An olfactory self-test effectively screens for COVID-19

International audienceAbstract Background Key to curtailing the COVID-19 pandemic are wide-scale screening strategies. An ideal screen is one that would not rely on transporting, distributing, and collecting physical specimens. Given the olfactory impairment associated with COVID-19, we developed a perceptual measure of olfaction that relies on smelling household odorants and rating them online. Methods Each participant was instructed to select 5 household items, and rate their perceived odor pleasantness and intensity using an online visual analogue scale. We used this data to assign an olfactory perceptual fingerprint, a value that reflects the perceived difference between odorants. We tested the performance of this real-time tool in a total of 13,484 participants (462 COVID-19 positive) from 134 countries who provided 178,820 perceptual ratings of 60 different household odorants. Results We observe that olfactory ratings are indicative of COVID-19 status in a country, significantly correlating with national infection rates over time. More importantly, we observe indicative power at the individual level (79% sensitivity and 87% specificity). Critically, this olfactory screen remains effective in participants with COVID-19 but without symptoms, and in participants with symptoms but without COVID-19. Conclusions The current odorant-based olfactory screen adds a component to online symptom-checkers, to potentially provide an added first line of defense that can help fight disease progression at the population level. The data derived from this tool may allow better understanding of the link between COVID-19 and olfaction

An olfactory self-test effectively screens for COVID-19

BACKGROUND: Key to curtailing the COVID-19 pandemic are wide-scale screening strategies. An ideal screen is one that would not rely on transporting, distributing, and collecting physical specimens. Given the olfactory impairment associated with COVID-19, we developed a perceptual measure of olfaction that relies on smelling household odorants and rating them online. METHODS: Each participant was instructed to select 5 household items, and rate their perceived odor pleasantness and intensity using an online visual analogue scale. We used this data to assign an olfactory perceptual fingerprint, a value that reflects the perceived difference between odorants. We tested the performance of this real-time tool in a total of 13,484 participants (462 COVID-19 positive) from 134 countries who provided 178,820 perceptual ratings of 60 different household odorants. RESULTS: We observe that olfactory ratings are indicative of COVID-19 status in a country, significantly correlating with national infection rates over time. More importantly, we observe indicative power at the individual level (79% sensitivity and 87% specificity). Critically, this olfactory screen remains effective in participants with COVID-19 but without symptoms, and in participants with symptoms but without COVID-19. CONCLUSIONS: The current odorant-based olfactory screen adds a component to online symptom-checkers, to potentially provide an added first line of defense that can help fight disease progression at the population level. The data derived from this tool may allow better understanding of the link between COVID-19 and olfaction

Central Processing of the Chemical Senses: An Overview

Our knowledge regarding the neural processing of the three chemical senses has been considerably lagging behind that of our other senses. It is only during the last 25 years that significant advances have been made in our understanding of where in the human brain odors, tastants, and trigeminal stimuli are processed. Here, we provide an overview of the current knowledge of how the human brain processes chemical stimuli based on findings in neuroimaging studies using positron emission tomography and functional magnetic resonance imaging. Additionally, we provide new insights from recent meta-analyses, on the basis of all published neuroimaging studies of the chemical senses, of where the chemical senses converge in the brai

Multisensory Enhancement of Odor Object Processing in Primary Olfactory Cortex

Identification of an object based on its odor alone is inherently difficult, but becomes easier when other senses provide supporting cues. This suggests that crossmodal sensory input facilitates neural processing of olfactory object information; however, direct evidence is still lacking. Here, we tested the effect of multisensory stimulation on information processing in the human posterior piriform cortex (PPC), a region linked to olfactory object encoding. Participants were exposed to familiar objects in the form of uni-, bi-, and trimodal combinations of odors, videos, and sounds. We hypothesized that the PPC would respond to non-olfactory object information, and that activity would increase linearly with the number of senses providing relevant object information. As predicted, visual object information activated the PPC and activity increased linearly with the number of relevant sensory channels. The crossmodal response pattern thus indicates that the PPC does not exclusively respond to olfactory information, but also to crossmodal object information important for olfactory processing. The continuous activity increase suggests that the PPC further acts as a multisensory binding site where pertinent input from multiple senses results in an increased neural response to the odor object. This potentially represents a neural mechanism for the well-known behavioral improvement present in odor object recognition during concurrent crossmodal sensory stimulation

The Environmental Impact of Green Consumption and Sufficiency Lifestyles Scenarios in Europe: Connecting Local Sustainability Visions to Global Consequences

The sustainability transformation calls for policies that consider the global consequences of local lifestyles. We used stakeholders' visions of sustainable lifestyles across Europe to build 19 scenarios of sufficiency (net reductions) and 17 of green consumption (shift in consumption patterns). We applied Environmentally Extended Multi-Regional Input-Output analysis to model scenarios by assuming widespread adoption of the proposed lifestyles changes. Finally, we estimated the domestic and foreign implications for land, water, carbon and human toxicity potential. We distinguish the options with most potential from those that are seemingly fruitless or present backfire risks. While our method allows for testing a large number scenarios under a consistent framework, further work is needed to add robustness to the scenarios. However, we do find a range of indicative results that have strong potential to contribute to mitigation efforts. Services: We find that a local and sharing service economy has a maximum reduction potential of 18% of the European carbon footprint (CF). Clothing & Appliances: Sharing and extending lifetimes of clothes and devices could diminish CF by approximately 3%. Transport: Reducing motorized transport by remote work and active travel could mitigate between 9 and 26% of CF. Food: Vegan diets could spare 4% of the land and reduce up to 14% of CF. Bio-economy: Switching to biomaterials and bioenergy tend to reduce carbon and toxic emissions at the risk of increasing water and land use. Housing: Passive housing and decentralized renewable energy reduces carbon emissions up to 5 and 14%, respectively. We characterize the sensitivity of our results by modelling income rebound effects and confirm the importance of deterring expenditure in resource intensive goods.Energy & Industr