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Cited by 491

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

2019 Novel Coronavirus (COVID-19) Pandemic: Built Environment Considerations To Reduce Transmission

Open access
Dietz, Leslie, Horve, Patrick F., Coil, David A., Fretz, Mark, Eisen, Jonathan A., Van Den Wymelenberg, Kevin·2020·mSystems

Abstract

With the rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that results in coronavirus disease 2019 (COVID-19), corporate entities, federal, state, county, and city governments, universities, school districts, places of worship, prisons, health care facilities, assisted living organizations, daycares, homeowners, and other building owners and occupants have an opportunity to reduce the potential for transmission through built environment (BE)-mediated pathways. Over the last decade, substantial research into the presence, abundance, diversity, function, and transmission of microbes in the BE has taken place and revealed common pathogen exchange pathways and mechanisms.

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Registry

Crossref · 10.1128/msystems.00245-20

Cites

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Metadata

Authors
Dietz, L., Horve, P. F., Coil, D. A., Fretz, M., Eisen, J. A., & Van Den Wymelenberg, K.
Venue
mSystems
Published
2020-04-28
Volume
5
Issue
2
ISSN
2379-5077 (ISSN-L)
OpenAlex
W3015036515
Cited by
491
References
11
FWCI
51.72
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: 2019 Novel Coronavirus (COVID-19) Pandemic: Built Environment Considerations To Reduce Transmission. https://app.cochat.ai/papers/10.1128/msystems.00245-20
The paper
Dietz, L., Horve, P. F., Coil, D. A., Fretz, M., Eisen, J. A., & Van Den Wymelenberg, K. (2020). 2019 Novel Coronavirus (COVID-19) Pandemic: Built Environment Considerations To Reduce Transmission. mSystems. https://doi.org/10.1128/msystems.00245-20

Data sources

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.