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1.
Gac. sanit. (Barc., Ed. impr.) ; 34(3): 238-244, mayo-jun. 2020. tab, mapas, graf
Article in English | IBECS | ID: ibc-196614

ABSTRACT

OBJECTIVE: To describe trends in fertility in Spain before (pre-recession; 1998-2008) and during (recession period; 2009-2013) the economic crisis of 2008, taking into account women's age and regional unemployment in 2010. METHOD: The study consisted of a panel design including cross-sectional ecological data for the 17 regions of Spain. We describe fertility trends in Spain in two time periods, pre-recession (1998-2008) and recession (2009-2013). We used a cross-sectional, ecological study of Spanish-born women to calculate changes in fertility rates for each period using a linear regression model adjusted for year, period, and interaction between them. RESULTS: We found that compared to the pre-recession period, the fertility rate in Spain generally decreased during the economic recession. However, in some regions, such as the Canary Islands, this decrease began before the onset of the recession, while in other regions, such as the Basque country, the fertility rate continued to grow until 2011. The effects of the recession on the fertility rate are clearly observed in women aged 30-34 years. CONCLUSIONS: The current economic recession has disrupted the positive trend in fertility that began at the start of this century. Since Spain already had very low fertility rates, the further decline caused by the economic recession could jeopardize the sustainability of welfare-state systems


OBJETIVO: Describir las tendencias de la fecundidad en España en la época precrisis (1998-2008) y durante la crisis (2009-2013) económica, teniendo en cuenta la edad de las mujeres y el desempleo regional en 2010. MÉTODO: Se utiliza un diseño panel que incluye datos ecológicos transversales para las 17 comunidades autónomas de España. Se describen las tendencias de fecundidad en los dos periodos. Para calcular los cambios en las tasas de fecundidad se utiliza un modelo de regresión lineal ajustado por año, periodo e interacción de ellas. RESULTADOS: En comparación con el periodo anterior, la tasa de fecundidad global en España disminuyó durante la crisis económica. Sin embargo, en algunas comunidades, como las Islas Canarias, esta disminución comenzó antes del inicio de la crisis, mientras que en otras, como el País Vasco, la tasa de fecundidad continuó creciendo hasta 2011. Los efectos de la crisis en la fecundidad se observan claramente en mujeres de 30 a 34 años. CONCLUSIONES: La crisis económica actual ha interrumpido la tendencia positiva en la fecundidad que comenzó a principios de este siglo. Dado que España ya tenía tasas de fecundidad muy bajas, el descenso causado por la crisis económica podría poner en peligro la sostenibilidad de los sistemas de bienestar social


Subject(s)
Humans , Female , Adolescent , Young Adult , Adult , Middle Aged , Fecundity Rate , Unemployment/trends , Birth Rate/trends , Pregnancy Rate/trends , Economic Recession/statistics & numerical data , Ecological Studies , Maternal Age , Spain/epidemiology
2.
Gac Sanit ; 34(3): 238-244, 2020.
Article in English | MEDLINE | ID: mdl-31640904

ABSTRACT

OBJECTIVE: To describe trends in fertility in Spain before (pre-recession; 1998-2008) and during (recession period; 2009-2013) the economic crisis of 2008, taking into account women's age and regional unemployment in 2010. METHOD: The study consisted of a panel design including cross-sectional ecological data for the 17 regions of Spain. We describe fertility trends in Spain in two time periods, pre-recession (1998-2008) and recession (2009-2013). We used a cross-sectional, ecological study of Spanish-born women to calculate changes in fertility rates for each period using a linear regression model adjusted for year, period, and interaction between them. RESULTS: We found that compared to the pre-recession period, the fertility rate in Spain generally decreased during the economic recession. However, in some regions, such as the Canary Islands, this decrease began before the onset of the recession, while in other regions, such as the Basque country, the fertility rate continued to grow until 2011. The effects of the recession on the fertility rate are clearly observed in women aged 30-34 years. CONCLUSIONS: The current economic recession has disrupted the positive trend in fertility that began at the start of this century. Since Spain already had very low fertility rates, the further decline caused by the economic recession could jeopardize the sustainability of welfare-state systems.


Subject(s)
Birth Rate/trends , Economic Recession , Fertility , Adolescent , Adult , Cross-Sectional Studies , Female , Geography, Medical , Health Policy , Humans , Linear Models , Live Birth , Male , Maternal Age , Middle Aged , Sexism , Spain/epidemiology , Unemployment , Young Adult
3.
Sensors (Basel) ; 18(12)2018 Nov 28.
Article in English | MEDLINE | ID: mdl-30487455

ABSTRACT

An underwater wireless sensor networks (UWSNs) is an emerging technology for environmental monitoring and surveillance. One of the side effects of the low propagation speed of acoustic waves is that routing protocols of terrestrial wireless networks are not applicable. To address this problem, routing strategies focused on different aspects have been proposed: location free, location based, opportunistic, cluster based, energy efficient, etc. These mechanisms usually require measuring additional parameters, such as the angle of arrival of the signal or the depth of the node, which makes them less efficient in terms of energy conservation. In this paper, we propose a cross-layer proactive routing initialization mechanism that does not require additional measurements and, at the same time, is energy efficient. The algorithm is designed to recreate a radial topology with a gateway node, such that packets always use the shortest possible path from source to sink, thus minimizing consumed energy. Collisions are avoided as much as possible during the path initialization. The algorithm is suitable for 2D or 3D areas, and automatically adapts to a varying number of nodes, allowing one to expand or decrease the networked volume easily.

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