Relationship Between Odor Intensity Estimates and COVID-19 Prevalence Prediction in a Swedish Population

Autor: Zachary F. Mainen, Gernot Ernst, Eva Mishor, Franklin Mariño-Sánchez, Shiri Karagach, Monique A. M. Smeets, Thomas Hummel, Danielle Honigstein, Aharon Ravia, Johan N. Lundström, Moustafa Bensafi, Sagit Shushan, Camille Ferdenzi, Artin Arshamian, Caterina Dinnella, Behzad Iravani, Kobi Snitz, Kazushige Touhara, Noam Sobel, Sara Spinelli, Ofer Perl, Masako Okamoto, Yehudah Roth, Reut Weissgross, Erminio Monteleone
Přispěvatelé: Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Leerstoel Smeets, Social-cognitive and interpersonal determinants of behaviour
Jazyk: angličtina
Rok vydání: 2020
Předmět:
2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19)
Physiology
Anosmia
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Population
coronavirus
Population prevalence
population prevalence
Disease
Olfactory dysfunction
AcademicSubjects/SCI01180
olfactory dysfunction
03 medical and health sciences
Behavioral Neuroscience
0302 clinical medicine
Swedish population
Physiology (medical)
Medicine
030212 general & internal medicine
education
education.field_of_study
[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior
business.industry
COVID-19
Sensory Systems
3. Good health
Large sample
Coronavirus
Odor
Original Article
Coronavirus
anosmia
olfactory dysfunction
COVID-19
population prevalence
business
anosmia
030217 neurology & neurosurgery
Demography
Zdroj: Chemical Senses
Chemical Senses, Oxford University Press (OUP), 2020, 45 (6), pp.449-456. ⟨10.1093/chemse/bjaa034⟩
Chemical Senses, 45(6), 449. Oxford University Press
ISSN: 1464-3553
0379-864X
DOI: 10.1093/chemse/bjaa034
Popis: In response to the coronavirus disease 2019 (COVID-19) pandemic, countries have implemented various strategies to reduce and slow the spread of the disease in the general population. For countries that have implemented restrictions on its population in a stepwise manner, monitoring of COVID-19 prevalence is of importance to guide the decision on when to impose new, or when to abolish old, restrictions. We are here determining whether measures of odor intensity in a large sample can serve as one such measure. Online measures of how intense common household odors are perceived and symptoms of COVID-19 were collected from 2440 Swedes. Average odor intensity ratings were then compared to predicted COVID-19 population prevalence over time in the Swedish population and were found to closely track each other (r = −0.83). Moreover, we found that there was a large difference in rated intensity between individuals with and without COVID-19 symptoms and the number of symptoms was related to odor intensity ratings. Finally, we found that individuals progressing from reporting no symptoms to subsequently reporting COVID-19 symptoms demonstrated a large drop in olfactory performance. These data suggest that measures of odor intensity, if obtained in a large and representative sample, can be used as an indicator of COVID-19 disease in the general population. Importantly, this simple measure could easily be implemented in countries without widespread access to COVID-19 testing or implemented as a fast early response before widespread testing can be facilitated.
Databáze: OpenAIRE
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