Expert consensus on emergency mosquito control: labor hour estimationand implementation strategies for mosquito-borne diseases
10.3969/j.issn.1006-2483.2025.06.001
- VernacularTitle:蚊媒传染病应急灭蚊工时测算与实施策略专家共识
- Author:
Xuan YAO
1
;
Dongru LIU
1
Author Information
1. The Expert Consensus Writing Group on Labor Hour Estimation and Implementation Strategies for Mosquito - borne Diseases,Preventive Medicne Associtation of Hubei Province , Wuhan , Hubei 430079 , China
- Publication Type:Journal Article
- Keywords:
Mosquito-borne Diseases;
Emergency mosquito control;
Labor hour estimation;
Implementation strategy;
Expert consensus
- From:
Journal of Public Health and Preventive Medicine
2025;36(6):1-5
- CountryChina
- Language:Chinese
-
Abstract:
Objective To provide front-line practitioners with evidence-based guidelines for rapidly estimating the workload of mosquito control operations during mosquito-borne diseases outbreaks,to establish effective response strategies,and to facil-itate efficient deployment of human and material resources. Methods Under the auspices of the Preventive Medicine As-sociation of Hubei Province,a panel of experts was convened to develop the framework for this consensus. The drafting com-mittee conducted a systematic analysis and synthesis of field-based practices relevant to the outlined topics. The document was subsequently reviewed,debated,and refined through multiple rounds of discussions by experts from the Association's Committees on Disinfection & Vector Control and Epidemiology before finalization. Results This consensus document pro-vides recommendations on mosquito control methodologies, labor time estimation, operational organization, implementation strategies,as well as effectiveness evaluation and continuous improvement. Conclusion It offers a scientific basis for e-mergency mosquito control workload calculation and proposes standardized management protocols for organizing response ef-forts. This consensus is instrumental in guiding and improving the control of mosquito-borne diseases across diverse regions.
