Intersecting burdens of malaria and malnutrition in displaced children under five in the democratic Republic of Congo
Notice bibliographique
Résumé
Malaria and malnutrition represent a dual burden that severely affects children under 5 in refugee camps across the Democratic Republic of Congo (DRC). The DRC, with its limited infrastructure and persistent poverty, continues to experience high rates of these preventable health threats, both of which are further compounded in emergency settings. Malaria, caused by parasites of the Plasmodium genus and transmitted by female Anopheles mosquitoes, remains one of the leading public health challenges in sub-Saharan Africa[1-3]. In 2021, the DRC accounted for 12.3% of all global malaria cases, second only to Nigeria[4]. The country’s Human Development Index (HDI) of 0.481 ranks it 180th out of 193 countries, making children under 5 and pregnant women particularly vulnerable to severe illness and death from malaria[4,5]. While vector control strategies, including insecticide-treated nets and indoor residual spraying, alongside prompt diagnosis and treatment using artemisinin-based combination therapies (ACTs), have shown efficacy[6,7], the persistence of the disease underscores the challenges posed by drug and insecticide resistance and limited healthcare access[8,9]. Simultaneously, malnutrition persists as a silent but equally deadly crisis. Chronic undernutrition, micronutrient deficiencies, and acute malnutrition continue to claim lives and impair development, especially among young children[10–12]. Malnutrition weakens immune responses, increasing susceptibility to infections like malaria[13,14]. The intersection of malaria and malnutrition forms a vicious cycle – malnourished individuals are more likely to contract and suffer severe consequences from malaria, while malaria exacerbates nutritional deficits by impairing appetite and nutrient absorption. Children under 5 bear the brunt of this burden, which can result in lifelong cognitive and physical impairments[13,15]. Data from 2005 to 2014 show only modest reductions in stunting and wasting across the DRC and Republic of Congo, while malaria prevalence among children remains high, with testing revealing rates of 30.8% (RDT) and 22.6% (microscopy)[4]. This suggests that while interventions are underway, they are insufficient in addressing the full scope of the problem. To mitigate malaria, widespread distribution and proper use of insecticide-treated nets must be prioritized. Complementary indoor residual spraying programs are essential, particularly in areas with low net usage or insecticide resistance. Ensuring access to affordable ACTs through public health systems and community health workers is equally important[6,7]. Combating malnutrition requires a multi-faceted approach: promoting exclusive breastfeeding, integrating nutrition education into maternal and child healthcare, supporting sustainable agriculture, and implementing water, sanitation, and hygiene (WASH) programs. Expanding community-based management of acute malnutrition (CMAM) will be critical to reduce child mortality[10–12]. The DRC faces systemic challenges including healthcare infrastructure deficits, political instability, and inefficient intersectoral coordination. Health policies must prioritize investment in infrastructure and workforce capacity while ensuring equitable access to services for marginalized populations, including those in rural and conflict-affected areas. A call to action is warranted. Governments, civil society, donors, and international organizations must unite to implement integrated, data-driven strategies. Malaria and malnutrition are not isolated crises – they are manifestations of deeper structural inequalities that require holistic, sustained solutions.
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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) | 0,000 | 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) | 0,000 | 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 ».