Articles

Elsevier, Transportation Research Part E: Logistics and Transportation Review, Volume 157, January 2022
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.
Elsevier, European Management Journal, Volume , 2022
Purpose: In this study, we identify and characterise how organisations have responded, in ways ranging from restoration to radical change, to discontinuities in their product-based service (PBS) supply chains during the COVID-19 pandemic.
Elsevier, Journal of Thoracic Oncology, Volume 17, January 2022
Screening with low-dose computed tomography of high-risk individuals with a smoking history reduces lung cancer mortality. Current screening guidelines and eligibility criteria can miss more than 50% of lung cancers, and in some geographic areas, such as East Asia, a large proportion of the missed lung cancers are in never-smokers. Although randomized trials revealed the benefits of screening for people who smoke, these trials generally excluded never-smokers. Thus, the feasibility and effectiveness of lung cancer screening of individuals who never smoked are uncertain.
Elsevier, Transportation Research Part A: Policy and Practice, Volume 155, January 2022
Mobility as a Service (MaaS) is a recent concept that is gaining momentum in both the scientific world and the private sector. First studies and field trials – essentially conducted in developed countries – suggest that MaaS can influence people's mobility behavior and create more efficient and sustainable transport systems for the future. We intend to contribute to the existing knowledge about MaaS by extending the scope to the context of developing countries where MaaS could be a potential strategy to address existing transport problems.
Elsevier, Chest, Volume 161, January 2022
Background: Ozone effects on lung function are particularly important to understand in the context of the air pollution-health outcomes epidemiologic literature, given the complex relationships between ozone and other air pollutants with known lung function effects. Research Question: What has been learned about the association between ozone exposures and lung function from epidemiology studies published from 2013 through 2020?
Elsevier, The Lancet Planetary Health, Volume 6, January 2022
Background: Long-term exposure to ambient air pollution has been associated with premature mortality, but associations at concentrations lower than current annual limit values are uncertain. We analysed associations between low-level air pollution and mortality within the multicentre study Effects of Low-Level Air Pollution: A Study in Europe (ELAPSE).
Elsevier, The Lancet Planetary Health, Volume 6, January 2022
Background: Climate change and air pollution are two major societal problems. Their complex interplay calls for an advanced evaluation framework that can support decision making. Previous assessments have looked at the co-benefits of climate policies for air pollution, but few have optimised air pollution benefits. In our study, we lay out a modelling framework that internalises air pollution's economic impacts on human mortality, while considering climate constraints and aerosol feedback.
Elsevier, iScience, Volume 25, 21 January 2022
Mitigating and adapting to climate change requires decarbonizing electricity while ensuring resilience of supply, since a warming planet will lead to greater extremes in weather and, plausibly, in power outages. Although it is well known that long-duration outages severely impact economies, such outages are usually not well characterized or modeled in grid infrastructure planning tools. Here, we bring together data and modeling techniques and show how they can be used to characterize and model long-duration outages.

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