In response to the 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 step-wise manner, monitoring of COVID-19 prevalence is of importance to guide 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 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 wide-spread testing can be facilitated.

Relationship between odor intensity estimates and COVID-19 prevalence prediction in a Swedish population / Iravani, Behzad; Arshamian, Artin; Ravia, Aharon; Mishor, Eva; Snitz, Kobi; Shushan, Sagit; Roth, Yehudah; Perl, Ofer; Honigstein, Danielle; Weissgross, Reut; Karagach, Shiri; Ernst, Gernot; Okamoto, Masako; Mainen, Zachary; Monteleone, Erminio; Dinnella, Caterina; Spinelli, Sara; Mariño-Sánchez, Franklin; Ferdenzi, Camille; Smeets, Monique; Touhara, Kazushige; Bensafi, Moustafa; Hummel, Thomas; Sobel, Noam; Lundström, Johan N;. - In: CHEMICAL SENSES. - ISSN 0379-864X. - ELETTRONICO. - bjaa034:(2020), pp. 0-0. [10.1093/chemse/bjaa034]

Relationship between odor intensity estimates and COVID-19 prevalence prediction in a Swedish population

Monteleone, Erminio;Dinnella, Caterina;Spinelli, Sara;
2020

Abstract

In response to the 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 step-wise manner, monitoring of COVID-19 prevalence is of importance to guide 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 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 wide-spread testing can be facilitated.
2020
bjaa034
0
0
Iravani, Behzad; Arshamian, Artin; Ravia, Aharon; Mishor, Eva; Snitz, Kobi; Shushan, Sagit; Roth, Yehudah; Perl, Ofer; Honigstein, Danielle; Weissgross, Reut; Karagach, Shiri; Ernst, Gernot; Okamoto, Masako; Mainen, Zachary; Monteleone, Erminio; Dinnella, Caterina; Spinelli, Sara; Mariño-Sánchez, Franklin; Ferdenzi, Camille; Smeets, Monique; Touhara, Kazushige; Bensafi, Moustafa; Hummel, Thomas; Sobel, Noam; Lundström, Johan N;
File in questo prodotto:
File Dimensione Formato  
bjaa034.pdf

Open Access dal 23/05/2021

Tipologia: Pdf editoriale (Version of record)
Licenza: Creative commons
Dimensione 2.24 MB
Formato Adobe PDF
2.24 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1194887
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 47
  • ???jsp.display-item.citation.isi??? 43
social impact