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Exploring the Nexus Between Fertility Rates and Geopolitical Risk with Intelligence Methods: A Multifaceted Analysis
Maria Tzitiridou-Chatzopoulou1, Georgia Zournatzidou2,3, Ioannis Tsakiridis4
1Midwifery Department, School of Healthcare Sciences, University of Western Macedonia, Koila, 50 100 Kozani, Greece.
Healthcare (Basel, Switzerland)
|November 27, 2024
Summary
Geopolitical instability significantly impacts birth rates in Scotland, influencing decisions on having children. Machine learning models effectively predict these trends, incorporating geopolitical risk factors.
Area of Science:
- Demography
- Public Health
- Political Science
Background:
- Analysis of birth rate statistics in Scotland.
- Focus on the influence of geopolitical concerns on birth rate forecasts.
Purpose of the Study:
- Investigate how geopolitical risks affect birth rate predictions.
- Examine the impact of healthcare service disruptions on birth outcomes.
Main Methods:
- Utilized machine learning algorithms and classical statistical procedures.
- Incorporated the Geopolitical Risk Index as a predictive factor.
Main Results:
- Machine learning models demonstrated high accuracy in birth rate predictions.
- Geopolitical risk was identified as a significant factor influencing birth rate dynamics.
Conclusions:
- Machine learning regression models show effectiveness in predicting Scottish births.
- Geopolitical instability substantially influences birth and fertility rates.
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