Food allergy: What are people looking for? An infodemiology study
Notice bibliographique
Résumé
Food allergy (FA), an immunoglobulin E (IgE) reaction, is rising steadily over time.1 FA is present in 10% of the population, varying according to region.2 Google's search engine has become a significant source of medical information; however, this information varies in quality. Google Trends (GTr) is a free online service that gives users access to current and historical data on Google searches from 2004 up to the present.3 This study aims to assess the public interest and information-seeking behavior regarding food allergies over a specified period. We conducted several searches on GTr (http://trends.google.com) on April 1st, 2023. The data was downloaded and compiled at once across 10 countries from January 1, 2012, to December 31, 2022. Based on a literature review indicating high prevalence in various countries three different types of food were selected as the primary allergens.4 These allergens were used as search topics in GTr, and include: “milk allergy,” “peanut allergy,” and “shellfish allergy.” The countries were selected using GTr performing a search for “Food allergy” as a topic with the "worldwide" category, we analyzed the countries with a relative search volume (RSV) score higher than 50. Ten countries were included: Australia, Canada, Finland, Hungary, Ireland, Netherlands, New Zealand, Philippines, Singapore, and the USA. Ten different searches were performed, one search for each of the 10 countries. Each search containing the three allergens, and done under the category “Health” in GTr. RSV is a value that expresses the relation between a specific search concerning the overall searches on Google at a specific time among other modifiable variables. RSV ranges between 100 and 0 in descending order, the former being a high popularity and the latter a low one. For this study, search volume trends and interest over time were developed using Statistical Package for Social Science (version 21.0; SPSS). Over the years, there has been a noticeable growth in people's interest in searching about “food allergy” as a topic of search, as evidenced by increased Google search trends from 2012 to 2022 in the 10 countries examined. Although the interest in peanut allergy has been relatively low in the last decade, in the last 2 years there has been a prominent increase in searches in Australia, the USA, Finland, the Netherlands, and New Zealand. On the other hand, there was a decreasing interest in Canada, Hungary, Ireland, and the Philippines. Milk allergy was the most searched topic in 6 out of 10 countries of interest, with a sharp spike since 2021 in Canada, the USA, and Australia. In contrast, “shellfish allergy” showed the lowest RSV, being only searched mainly in the Philippines and Singapore (Figure 1). Interest over time of different allergens from 2012 to 2022. The related queries with the most interest were different terms and definitions for allergy, such as “allergy,” “allergies,” “food allergy,” and “peanut allergy.” Among the most searched signs and symptoms were “rash,” “eczema,” “urticaria,” and “anaphylaxis.” The country with the highest searches for signs and symptoms was the US, and the allergen was shellfish. There was a high interest in searching for some related diseases to milk allergy, including “lactose intolerance,” “dairy intolerance” and “celiac disease.” The countries that most sought diagnostic methods were Ireland and Hungary, with queries such as “food allergy test” and “food intolerance testing.” “Baby” and “toddler” were the age-related searches, the first being included in the top five searched entities in eight out of 10 countries. “Epinephrine,” “immunoglobulin,” “cetirizine,” and “antihistamine” were identified within the therapeutic queries with the highest RSV in the Philippines (Table 1). Google is a tool for gathering information.3 With the birth of GTr, researchers in the field of infodemiology have been using this tool to analyze the population's behavior. In the medical field, some examples are forecasting epidemiological traits of allergic rhinitis, establishing correlation between asthma hospitalizations and common cold, revealing spikes of interest in nasal polyps, among many others.5-7 The spike of interest in milk allergy in 2021 for 6 out of the 10 selected countries might be related to the findings of a study in the UK8 which showed that cow's milk allergy may be the root of three-quarters of newborns' two or more allergic symptoms at some point in the first year of life. Another possible reason for the trending phenomenon may be the hospitalizations and deaths of infants in the USA because of contaminated Abott baby formula products in May of 2022.9 The worldwide prevalence of shellfish allergy ranges from 0.2% to 0.6%, but this number is much higher in the Asia-Pacific region.10 Within this area, teenagers in the Philippines and Singapore report the highest prevalence of this allergy, with 5.12% and 5.13% respectively.10 This data correlates with our findings. Food allergy, particularly IgE-mediated, can present with clinical manifestations in different systems.11 “Hive,” “rash,” “eczema,” and “anaphylaxis” were the most searched clinical signs in our study. This shows that users have a concern for cutaneous manifestations and life-threatening ones. The current management of FA relies on the avoidance of allergens, preparedness to promptly address allergic reactions, and interventions to alleviate symptoms, including the administration of antihistamines and immunotherapy.11 We found a considerable level of interest in the 10 chosen countries regarding food alternatives such as “almond milk” and “soy milk,” as well as “epinephrine” due to its critical role as the primary therapeutic intervention for anaphylaxis, an acute and potentially life-threatening allergic reaction.12 The findings of this study show how GTr is a powerful tool that can be used to determine the user's interest in FA and how this interest can fluctuate. This study is the first of its kind, analyzing data from what people search in the web regarding FA. Similarly to other infodemiology studies, by incorporating real-world data in a nationwide perspective, its findings may be useful for policymakers or guideline developers. Making public health information interesting and engaging, is essential for effective communication and overall success of health initiatives. Karla Robles-Velasco: Conceptualization (equal); data curation (equal); formal analysis (equal); funding acquisition (equal); investigation (equal); methodology (equal); project administration (equal); resources (equal); supervision (equal); validation (equal); visualization (equal); writing – original draft (equal); writing – review & editing (equal). Matias Panchana-Lascano: Conceptualization (equal); data curation (equal); formal analysis (equal); investigation (equal); methodology (equal); project administration (equal); resources (equal); software (equal); writing – original draft (equal); writing – review & editing (equal). Flavio Veintemilla-Burgos: Conceptualization (equal); data curation (equal); formal analysis (equal); investigation (equal); methodology (equal); project administration (equal); writing – original draft (equal); writing – review & editing (equal). Romina Hinostroza: Conceptualization (equal); data curation (equal); formal analysis (equal); investigation (equal); methodology (equal); visualization (equal); writing – original draft (equal); writing – review & editing (equal). Jonathan A. Bernstein: Conceptualization (equal); data curation (equal); formal analysis (equal); investigation (equal); methodology (equal); project administration (equal); validation (equal); visualization (equal); writing – original draft (equal); writing – review & editing (equal). Ivan Cherrez-Ojeda: Conceptualization (equal); data curation (equal); formal analysis (equal); funding acquisition (equal); investigation (equal); methodology (equal); project administration (equal); resources (equal); software (equal); supervision (equal); validation (equal); visualization (equal); writing – original draft (equal); writing – review & editing (equal). This study was funded and supported by Universidad Espiritu Santo, Ecuador (Grant # 2023-MED-008). The sponsor had no role in the design of the study or in the collection, analysis, and interpretation of data. The authors declare that there is no conflict of interest regarding the publication of this paper. Universidad Espiritu Santo, Grant/Award Number:2023-MED-008 Data available on request from the authors.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».