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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7314115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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