Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
[Preprint]. 2020 Sep 10:2020.09.07.20188813.
doi: 10.1101/2020.09.07.20188813.

Tracking Smell Loss to Identify Healthcare Workers with SARS-CoV-2 Infection

Affiliations

Tracking Smell Loss to Identify Healthcare Workers with SARS-CoV-2 Infection

Julian J Weiss et al. medRxiv. .

Update in

  • Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection.
    Weiss JJ, Attuquayefio TN, White EB, Li F, Herz RS, White TL, Campbell M, Geng B, Datta R, Wyllie AL, Grubaugh ND, Casanovas-Massana A, Muenker MC, Moore AJ, Handoko R, Iwasaki A, Martinello RA, Ko AI, Small DM, Farhadian SF; Yale IMPACT Research Team. Weiss JJ, et al. PLoS One. 2021 Mar 3;16(3):e0248025. doi: 10.1371/journal.pone.0248025. eCollection 2021. PLoS One. 2021. PMID: 33657167 Free PMC article.

Abstract

Background: Healthcare workers (HCW) treating COVID-19 patients are at high risk for infection and may also spread infection through their contact with vulnerable patients. Smell loss has been associated with SARS-CoV-2 infection, but it is unknown whether monitoring for smell loss can be used to identify asymptomatic infection among high risk individuals, like HCW.

Methods: We performed a prospective cohort study, tracking 473 HCW across three months to determine if smell loss could predict SARS-CoV-2 infection in this high-risk group. HCW subjects completed a longitudinal, novel behavioral at-home assessment of smell function with household items, as well as detailed symptom surveys that included a parosmia screening questionnaire, and RT-qPCR testing to identify SARS-CoV-2 infection.

Results: SARS-CoV-2 was identified in 17 (3.6%) of 473 HCW. Among the 17 infected HCW, 53% reported smell loss, and were more likely to report smell loss than COVID-negative HCW on both the at-home assessment and the screening questionnaire (P < .01). 67% reported smell loss prior to having a positive SARS-CoV-2 test, and smell loss was reported a median of two days before testing positive. Neurological symptoms were reported more frequently among COVID-positive HCW who reported smell loss (P < .01).

Conclusions: In this prospective study of HCW, self-reported changes in smell using two different measures were predictive of COVID-19 infection. Smell loss frequently preceded a positive test and was associated with neurological symptoms.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest: All authors declare no competing interests.

Figures

Figure 1:
Figure 1:
Flow diagram of participants and reported changes in smell by COVID-19 status. Abbreviations: HCW, healthcare workers; IMPACT, Implementing Medical and Public Health Action against Coronavirus (CT).
Figure 2:
Figure 2:
Comparison of the proportions of self-reported severity of smell loss on the Yale Jiffy by COVID-positive and COVID-negative healthcare workers. P value is a Fisher’s exact test of independence.
Figure 3:
Figure 3:
Chronology of smell changes among COVID-positive healthcare workers relative to day of positive test. Red boxes indicate smell change was reported via either the symptom survey or Yale Jiffy. Green boxes indicate no smell change reported. Solid gray boxes indicate there was no Yale Jiffy or symptom survey submitted for that day. Boxes with a “YJ” specifically indicate a Yale Jiffy response.

References

    1. Bai Y, Yao L, Wei T, et al. Presumed Asymptomatic Carrier Transmission of COVID-19. JAMA 2020; 323(14): 1406–7. - PMC - PubMed
    1. He X, Lau EHY, Wu P, et al. Temporal dynamics in viral shedding and transmissibility of COVID-19. Nature Medicine 2020; 26(5): 672–5. - PubMed
    1. Furukawa N, Brooks J, Sobel J. Evidence Supporting Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 While Presymptomatic or Asymptomatic. Emerging Infectious Disease journal 2020; 26(7). - PMC - PubMed
    1. Furuse Y, Sando E, Tsuchiya N, et al. Clusters of Coronavirus Disease in Communities, Japan, January–April 2020. Emerging Infectious Disease journal 2020; 26(9): 2176. - PMC - PubMed
    1. Du Z, Xu X, Wu Y, Wang L, Cowling B, Meyers LA. Serial Interval of COVID-19 among Publicly Reported Confirmed Cases. Emerging Infectious Disease journal 2020; 26(6): 1341. - PMC - PubMed

Publication types