Akshaya Suresh,Edward H Kaplan,Edieal J Pinker et al.
Akshaya Suresh et al.
Reading disabilities affect 10-20% of students in the US. Untreated students fall behind their typically developing peers, leading to poor long-term outcomes. While instructional interventions can help, they are most effective when implemen...
Leveraging multi-tier healthcare facility network simulations for capacity planning in a pandemic [0.03%]
利用多级医疗设施网络模拟进行大流行容量规划
Mohd Shoaib,Navonil Mustafee,Karan Madan et al.
Mohd Shoaib et al.
The COVID-19 pandemic has placed severe demands on healthcare facilities across the world, and in several countries, makeshift COVID-19 centres have been operationalised to handle patient overflow. In developing countries such as India, the...
Vincenzo Alfano,Salvatore Ercolano
Vincenzo Alfano
Among non-pharmaceutical measures for fighting the COVID-19 pandemic, one of the most important is the implementation of lockdowns. The cost and effectiveness of this policy remains a much-debated topic in economics. In this study we invest...
Evaluation of the treatment options for COVID-19 patients using generalized hesitant fuzzy- multi criteria decision making techniques [0.03%]
基于广义犹豫模糊的多准则决策技术评估COVID-19患者的治疗方案
Sandip Nandi,Giuseppe Granata,Subrata Jana et al.
Sandip Nandi et al.
The breakout of the pandemic COVID-19 has affected numerous countries and territories worldwide. As COVID-19 specific medicines yet to be invented, at present the treatment is case specific, hence identification and evaluation of different ...
Risk management in humanitarian supply chain based on FMEA and grey relational analysis [0.03%]
基于FMEA和灰关联度分析的人道主义供应链风险管理方法研究
Glenda Minguito,Jenith Banluta
Glenda Minguito
The COVID-19 pandemic has disrupted the humanitarian supply chain management (HSCM) necessary for delivering emergency items during the disaster. The combined effects of climate change and the pandemic uncover the vulnerabilities of humanit...
Using MCDA to assist an Intermunicipal community develop a resilience strategy in face of the pandemic caused by the SARS-CoV-2 [0.03%]
使用多准则决策分析协助地方社区开发应对由SARS-CoV-2引起的大流行的韧性策略
Luís S Gomes,Sérgio P Santos,Luís Serra Coelho et al.
Luís S Gomes et al.
The topic of regional economic resilience has been the subject of intense debate in the academic and political fields over the past decade and gained a new sense of urgency because of the pandemic caused by the SARS-CoV-2 virus as territori...
Rogelio Ochoa-Barragán,Aurora Del Carmen Munguía-López,José María Ponce-Ortega
Rogelio Ochoa-Barragán
This work presents a multi-objective optimization strategy for fair vaccine allocation through different fairness schemes. The proposed approach considers a diverse series of parameters related to different public health data and social beh...
Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19 [0.03%]
不确定性下的疫苗和制药产业集群供应链规划——以COVID-19为例
Farid Kochakkashani,Vahid Kayvanfar,Alireza Haji
Farid Kochakkashani
As an abrupt epidemic occurs, healthcare systems are shocked by the surge in the number of susceptible patients' demands, and decision-makers mostly rely on their frame of reference for urgent decision-making. Many reports have declared the...
Analyzing the emotional impact of COVID-19 with Twitter data: Lessons from a B-VAR analysis on Italy [0.03%]
基于意大利的BVAR分析：利用Twitter数据评估COVID-19的情感影响
Sabina De Rosis,Milena Lopreite,Michelangelo Puliga et al.
Sabina De Rosis et al.
The novel coronavirus 2019 revolutionized the way of living and the communication of people making social media a popular tool to express concerns and perceptions. Starting from this context we built an original database based on the Twitte...
Predicting and explaining absenteeism risk in hospital patients before and during COVID-19 [0.03%]
新冠肺炎疫情前后预测和解释住院患者的缺勤风险
Ana Borges,Mariana Carvalho,Miguel Maia et al.
Ana Borges et al.
In order to address one of the most challenging problems in hospital management - patients' absenteeism without prior notice - this study analyses the risk factors associated with this event. To this end, through real data from a hospital l...