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Cited by 551

The DOI matches its Crossref record.

Indirect Virus Transmission in Cluster of COVID-19 Cases, Wenzhou, China, 2020

Open access
Cai, Jing, Sun, Wenjie, Huang, Jianping, Gamber, Michelle, Wu, Jing, He, Guiqing·2020·Emerging Infectious Diseases
DOI 10.3201/eid2606.200412
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Abstract

To determine possible modes of virus transmission, we investigated a cluster of coronavirus disease cases associated with a shopping mall in Wenzhou, China. Data indicated that indirect transmission of the causative virus occurred, perhaps resulting from virus contamination of common objects, virus aerosolization in a confined space, or spread from asymptomatic infected persons.

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Metadata

Authors
Cai, J., Sun, W., Huang, J., Gamber, M., Wu, J., & He, G.
Venue
Emerging Infectious Diseases
Publisher
Centers for Disease Control and Prevention (CDC)
Published
2020-06
Volume
26
Issue
6
Pages
1343-1345
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
DOI
10.3201/eid2606.200412
OpenAlex
W3012431078
Cited by
551
References
0
FWCI
61.57
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Indirect Virus Transmission in Cluster of COVID-19 Cases, Wenzhou, China, 2020. https://app.cochat.ai/papers/10.3201/eid2606.200412
The paper
Cai, J., Sun, W., Huang, J., Gamber, M., Wu, J., & He, G. (2020). Indirect Virus Transmission in Cluster of COVID-19 Cases, Wenzhou, China, 2020. Emerging Infectious Diseases. https://doi.org/10.3201/eid2606.200412

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.