Freins et réticences à la vaccination pédiatrique (PEV) et contre la Covid-19 : résultats d’une enquête au Niger
Notice bibliographique
Résumé
Background: Vaccination adherence among populations is a complex process involving, on the one hand, the expected benefit of a vaccine, and on the other, the perceived risk. To develop an evidence-based communication strategy aimed at improving vaccination coverage in Niger, we conducted a mixed socio-anthropological study of the perceptions among the population on the benefit and the risk of the childhood (Expanded Program on Immunization, EPI) and the Covid-19 vaccines. While the vaccine coverage for some of the EPI vaccines is above 80%, only 33% of the children are fully vaccinated, according to the national vaccination schedule. The first objective of our study was to understand the perceptions that might explain this drop off.The second objective was to identify the drivers of the low adherence to the Covid-19 vaccination, 22% of the illegible population being vaccinated. Materials and methods: In March 2023, we interviewed 509 people for the quantitative study and 40 people through focus groups and individual interviews for the qualitative one, in Niamey (80% of the interviewees) and two villages. Results: 96.9% of the interviewees think that childhood vaccines are "a good thing," even though 30.6% know that they might have negative side effects. While 87.8% think that it is "easy" or "very easy" to get children vaccinated, 21.4% point out as "annoying" the lack of amiability by the health care workers and 16.9% the waiting time. The qualitative study showed that these two complaints drive some women not to complete the vaccination schedule. We might also hypothesize that, given the perceived lack of amiability, some women don't get enough information on the side effects and their management. Surprisingly, 73.3% of the interviewees think that vaccines against the disease are a good thing, and 83% of those who have heard messages promoting the vaccination approve them. This apparent contradiction with the low vaccine uptake is explained by a very low perception of the Covid-19 risks. More than half of the population surveyed believe that the disease is not present in the country, a very large majority believe that only ill people can transmit the disease, while only 12.8% think they know anybody who has ever been sick with Covid-19. According to our results, the circulating rumors on the vaccines don't play a significant role in the low adherence to Covid-19 uptake, nor in the insufficient completeness of the EPI vaccination schedule. Conclusion: The communication efforts on EPI vaccination should focus on the explanation of the side effects and their management, as well as improving the organization of the vaccination sessions. The communication on Covid-19 vaccination should focus on the reality of the disease in the country and the groups at risk for severe forms.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».