-
- Nathaniel M Lewis, Victoria T Chu, Dongni Ye, Erin E Conners, Radhika Gharpure, Rebecca L Laws, Hannah E Reses, Brandi D Freeman, Mark Fajans, Elizabeth M Rabold, Patrick Dawson, Sean Buono, Sherry Yin, Daniel Owusu, Ashutosh Wadhwa, Mary Pomeroy, Anna Yousaf, Eric Pevzner, Henry Njuguna, Katherine A Battey, Cuc H Tran, Victoria L Fields, Phillip Salvatore, Michelle O'Hegarty, Jeni Vuong, Rebecca Chancey, Christopher Gregory, Michelle Banks, Jared R Rispens, Elizabeth Dietrich, Perrine Marcenac, Almea M Matanock, Lindsey Duca, Allison Binder, Garrett Fox, Sandra Lester, Lisa Mills, Susan I Gerber, John Watson, Amy Schumacher, Lucia Pawloski, Natalie J Thornburg, Aron J Hall, Tair Kiphibane, Sarah Willardson, Kim Christensen, Lindsey Page, Sanjib Bhattacharyya, Trivikram Dasu, Ann Christiansen, Ian W Pray, Ryan P Westergaard, Angela C Dunn, Jacqueline E Tate, Scott A Nabity, and Hannah L Kirking.
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
- Clin. Infect. Dis. 2021 Oct 5; 73 (7): 1805-1813.
BackgroundThe evidence base for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is nascent. We sought to characterize SARS-CoV-2 transmission within US households and estimate the household secondary infection rate (SIR) to inform strategies to reduce transmission.MethodsWe recruited patients with laboratory-confirmed SARS-CoV-2 infection and their household contacts in Utah and Wisconsin during 22 March 2020-25 April 2020. We interviewed patients and all household contacts to obtain demographics and medical histories. At the initial household visit, 14 days later, and when a household contact became newly symptomatic, we collected respiratory swabs from patients and household contacts for testing by SARS-CoV-2 real-time reverse-transcription polymerase chain reaction (rRT-PCR) and sera for SARS-CoV-2 antibodies testing by enzyme-linked immunosorbent assay (ELISA). We estimated SIR and odds ratios (ORs) to assess risk factors for secondary infection, defined by a positive rRT-PCR or ELISA test.ResultsThirty-two (55%) of 58 households secondary infection among household contacts. The SIR was 29% (n = 55/188; 95% confidence interval [CI], 23%-36%) overall, 42% among children (aged <18 years) of the COVID-19 patient and 33% among spouses/partners. Household contacts to COVID-19 patients with immunocompromised conditions and household contacts who themselves had diabetes mellitus had increased odds of infection with ORs 15.9 (95% CI, 2.4-106.9) and 7.1 (95% CI: 1.2-42.5), respectively.ConclusionsWe found substantial evidence of secondary infections among household contacts. People with COVID-19, particularly those with immunocompromising conditions or those with household contacts with diabetes, should take care to promptly self-isolate to prevent household transmission.Published by Oxford University Press for the Infectious Diseases Society of America 2020.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.