Impact of Different Transportation Modes on the Transmission of Covid-19
Correlation and Strategies from a Case Study in Wuhan, China
Dados Bibliográficos
| ID | 15468359 |
|---|---|
| Autores | Danwen Bao (0000-0001-5302-0652, Nanjing University of Aeronautics and Astronautics), Liping Yin (0000-0002-4254-5717, Nanjing University of Aeronautics and Astronautics, autor correspondente), Shijia Tian (0000-0002-0149-6939, Nanjing University of Aeronautics and Astronautics), Jialin Lv (Nanjing University of Aeronautics and Astronautics), Yanjun Wang (0000-0002-8178-9925, Nanjing University of Aeronautics and Astronautics), Jian Wang (0000-0001-6128-1254, Southeast University), Chaohao Liao (Civil Aviation Administration of China) |
| Ano | 2022 |
| Volume | 19 |
| Fascículo | 23 |
| Páginas | 15705-15705 |
| Data de publicação | 2022-11-25 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editora | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph192315705 |
| PMID | 36497781 |
| OpenAlex | W4310607710 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 19 |
Transportation is the main carrier of population movement, so it is significant to clarify how different transportation modes influence epidemic transmission. This paper verified the relationship between different levels of facilities and epidemic transmission by use of the K-means clustering method and the Mann-Whitney U test. Next, quantile regression and negative binomial regression were adopted to evaluate the relationship between transportation modes and transmission patterns. Finally, this paper proposed a control efficiency indicator to assess the differentiated strategies. The results indicated that the epidemic appeared 2-3 days earlier in cities with strong hubs, and the diagnoses were nearly fourfold than in other cities. In addition, air and road transportation were strongly associated with transmission speed, while railway and road transportation were more correlated with severity. A prevention strategy that considered transportation facility levels resulted in a reduction of the diagnoses of about 6%, for the same cost. The results of different strategies may provide valuable insights for cities to develop more efficient control measures and an orderly restoration of public transportation during the steady phase of the epidemic
2019-20 coronavirus outbreak · China · Coronavirus disease 2019 (COVID-19 · Correlation · Disease · Environmental health · Geography · Outbreak · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Telecommunications · Transmission (telecommunications · Computer Science · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Data-Driven Disease Surveillance · Mathematics · Medicine · Internal Medicine · Virology
| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 0,67 |
| Intervalo de citações | 2023 - 2024 (2) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |