Assessment of Preparedness for the COVID-19 Pandemic in Schools in Al-Rusafa District, Baghdad, Iraq, 2021
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Notice bibliographique
Résumé
Background Following the international spread of the novel coronavirus (SARS-CoV-2) or COVID-19 pandemic, the Iraqi government took several steps to prevent community transmission, including the indefinite closure of schools as a measure to safeguard schoolchildren from COVID-19. The key rationale behind these decisions was the insufficient preparedness level within schools to prevent infection and the lack of appropriate vaccines for children. Objective Researchers assessed COVID-19 preparedness levels in schools in Al-Rusafa district, Baghdad, to prepare schools for reopening. Methods An observational study design was conducted to assess the schools. Stratified sampling was performed to make the sample more representative; we stratified the schools into 3 categories based on sex, level (primary or secondary), and administration (public or private). The study population comprised all students and teachers in the selected sample. The assessment was carried out retrospectively for 3 months, from May 31, 2021. Data were collected through face-to-face interviews and analyzed using Microsoft Excel. Tables and pie charts were used to display the results. Results The assessment was completed in 40 schools—20 (50%) primary schools, 10 (25%) high schools, 6 (15%) intermediate schools, and 4 (10%) secondary schools. Overall, the assessment covered 1162 teachers and 16,776 students. The highest infection rate, according to school category, was among primary school staff (6.14%). Moreover, 92% (n=39) of the schools did not have a contact number for a nearby ambulance, and early detection system was weak in 60% (n=24) of the schools, which reflected low levels of school participation in preparing against the COVID-19 pandemic. Referral system for any sick person to an appropriate health facility was not present or was disabled in 63% (n=25) of the schools. Conclusions The assessment concluded that none of the schools had a robust screening system to record students infected with COVID-19. The study discusses several actions and requirements that should be reviewed and addressed to prevent the spread of COVID-19 in the schools and the community.
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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 | 0,004 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 découle