Parasitology, Poverty and Prevention: is there any relationship between the three P? Is it possible to eradicate Parasitic diseases without eliminating Poverty?
Notice bibliographique
Résumé
Abstract Context Talking about Poverty is not obvious without examples, I would like to understand the link between Parasitology, Poverty and Prevention (the three P). I explain the three P by saying that there is four level of knowledge in Parasitology and the fourth level is the integration with other disciplines including virology with preventive measures, nutrition aspects with denutrition leading by some parasites as Ascaris, economy involving patient’s income and Poverty. As a reminder, the first level in Parasitology is the knowledge of the parasitic cycle with an emphasis on the mode of contamination, the second level is that of the implementation of technical or diagnostic means to identify the parasite in the laboratory or the bench and the third level is that of treating infected cases diagnosed in the laboratory. Objective The objective of this work is to contribute to reach the first sustainable development goal i.e. no Poverty. Specifically, this manuscript aimed to evaluate poverty with the protective measures against the harmful effects of mosquitoes that contribute to the quality of care given to patients of the University Hospital of Kinshasa (UHK). Findings Residual mosquito capture, carried out in 31 randomly selected rooms per block and per level in hospital departments, presented the number of 1,144 female mosquitoes (845 Culex , 207 Anopheles and 62 Aedes). Overall considered, the Mean Mosquito Density (MMD) was 36.2 / mosquito per room (6.9 Anopheles / room, 29.1 Culex / room and 2.1 Aedes / room with an extreme between 0 and 144 mosquitoes / room. The lowest MMD (6.2 mosquitoes / room) was observed in Block II (clinical biology and microbiology laboratories, delivery and private hospitalization rooms) compared to other hospital blocks that had the highest MMD and statistically identical (ranging between 29.2 and 45.5 mosquitoes / room). Our observations give a good idea of Poverty inside this hospital and where to concentrate in the prevention of malaria transmission within the hospital. Regardless of the block considered, it was the ground floor with an MMD of 52.8 mosquitoes / room which were the most dangerous places compared with the first and second floors with MMD respectively 17.6 and 25.6 mosquitoes / room. Conclusion In conclusion, the insufficiency of the UHK anti-mosquito measures was obvious. These should be applied without delay to prevent the risk of infection transmission by mosquitoes, even within the hospital, of hepatitis B virus and strains of Plasmodium falciparum , sometimes highly virulent, which may be concentrated there. Limits We were on the right track and this study needs more research because of its limitations: we investigate and did not find if any of the mosquitoes collected were infected; we did not investigate if the hospital had any patients with a mosquito transmitted disease in the rooms where the mosquitoes were collected. Recommendation The recommendation is if it is not possible to eradicate parasitic diseases as malaria without eliminating poverty, then we need to eliminate them both.
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 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 | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,005 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».