Utilizing a Mathematical Model to Estimate Abortion Decline Scenario
R. Sutiawan

TL;DR
This paper uses a mathematical model based on Bongaarts' determinants to estimate how changes in contraceptive use and reproductive behaviors could significantly reduce abortion rates in Indonesia, aiding policy planning.
Contribution
It demonstrates the application of a Bongaarts-based mathematical model to project abortion decline scenarios using Indonesian demographic data.
Findings
Estimated current abortion rate is 1.9-2.2 per woman.
Increasing contraceptive prevalence to 69% could reduce abortions by one per woman.
Delaying marriage and increasing birth intervals can drastically lower abortion rates.
Abstract
Abortion is one of the biggest causes of maternal deaths, accounting for 15% of maternal deaths in Southeast Asia. The increase in and effectiveness of using contraception are still considered to be the effective method to reduce abortion rate. Data pertaining to abortion incidence and effective efforts to reduce abortion rate in Indonesia is limited and difficult to access. Meanwhile such supporting information is necessary to enable the planning and evaluation of abortion control programs. This paper exemplifies the use of a mathematical model to explain an abortion decline scenario. The model employs determinants proposed by Bongaarts, which include average reproductive period, contraceptive prevalence and effectiveness, total fertility rate (TFR), and intended total fertility rate (ITFR), as well as birth and abortion intervals. The data used is from the 1991-2007 Indonesian…
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Taxonomy
TopicsMarriage and Family Dynamics · Reproductive Health and Contraception
