Negative attitude towards wearing facemask during COVID-19 pandemic: A survey based on educational settings
Notice bibliographique
Résumé
Objectives of the Study: In recent studies, it was suggested that wearing facemask in public places is an effective way to break the chain of spreading coronavirus (COVID-19). Early in the pandemic, some studies evident that wearing mask is not compulsory for healthy individuals and it reserved for health workers and the person infected with COVID-19 only. These types of statement create confound into public and increase the prevalence of wearing facemask. Therefore, the present survey study has been designed to investigate the attitude of students towards wearing facemask during COVID-19 pandemic.Design of the Study: A Cross-sectional study design was adopted for the present studyMaterial and Methods: The sample consist of 1202 subjects from the Northern India, Haryana and Delhi NCR regions. The mean age of the subjects were 21.29 years (SD = 7.07, Range = 8 – 58 years) and 95% confidence interval for age was 21.29±0.40 margin of error for upper and lower bound. Data were collected between 15 March, 2021 to 12 April 2021 in general public settings (N=1206) using ‘Google Form’ an internet based self-report survey tool. Respondents completed a 12 items scale developed for assessing negative attitude toward wearing facemask. The present scale was derived from the study conducted by ‘Steven Taylor’ [1, 2] in United States and Canada. Independent ‘t’ test and one way analysis of variance followed by Pot-hoc method was used for mean score of different groups. Level of significance was set at 0.05 respectively.Results: A low prevalence towards wearing facemask observed among participant. A significant difference was taking into noticed between male and female participant in respect of wearing facemask. Male participant revealed high negative attitude towards wearing facemask. Similar outcomes observed in rural participants as male participants regarding practice of facemask. In respect of different age categories high negative attitude found in 8 to 18 years age group which indicate a higher disobedience among children and adolescence towards public health recommendations.Conclusions: In conclusion, in the face of pandemic where, wearing facemask is a key preventive measure to break the chain of spreading the virus among masses. Based on obtained outcomes of the present study, it was recommended that govt. of India should take necessary implementation to improve the awareness of using facemask in public.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| 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 | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».