Viral Infections and Outbreaks ResearchCOVID-19 epidemiological studiesGlobal Maternal and Child HealthZoonotic diseases and public healthVirology and Viral Diseases
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What are the long-term developmental and health outcomes in children born to mothers who experienced COVID-19-related mental health stressors compared to those who did not, controlling for socioeconomic status?
Why this gap exists: While recent studies [0, 5, 6] link pandemic-related maternal distress to child neurodevelopmental issues, the retrieved evidence focuses on general pandemic exposure rather than specifically isolating COVID-19 mental health stressors while controlling for socioeconomic status, leaving the specific comparison unresolved.
How do specific policy frameworks regarding social protection and food systems in low-income countries moderate the projected increase in child wasting and maternal undernutrition caused by economic shocks like the COVID-19 pandemic?
Why this gap exists: While the retrieved literature confirms the projected increase in child wasting and maternal undernutrition due to COVID-19 disruptions [0] and explores general concepts of food system resilience [2] and social protection [3], no study directly quantifies how specific policy frameworks moderate these projected outcomes, leaving the core interaction unresolved.
How do specific maternal microbiota profiles (gut, oral, or vaginal) during gestation correlate with the development of gestational diabetes mellitus (GDM) and subsequent long-term metabolic health in offspring?
Why this gap exists: While recent reviews [8] confirm GDM alters maternal gut microbiota and neonatal health, and older studies [0] note dysbiosis across maternal sites, the retrieved evidence lacks direct, longitudinal studies correlating specific gestational maternal microbiota profiles with the *long-term* metabolic health of offspring, leaving the core question unresolved.
Microbes in the Moonlight: How the Gut Microbiota Influences Sleep — arXiv preprint, 2025
To what extent do changes in the maternal microbiota (gut, oral, or vaginal) during pregnancy mediate the relationship between maternal perinatal anxiety/depression and the neurodevelopmental outcomes of the offspring?
Why this gap exists: While recent studies confirm associations between maternal mental health and microbiota composition (Abstract 5, 8) and suggest the microbiome-gut-brain axis influences neurodevelopment (Abstract 0, 2), the retrieved evidence does not contain studies that directly test the mediating role of maternal microbiota changes between perinatal anxiety/depression and offspring neurodevelopmental outcomes.
What is the comparative efficacy of digital or telehealth lactation support versus traditional face-to-face peer support on breastfeeding exclusivity rates during pandemic-related social restrictions?
Why this gap exists: While Abstract [3] confirms the general effectiveness of digital health interventions on breastfeeding practices and Abstract [0] notes the cancellation of face-to-face peer support during the pandemic, the retrieved evidence does not contain a direct comparative study between digital/telehealth lactation support and traditional face-to-face peer support specifically regarding exclusivity rates during social restrictions.
What is the comparative efficacy of digital versus in-person delivery of mental health interventions for mitigating the increased risk of perinatal depression and anxiety in low-income and middle-income countries during future pandemic-like disruptions?
Why this gap exists: While abstracts [6] and [8] compare digital and in-person delivery during the pandemic, they are set in high-income contexts (Spain, unspecified high-income), and abstract [7] focuses on LMICs but lacks a comparative digital vs. in-person design, leaving the specific question of comparative efficacy in LMICs unresolved.
Detecting anxiety and depression in dialogues: a multi-label and explainable approach — de Arriba-Pérez, F., García-Méndez, S. (2024). Detecting anxiety and depression in dialogues: a multi-label and explainable approach. In Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (pp. 257-271), 2024
Detecting anxiety and depression in dialogues: a multi-label and explainable approach — de Arriba-Pérez, F., García-Méndez, S. (2024). Detecting anxiety and depression in dialogues: a multi-label and explainable approach. In Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (pp. 257-271), 2024