CONCLUSIONS: The CRACoV-AKI model enables AKI risk stratification among hospitalized patients with COVID-19. Machine learning-based tools may thus offer additional decision-making support for specialist providers.
INTRODUCTION: The aim of this integrative review is to understand (1) how parents in specific populations engage with online breastfeeding, chestfeeding, or lactation support groups, (2) how these support groups influence extended breastfeeding
To slow the spread of COVID-19 many mental health providers transitioned to telehealth delivery of trauma-focused treatment for maltreated children. However, these providers faced myriad challenges, including equitable access to equipment and
CONCLUSION: The pandemic and its restrictions exacerbated the problematics affecting informal caregivers. Although these people are aware of their situation and have valued knowledge of how to improve their health, they cannot always put it into
CONCLUSION: The deaths in the study were urban-centric. Higher Covid-19 mortality was observed in unvaccinated older men (≥65 years) with one or more comorbidity.
BACKGROUND: There are limited global data on head-to-head comparisons of vaccine platforms assessing both humoral and cellular immune responses, stratified by pre-vaccination serostatus. The COVID-19 vaccination drive for the Indian population in the
CONCLUSION: Prolonged mask use may exacerbate anxiety, especially among those wearing N95 respirator masks. In a post-pandemic environment, governments should improve public health beliefs regarding coronavirus disease 2019 and promote the safety of
CONCLUSION: The variations in the RDT antibodies'performance can cause errors in diagnosis leading to significant material and immaterial losses. Therefore, cooperation from various parties is needed for the pre- and post-marketing surveillance