Health Dynamics Through Psychometric Networks in Gynecology, Obstetrics, Reproductive Health And COVID-19 Research

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Abstract

Network analysis offers a valuable methodological and practical contribution to research in gynecology, obstetrics and reproductive health. This analysis enables clinicians to interpret and translate the information derived from their research into better integrated care in the clinical population of interest, allowing them to focus a concrete intervention based on network results, from the perspective of complex model systems. The evaluation of the network reinforces a better explanation of the functioning of various reproductive and maternal health conditions to explain how their etiological mechanisms and concomitant variables interact with each other, of major clinical importance in the current COVID-19 pandemic context.
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通过心理测量网络在妇产科、生殖健康和COVID-19研究中的健康动态
网络分析为妇科、产科和生殖健康研究提供了宝贵的方法和实践贡献。这种分析使临床医生能够解释和翻译从他们的研究中获得的信息,从而更好地综合护理感兴趣的临床人群,使他们能够从复杂模型系统的角度,根据网络结果集中进行具体的干预。对该网络的评估有助于更好地解释各种生殖和孕产妇健康状况的功能,以解释其病因机制和伴随变量如何相互作用,这在当前COVID-19大流行背景下具有重要的临床意义。
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