Elsevier, The Lancet Public Health, Volume 7, February 2022
Background: A considerable proportion of people who inject drugs are unstably housed. Although unstable housing is associated with HIV and HCV infection among people who inject drugs, its contribution to transmission is unknown. We estimated the global and national proportions of incident HIV and HCV infections among people who inject drugs attributed to housing instability from 2020 to 2029.
Elsevier, The Lancet Global Health, Volume 10, February 2022
Background: China has the highest prevalence of hepatitis B virus (HBV) infection worldwide. Universal HBV screening might enable China to reach the WHO 2030 target of 90% diagnostics, 80% treatment, and 65% HBV-related death reduction, and eventually elimination of viral hepatitis. We evaluated the cost-effectiveness of implementing universal HBV screening in China and identified optimal screening strategies.
Elsevier,
The Lancet Planetary Health, Volume 6, February 2022
Small island developing states face challenges in cultivating healthy food systems and are currently bearing substantial burdens of obesity and type 2 diabetes. Local food production—rooted in collective local and Indigenous traditions, self-sufficiency, and climate-adaptive agricultural practices—has long emphasised a fibre-rich, plant-based diet; however, common histories of dietary colonialism have replaced local, small-scale farming and fisheries with non-nutritive cash crops, intensive livestock operations, and high-quality food exportation.
Elsevier,
Journal of Thoracic Oncology, 2022, In Press, https://doi.org/10.1016/j.jtho.2022.01.016
Addressing Sex Disparities in Lung Cancer Screening Eligibility: USPSTF vs PLCOm2012 Criteria
Elsevier,
Annals of Hepatology, Volume 27, January 2022
This article aligns with the SDG goal 3 of good health and wellbeing and SDG 10 Reduced inequalities by showing the importance of continuing screening for hepatitis and early detection of liver damage, especially in high-risk population groups.
Humanitarian aid in disasters is critical to saving lives and alleviating human suffering. This paper presents a novel scenario-based robust bi-objective optimization model that integrates medical facility location, casualty transportation, and relief commodity allocation considering triage. The proposed model aims to minimize the total deprivation cost of casualties due to the delayed access to medical services and the total operation cost.
