Strengthening mosquito control to manage emerging mosquito-borne diseases
Eurosurveillance·
- DOI
- 10.2807/1560-7917.es.2026.31.33.2600306
- PMID
- 42626793
- PMCID
- —
- OpenAlex
- W7203940766
- Study type
- Journal article
- Publisher
- European Centre for Disease Control and Prevention (ECDC)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Establishing unified, multi-disciplinary programs and funding future evaluations of intervention safety and ecological consequences supports broader disease prevention goals.
Structured evidence summary
Research question
How can European nations enhance coordinated vector management and cross-sectoral collaboration to address rising mosquito-borne illness threats?
Study design
This publication is a peer-reviewed journal article presenting a strategic perspective on public health policy and vector management frameworks.
Population and setting
The discussion centers on European Union member states and involves multiple governmental agencies alongside local communities engaged in monitoring activities.
Main findings
Current literature lacks robust data on the financial efficiency of standard control techniques, while approved chemical options face growing resistance and limited availability.
Public-health relevance
Establishing unified, multi-disciplinary programs and funding future evaluations of intervention safety and ecological consequences supports broader disease prevention goals.
Important limitations
The analysis acknowledges insufficient documentation regarding the economic value of existing control practices and highlights constrained regulatory options due to pest tolerance.
GIDS interpretation
This work outlines conceptual priorities for integrated pest management, offering contextual background for regional health planning discussions while deliberately avoiding linkage to active monitoring datasets.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 11 auditable classifier relationships to diseases, places, topics, and study design.