Factors associated with household transmission of SARS‐CoV‐2 omicron variant to health care workers: A retrospective cohort study Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1111/ijn.13195
Aim The aim of this study was to determine the risk factors for household transmission of the omicron variant of SARS‐CoV‐2. Background The household infection rate has been reported to be higher for the omicron variant than for non‐omicron variants of SARS‐CoV‐2. Determination of the risk factors for household transmission of the omicron variant is therefore important. Design A Retrospective Cohort Study was conducted. Methods When family members of health care workers (HCWs) were found to be infected with SARS‐CoV‐2, the HCWs had to receive two nucleic acid amplification tests for SARS‐CoV‐2: immediately after and 5 to 10 days after the onset of COVID‐19 in the family members. Risk factors of household transmission were analysed by comparing cases (HCWs infected with SARS‐CoV‐2) and controls (HCWs not infected with SARS‐CoV‐2) using multivariable analysis. Results Unvaccinated status (OR: 3.97), age of index cases (≤6 years) (OR: 1.94) and staying at home with index cases (OR: 10.18) were risk factors for household transmission. Conclusion If there is a strong desire to avoid household infection, family members infected with SARS‐CoV‐2 should live separately during the period of viral shedding.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/ijn.13195
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ijn.13195
- OA Status
- hybrid
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386154072
Raw OpenAlex JSON
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https://openalex.org/W4386154072Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/ijn.13195Digital Object Identifier
- Title
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Factors associated with household transmission of SARS‐CoV‐2 omicron variant to health care workers: A retrospective cohort studyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-24Full publication date if available
- Authors
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Keisuke Kagami, Reiko Oyamada, Tsubasa Watanabe, Sho Nakakubo, Takahiro Hayashi, Sumio Iwasaki, Tatsuya Fukumoto, Takayuki Usami, Kasumi Hayasaka, Shinichi Fujisawa, Chiaki Watanabe, Mutsumi Nishida, Takanori Teshima, Yusuke Niinuma, Isao Yokota, Yoh Takekuma, Mitsuru Sugawara, Nobuhisa IshiguroList of authors in order
- Landing page
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https://doi.org/10.1111/ijn.13195Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ijn.13195Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ijn.13195Direct OA link when available
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Medicine, Transmission (telecommunications), Retrospective cohort study, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Cohort, Coronavirus disease 2019 (COVID-19), Cohort study, Index case, Pediatrics, Disease, Internal medicine, Electrical engineering, Infectious disease (medical specialty), EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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14Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Results | 133 |
| abstract_inverted_index.factors | 12, 47, 110, 157 |
| abstract_inverted_index.members | 68, 173 |
| abstract_inverted_index.nucleic | 87 |
| abstract_inverted_index.omicron | 18, 35, 53 |
| abstract_inverted_index.receive | 85 |
| abstract_inverted_index.staying | 147 |
| abstract_inverted_index.variant | 19, 36, 54 |
| abstract_inverted_index.workers | 72 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.analysed | 115 |
| abstract_inverted_index.controls | 124 |
| abstract_inverted_index.infected | 78, 120, 127, 174 |
| abstract_inverted_index.members. | 108 |
| abstract_inverted_index.reported | 29 |
| abstract_inverted_index.variants | 40 |
| abstract_inverted_index.analysis. | 132 |
| abstract_inverted_index.comparing | 117 |
| abstract_inverted_index.determine | 9 |
| abstract_inverted_index.household | 14, 24, 49, 112, 159, 170 |
| abstract_inverted_index.infection | 25 |
| abstract_inverted_index.shedding. | 185 |
| abstract_inverted_index.therefore | 56 |
| abstract_inverted_index.Background | 22 |
| abstract_inverted_index.COVID‐19 | 104 |
| abstract_inverted_index.Conclusion | 161 |
| abstract_inverted_index.conducted. | 64 |
| abstract_inverted_index.important. | 57 |
| abstract_inverted_index.infection, | 171 |
| abstract_inverted_index.separately | 179 |
| abstract_inverted_index.immediately | 93 |
| abstract_inverted_index.Unvaccinated | 134 |
| abstract_inverted_index.transmission | 15, 50, 113 |
| abstract_inverted_index.Determination | 43 |
| abstract_inverted_index.Retrospective | 60 |
| abstract_inverted_index.amplification | 89 |
| abstract_inverted_index.multivariable | 131 |
| abstract_inverted_index.non‐omicron | 39 |
| abstract_inverted_index.transmission. | 160 |
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| abstract_inverted_index.SARS‐CoV‐2) | 122, 129 |
| abstract_inverted_index.SARS‐CoV‐2, | 80 |
| abstract_inverted_index.SARS‐CoV‐2. | 21, 42 |
| abstract_inverted_index.SARS‐CoV‐2: | 92 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5034431719 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 18 |
| corresponding_institution_ids | https://openalex.org/I4210141669 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.16620217 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |