An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation

K Nixon, S Jindal, F Parker, NG Reich… - The Lancet Digital …, 2022 - thelancet.com
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …

Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm

S Sun, M Li, S Wang, C Zhang - Expert Systems with Applications, 2022 - Elsevier
Accurate tourism demand forecasting can provide effective guidance for government
management and tourism planning. Specifically, multi-step ahead tourism demand …

A review of big data analytics models for assessing non-pharmaceutical interventions for COVID-19 pandemic management

F Navazi, Y Yuan, N Archer - Journal of Management Analytics, 2024 - Taylor & Francis
Before vaccine development during the COVID-19 pandemic, Non-Pharmaceutical
Interventions (NPIs) were the only solutions to mitigate COVID-19 infections. Governments …

Assessing the causal impact of COVID-19 related policies on outbreak dynamics: A case study in the US

J Ma, Y Dong, Z Huang, D Mietchen, J Li - Proceedings of the ACM Web …, 2022 - dl.acm.org
Analyzing the causal impact of different policies in reducing the spread of COVID-19 is of
critical importance. The main challenge here is the existence of unobserved confounders …

Developing a used car pricing model applying Multivariate Adaptive regression Splines approach

J Sharma, SK Mitra - Expert Systems with Applications, 2024 - Elsevier
Although the used car market in India is enormous, with an annual 27.1 billion USD worth of
car sales, no academic study examining the pricing of Indian used cars is available. The …

Shutdown and compliance decisions in the face of a viral pandemic: A game between governments and citizens

P Agarwal, K Hunt, E Jose, J Zhuang - Decision Support Systems, 2024 - Elsevier
During viral pandemics, governments throughout the world face many complicated and
important decisions, such as whether and how to implement a shutdown. In response to …

Decision support tool to define the optimal pool testing strategy for SARS-CoV-2

B Barracosa, J Felício, A Carvalho, LM Moreira… - Decision Support …, 2023 - Elsevier
This work proposes a holistic decision support tool to be used by diverse stakeholders and
decision-makers, integrating experimental data. Considering the characteristics of each …

[HTML][HTML] On data-driven chance constraint learning for mixed-integer optimization problems

A Alcántara, C Ruiz - Applied Mathematical Modelling, 2023 - Elsevier
When dealing with optimization problems, decision-makers often face high levels of
uncertainty associated with partial information, unknown parameters, or complex …

The most places at risk surrounding the COVID-19 treatment hospitals in an urban environment-case study: Tehran city

NN Samany, A Toomanian, A Maher, K Hanani, AR Zali - Land use policy, 2021 - Elsevier
Investigations on the spatial patterns of COVID-19 spreading indicate the possibility of the
virus transmission by moving infected people in an urban area. Hospitals are the most …

[HTML][HTML] Predicting economic resilience of territories in Italy during the COVID-19 first lockdown

F Pierri, F Scotti, G Bonaccorsi, A Flori… - Expert Systems with …, 2023 - Elsevier
This paper aims to predict the economic resilience to crises of territories based on local pre-
existing socioeconomic characteristics. Specifically, we consider the case of Italian …