Discovering optimal strategies for mitigating Covid-19 spread using machine learning
Experience from Asia
Bibliographic Data
| ID | 21231354 |
|---|---|
| Authors | Yue Pan (0000-0001-5674-5958, Shanghai Jiao Tong University), Limao Zhang (0000-0002-7245-3741, Nanyang Technological University, corresponding author), Zhenzhen Yan (0000-0001-7370-9959, Nanyang Technological University), May O Lwin (0000-0003-1832-8242, Nanyang Technological University), Miroslaw J Skibniewski (0000-0002-7102-753X, Chaoyang University of Technology) |
| Year | 2021 |
| Volume | 75 |
| Pages | 103254 |
| Publication date | 2021-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2021.103254 |
| PMID | 34414067 |
| OpenAlex | W3195384471 |
| Language | EN |
| Citations received | 4 |
| References cited | 35 |
Disease · Economics · Environmental economics · Geography · Machine learning · Multi-objective optimization · Operations research · Random forest · Computer Science · COVID-19 diagnosis using AI · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Engineering · Medicine
Exploring the spatio-temporal evolution of economic resilience in Chinese cities during the Covid-19 crisis
A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for Covid-19 impact prevention in the U.S. counties
Discovering spatial-temporal patterns via complex networks in investigating Covid-19 pandemic in the United States
Data-driven multiscale modelling and analysis of Covid-19 spatiotemporal evolution using explainable AI
Correlation between climate indicators and Covid-19 pandemic in New York, USA
A fast and elitist multiobjective genetic algorithm
From local explanations to global understanding with explainable AI for trees
Random Forests
The efficacy of social distance and ventilation effectiveness in preventing Covid-19 transmission
Living environment matters
Examining the association between socio-demographic composition and Covid-19 fatalities in the European region using spatial regression approach
Exploring spatiotemporal effects of the driving factors on Covid-19 incidences in the contiguous United States
Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices
The role of built and social environmental factors in Covid-19 transmission
Covid-19 cases prediction by using hybrid machine learning and beetle antennae search approach
Sociodemographic determinants of Covid-19 incidence rates in Oman
A global panel database of pandemic policies (Oxford Covid-19 Government Response Tracker)
Ranking the effectiveness of worldwide Covid-19 government interventions
| Unique citing works | 4 |
|---|---|
| Citations per year | 1 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |