A Comparison of Infection Venues of Covid-19 Case Clusters in Northeast China
Dados Bibliográficos
| ID | 15511508 |
|---|---|
| Autores | Pengcheng Zhao (0000-0003-0024-6898, University of Hong Kong, autor correspondente), Nan Zhang (0000-0002-8032-275X, University of Hong Kong), Yuguo Li (0000-0002-2281-4529, University of Hong Kong) |
| Ano | 2020 |
| Volume | 17 |
| Fascículo | 11 |
| Páginas | 3955-3955 |
| Data de publicação | 2020-06-03 |
| 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/ijerph17113955 |
| PMID | 32503192 |
| OpenAlex | W3033023244 |
| Idioma | EN |
| Citações recebidas | 5 |
| Referências citadas | 39 |
The world has been suffering from the COVID-19 pandemic since late 2019. In this study, we compared various types of infection locations in which COVID-19 cases clustered, based on the data from three adjacent provinces in Northeast China. The collected data include all officially reported cases in this area until 8 March 2020. We explored the associations between the cases and the frequency of infection locations. The COVID-19 epidemic situation was worse in Heilongjiang Province than in Liaoning and Jilin Provinces. Most clustered cases occurred in individual families and/or between relatives. The transmission in public venues served as a hub for transmitting the disease to other families and results in new clusters. The public transport spread the infection over long distances by transporting infected individuals, and most infections did not seem to occur within vehicles. This field study shows the effect of indoor environments on SARS-CoV-2 transmission and our data may be useful in developing guidance for future disease prevention and control
2019-20 coronavirus outbreak · China · Coronavirus disease 2019 (COVID-19 · Disease · Disease control · Environmental health · Geography · Infectious disease (medical specialty · Outbreak · Pandemic · Pathology · Public health · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Socioeconomics · Telecommunications · Transmission (telecommunications · COVID-19 and Mental Health · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Medicine · Virology
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| Obras citantes distintas | 5 |
|---|---|
| Citações por ano | 0,83 |
| Intervalo de citações | 2020 - 2025 (6) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 5 |