Microfounded tax revenue forecast model with heterogeneous population and genetic algorithm approach
The ability of governments to accurately forecast tax revenues is essential for the successful
implementation of fiscal programs. However, forecasting state government tax revenues …
implementation of fiscal programs. However, forecasting state government tax revenues …
Intervention policy influence on the effect of epidemiological crisis on industry-level production through input–output networks
During a global epidemiological crisis, lockdowns and border closures substantially disrupt
international supply chains, underscoring the importance of choosing an intervention policy …
international supply chains, underscoring the importance of choosing an intervention policy …
Multi-species prey–predator dynamics during a multi-strain pandemic
Small and large scale pandemics are a natural phenomenon repeatably appearing
throughout history, causing ecological and biological shifts in ecosystems and a wide range …
throughout history, causing ecological and biological shifts in ecosystems and a wide range …
[HTML][HTML] Individual variation affects outbreak magnitude and predictability in multi-pathogen model of pigeons visiting dairy farms
Zoonotic disease transmission between animals and humans is a growing risk, and the
agricultural context acts as a likely point of transition, with an important role of individual …
agricultural context acts as a likely point of transition, with an important role of individual …
Effects of COVID-19-targeted non-pharmaceutical interventions on pediatric emergency department use: a quasi-experimental study interrupted time-series analysis in …
Background The use of Non-Pharmaceutical Interventions (NPIs) during the COVID-19
pandemic is debated. Understanding the consequences these measures may have on …
pandemic is debated. Understanding the consequences these measures may have on …
Effect of infection hubs in district-based network epidemic spread model
A network model of epidemic spread accounting for inhomogeneous population district
division is investigated. Motivated by the COVID-19 pandemic, we analyze the effects of …
division is investigated. Motivated by the COVID-19 pandemic, we analyze the effects of …
Distribution enhancement for imbalanced data with generative adversarial network
Y Chen, W Pedrycz, T Pan, J Wang… - Advanced Theory and …, 2024 - Wiley Online Library
Tackling imbalanced problems encountered in real‐world applications poses a challenge at
present. Oversampling is a widely useful method for imbalanced tabular data. However …
present. Oversampling is a widely useful method for imbalanced tabular data. However …
Mathematical model of dating apps' influence on sexually transmitted diseases spread
T Lazebnik - Social Network Analysis and Mining, 2024 - Springer
Sexually transmitted diseases (STDs) are a group of pathogens infecting new hosts through
sexual interactions. Due to its social and economic burden, multiple models have been …
sexual interactions. Due to its social and economic burden, multiple models have been …
On strategies to help reduce contamination on public transit: a multilayer network approach
In times of a global pandemic, public transit can be crucial to spreading viruses, especially in
big cities. Many works have shown that the human infection risk could be extremely high due …
big cities. Many works have shown that the human infection risk could be extremely high due …
Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Healthcare System Administration using Deep Reinforcement Learning
A Shuchami, T Lazebnik - arxiv preprint arxiv:2412.14039, 2024 - arxiv.org
Large-scale crises, including wars and pandemics, have repeatedly shaped human history,
and their simultaneous occurrence presents profound challenges to societies …
and their simultaneous occurrence presents profound challenges to societies …