The Lancet Global Health, Volume 10, August 2022

This Comment article supports SDGs 3, 6, and 10 by highlighting major disparities in the coverage and quality of water, sanitation, and hygiene (WASH) services for minority ethnic groups in Bangladesh.
An Article showing the beneficial impact of lifestyle interventions on weight loss and weight maintenance among the Pasifika community, in the context of SDG 3 and 10.
This review focuses on the potential exposure routes, human health impacts, and toxicity response of MPs/NPs on human health, through reviewing the literature on studies conducted in different in vitro and in vivo experiments on organisms, human cells, and the human experimental exposure models.
This paper discussed the development and testing of a gamma radiation dose rate calculation model for the marine environment, and evaluates the potential use for such a model in both short term nuclear emergency response management and emergency response planning.
Background: Empirical, updated country-level estimates on the proportion of cirrhosis attributable to viral hepatitis are required.
The United Nations General Assembly decided that International Day of the World’s Indigenous Peoples would be observed every year on 9th August. On this day, people from around the world are encouraged to help spread the UN’s message on the protection and promotion of the rights of indigenous peoples. Elsevier is pleased to share this special collection of freely available articles to help spread awareness about this important topic. Please feel free to download and share these papers.
 schematic overview of the model-fitting process
Background: Indices of ventilation heterogeneity (VH) from multiple breath washout (MBW) have been shown to correlate well with VH indices derived from hyperpolarised gas ventilation MRI. Here we report the prediction of ventilation distributions from MBW data using a mathematical model, and the comparison of these predictions with imaging data. Methods: We developed computer simulations of the ventilation distribution in the lungs to model MBW measurement with 3 parameters: σV, determining the extent of VH; V0, the lung volume; and VD, the dead-space volume. These were inferred for each individual from supine MBW data recorded from 25 patients with cystic fibrosis (CF) using approximate Bayesian computation. The fitted models were used to predict the distribution of gas imaged by 3He ventilation MRI measurements collected from the same visit. Results: The MRI indices measured (I1/3, the fraction of pixels below one-third of the mean intensity and ICV, the coefficient of variation of pixel intensity) correlated strongly with those predicted by the MBW model fits (r=0.93,0.88 respectively). There was also good agreement between predicted and measured MRI indices (mean bias ± limits of agreement: I1/3:−0.003±0.118 and ICV:−0.004±0.298). Fitted model parameters were robust to truncation of MBW data. Conclusion: We have shown that the ventilation distribution in the lung can be inferred from an MBW signal, and verified this using ventilation MRI. The Bayesian method employed extracts this information with fewer breath cycles than required for LCI, reducing acquisition time required, and gives uncertainty bounds, which are important for clinical decision making.

Clinics in Liver Disease, Volume 26, Issue 3, August 2022, Pages 473-488

This content links with Goal 3: Good health and well-being and Goal 10: Reduced Inequalities by providing content of Wilson Disease in children including manifestations and management.
This chapter advances the UN SDG Goal 3: Good Health and Goal 10: Reduced Inequalities by highlighting the disparities in access to and use of digital health which mirrors the disparities in diabetes prevalence and outcomes.