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1.
International Journal of Gastrointestinal Intervention ; 11(1):42-45, 2022.
Article in English | Web of Science | ID: covidwho-1667853

ABSTRACT

As coronavirus disease 2019 (COVID-19) is a relatively novel infectious process, atypical presentations like acute pancreatitis (AP) are still being studied and a clear association between pancreatic injury and severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has yet to be estab-lished. This makes the diagnosis and management of such conditions exceedingly difficult. Although several cases of severe AP with concurrent SARS-CoV-2 infection have been reported, to the best of our knowledge, ours is the first COVID-19 case to present with necrotizing pancreatitis and the first reported case requiring intervention for associated local complications. Copyright (C) 2022, Society of Gastrointestinal Intervention.

2.
Environmental Research Letters ; 16(3):11, 2021.
Article in English | Web of Science | ID: covidwho-1396591

ABSTRACT

The evacuation of the population from flood-affected regions is a non-structural measure to mitigate flood hazards. Shelters used for this purpose usually accommodate a large number of flood evacuees for a temporary period. Floods during a pandemic result in a compound hazard. Evacuations under such situations are difficult to plan as social distancing is nearly impossible in the highly crowded shelters. This results in a multi-objective problem with conflicting objectives of maximizing the number of evacuees from flood-prone regions and minimizing the number of infections at the end of the shelter's stay. To the best of our knowledge, such a problem is yet to be explored in literature. Here we develop a simulation-optimization framework, where multiple objectives are handled with a max-min approach. The simulation model consists of an extended Susceptible-Exposed-Infectious-Recovered-Susceptible model. We apply the proposed model to the flood-prone Jagatsinghpur district in the state of Odisha, India. We find that the proposed approach can provide an estimate of people required to be evacuated from individual flood-prone villages to reduce flood hazards during the pandemic. At the same time, this does not result in an uncontrolled number of new infections. The proposed approach can generalize to different regions and can provide a framework to stakeholders to manage conflicting objectives in disaster management planning and to handle compound hazards.

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