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

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 preva...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314115/
https://www.ncbi.nlm.nih.gov/pubmed/32441744
http://dx.doi.org/10.1093/chemse/bjaa034
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author 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
author_facet 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
author_sort Iravani, Behzad
collection PubMed
description 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.
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spelling pubmed-73141152020-06-25 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 Chem Senses Original Article 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. Oxford University Press 2020-05-22 /pmc/articles/PMC7314115/ /pubmed/32441744 http://dx.doi.org/10.1093/chemse/bjaa034 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
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
Relationship Between Odor Intensity Estimates and COVID-19 Prevalence Prediction in a Swedish Population
title Relationship Between Odor Intensity Estimates and COVID-19 Prevalence Prediction in a Swedish Population
title_full Relationship Between Odor Intensity Estimates and COVID-19 Prevalence Prediction in a Swedish Population
title_fullStr Relationship Between Odor Intensity Estimates and COVID-19 Prevalence Prediction in a Swedish Population
title_full_unstemmed Relationship Between Odor Intensity Estimates and COVID-19 Prevalence Prediction in a Swedish Population
title_short Relationship Between Odor Intensity Estimates and COVID-19 Prevalence Prediction in a Swedish Population
title_sort relationship between odor intensity estimates and covid-19 prevalence prediction in a swedish population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314115/
https://www.ncbi.nlm.nih.gov/pubmed/32441744
http://dx.doi.org/10.1093/chemse/bjaa034
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