Cow's milk is a naturally nutrient-dense foodstuff. A significant source of many essential nutrients, its inclusion as a component of a healthy balanced diet has been long recommended. Beyond milk's nutritional value, an increasing body of evidence illustrates cow's milk may confer numerous benefits related to health. Evidence from adult populations suggests that cow's milk may have a role in overall dietary quality, appetite control, hydration and cognitive function. Although evidence is limited compared to the adult literature, these benefits may be echoed in recent paediatric studies. This article, therefore, reviews the scientific literature to provide an evidence-based evaluation of the associated health benefits of cow's milk consumption in primary-school aged children (4-11 years). We focus on seven key areas related to nutrition and health comprising nutritional status, hydration, dental and bone health, physical stature, cognitive function, and appetite control. The evidence consistently demonstrates cow's milk (plain and flavoured) improves nutritional status in primary-school aged children. With some confidence, cow's milk also appears beneficial for hydration, dental and bone health and beneficial to neutral concerning physical stature and appetite. Due to conflicting studies, reaching a conclusion has proven difficult concerning cow's milk and cognitive function therefore a level of caution should be exercised when interpreting these results. All areas, however, would benefit from further robust investigation, especially in free-living school settings, to verify conclusions. Nonetheless, when the nutritional-, physical- and health-related impact of cow's milk avoidance is considered, the evidence highlights the importance of increasing cow's milk consumption.Estimating the lengths-of-stay (LoS) of hospitalised COVID-19 patients is key for predicting the hospital beds' demand and planning mitigation strategies, as overwhelming the healthcare systems has critical consequences for disease mortality. However, accurately mapping the time-to-event of hospital outcomes, such as the LoS in the intensive care unit (ICU), requires understanding patient trajectories while adjusting for covariates and observation bias, such as incomplete data. Standard methods, such as the Kaplan-Meier estimator, require prior assumptions that are untenable given current knowledge. Using real-time surveillance data from the first weeks of the COVID-19 epidemic in Galicia (Spain), we aimed to model the time-to-event and event probabilities of patients' hospitalised, without parametric priors and adjusting for individual covariates. We applied a non-parametric mixture cure model and compared its performance in estimating hospital ward (HW)/ICU LoS to the performances of commonly used methods to estimate survival. We showed that the proposed model outperformed standard approaches, providing more accurate ICU and HW LoS estimates. Finally, we applied our model estimates to simulate COVID-19 hospital demand using a Monte Carlo algorithm. We provided evidence that adjusting for sex, generally overlooked in prediction models, together with age is key for accurately forecasting HW and ICU occupancy, as well as discharge or death outcomes. To determine changes and factors associated with child malnutrition, obesity in women and household food insecurity before and after the first wave of COVID-19 pandemic. A prospective follow-up study. In 2019, the baseline Urban Health and Nutrition Study 2019 (UHNS-2019) was conducted in 603 households, which were selected randomly from 30 clusters to represent underserved urban settlements in Colombo. In the present study, 35 % of households from the UHNS-2019 cohort were randomly selected for repeat interviews, 1 year after the baseline study and 6 months after COVID-19 pandemic in Sri Lanka. Height/length and weight of children and women were re-measured, household food insecurity was reassessed, and associated factors were gathered through interviewer-administered questionnaires. Differences in measurements at baseline and follow-up studies were compared. A total of 207 households, comprising 127 women and 109 children were included. The current prevalence of children with wasting and overweight was higher in the follow-up study than at baseline UHNS-2019 (18·3 % v. Almorexant in vivo 13·7 %; P = 0·26 and 8·3 % v. 3·7 %; P = 0·12, respectively). There was a decrease in prevalence of child stunting (14·7 % v. 11·9 %; P = 0·37). A change was not observed in overall obesity in women, which was about 30·7 %. Repeated lockdown was associated with a significant reduction in food security from 57 % in UHNS-2019 to 30 % in the current study (P < 0·001). There was an increase in wasting and overweight among children while women had a persistent high prevalence of obesity. This population needs suitable interventions to improve nutrition status of children and women to minimise susceptibility to COVID-19.There was an increase in wasting and overweight among children while women had a persistent high prevalence of obesity. This population needs suitable interventions to improve nutrition status of children and women to minimise susceptibility to COVID-19. To investigate the association between the Children's Dietary Inflammatory Index (C-DIITM) scores and atherogenic risk in Brazilian schoolchildren. A cross-sectional representative study. Three 24-h dietary recalls were performed to evaluate food consumption and to calculate C-DII scores. Blood samples were collected for the lipid profile analysis (serum total cholesterol (TC), HDL-cholesterol, LDL-cholesterol, VLDL-cholesterol and triglycerides (TAG)) and to determine atherogenic indexes (Castelli risk indexes I and II, lipoprotein combined index (LCI), and atherogenic index of plasma and atherogenic coefficient (AC)). A semi-structured questionnaire was used to obtain sociodemographic characteristics and screen time. Body fat was assessed by dual-energy X-ray absorptiometry. We compared the distributions of outcomes by C-DII categories using multivariable linear regression. Viçosa, Minas Gerais, Brazil. Three hundred seventy-eight children between the ages of 8 and 9 years. The mean C-DII score was 0·60 ± 0·94, and the prevalence of dyslipidaemia was 70 %.