Kwame Nkrumah University of Science and Technology
65 publications · 294 citations
Network Security and Intrusion DetectionCryptography and Data SecurityCryptographic Implementations and SecurityAdvanced Malware Detection TechniquesIPv6, Mobility, Handover, Networks, Security
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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 are the comparative efficacy and adherence rates of new short-course latent tuberculosis infection (LTBI) regimens versus traditional long-course therapies in high-burden, low-resource settings?
Why this gap exists: While a 2023 network meta-analysis [6] synthesizes general efficacy and adherence data for LTBI regimens, the retrieved evidence lacks direct comparative studies specifically focused on high-burden, low-resource settings, leaving the specific constraints of these environments unresolved.
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
What are the specific long-term treatment strategies required to mitigate the risk of developing chronic non-communicable diseases in children born to mothers with gestational diabetes mellitus?
Why this gap exists: While the retrieved literature consistently establishes that maternal gestational diabetes mellitus (GDM) increases the long-term risk of cardiometabolic diseases in offspring [1][2][3], it focuses primarily on pathogenesis and risk association rather than defining specific, evidence-based long-term treatment strategies for the children to mitigate these risks.
What is the comparative efficacy and cost-effectiveness of the one-step 75g OGTT versus the two-step (50g GCT followed by 100g OGTT) diagnostic approach in preventing adverse maternal and neonatal outcomes?
Why this gap exists: While Abstract [7] compares diagnostic criteria and Abstract [4] compares 75g and 100g OGTTs, the retrieved evidence lacks direct, comparative studies on the cost-effectiveness and relative efficacy of the one-step versus two-step *approaches* in preventing adverse outcomes, leaving the specific question 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.