the two most efficient in terms of health outcomes and monetary investment.

The results obtained, and the conclusions established in this manuscript will be relevant for the Mexican context and appealing to policymakers, who are currently interested in finding innovative approaches to expanding contraceptive coverage with economically efficient strategies, as it is established in the national guidance on Sexual and Reproductive Health.

The model formulation will also be relevant in the system dynamics modelling field, as a novel, open-source, vectorised architecture will be available to study contraceptive, sexual and reproductive behaviours in different contexts. Although the data needs of the model are substantial, most can be satisfied with regularly collected, and easy-to-access cross-sectional data or topic-specific literature.
University of Southampton
Garnelo Bibiano, Niceforo
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Garnelo Bibiano, Niceforo
a448b3c4-6762-4136-b161-2a1154351e55
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f
Bayer, Steffen
28979328-d6fa-4eb7-b6de-9ef97f8e8e97

Garnelo Bibiano, Niceforo (2025) A simulation modelling study on the contraceptive, sexual, and reproductive dynamics of the Mexican female population. University of Southampton, Doctoral Thesis, 210pp.

Record type: Thesis (Doctoral)

Abstract

This thesis introduces a system dynamics model featuring an endogenously driven, multistate, age-structured, time-varying, and stochastic structure. The devised model allowed, for the first time, to represent the contraceptive, sexual, and reproductive behaviours that characterise different age and birth cohorts of Mexican women at their reproductive ages.

By depicting the interrelations between such behaviours, the model allowed the estimation and projection of a set of hypothetical contraceptive provision policies and programme-relevant health (i.e., unintended pregnancy, unsafe abortion, maternal deaths) and economic (i.e., cost-effectiveness) indicators. Of the compared policies, increasing adoption of modern reversible contraception, and an integrated policy that aims to increase modern reversible contraception whilst reducing method discontinuation, proved to be the two most efficient in terms of health outcomes and monetary investment.

The results obtained, and the conclusions established in this manuscript will be relevant for the Mexican context and appealing to policymakers, who are currently interested in finding innovative approaches to expanding contraceptive coverage with economically efficient strategies, as it is established in the national guidance on Sexual and Reproductive Health.

The model formulation will also be relevant in the system dynamics modelling field, as a novel, open-source, vectorised architecture will be available to study contraceptive, sexual and reproductive behaviours in different contexts. Although the data needs of the model are substantial, most can be satisfied with regularly collected, and easy-to-access cross-sectional data or topic-specific literature.

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Published date: 2025

Identifiers

Local EPrints ID: 501607
URI: http://eprints.soton.ac.uk/id/eprint/501607
PURE UUID: 5dfbd2d6-fcec-4002-aae6-097bef0b45f6
ORCID for Niceforo Garnelo Bibiano: ORCID iD orcid.org/0000-0001-5057-1889
ORCID for Sally Brailsford: ORCID iD orcid.org/0000-0002-6665-8230
ORCID for Steffen Bayer: ORCID iD orcid.org/0000-0002-7872-467X

Catalogue record

Date deposited: 04 Jun 2025 16:49
Last modified: 10 Sep 2025 14:03

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Contributors

Author: Niceforo Garnelo Bibiano ORCID iD
Thesis advisor: Sally Brailsford ORCID iD
Thesis advisor: Steffen Bayer ORCID iD

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