Managing and controlling diseases transmitted by Aedes mosquitoes: a review on best practices
Rasoul Ebrahimi, Seyed Aria Nejadghaderi, Mohammad Khalili, AliAkbar Haghdoost, Abbas Aghaei-Afshar, Hamid Sharifi

TL;DR
This paper reviews best practices for controlling Aedes mosquitoes and managing dengue fever globally, emphasizing community efforts, surveillance, and innovative methods.
Contribution
The study compiles and evaluates diverse global strategies for Aedes mosquito control and dengue prevention, including novel interventions like Wolbachia and machine learning.
Findings
Wolbachia-based interventions reduced dengue incidence by 77% in urban trials.
Machine learning models improved outbreak prediction accuracy by up to 29%.
Community-driven programs enhanced preventive behaviors by 50–70%.
Abstract
Dengue fever (DF) is a viral disease caused by the dengue virus and is transmitted to humans by Aedes mosquitoes. It is characterized by symptoms such as high fever and severe headache, which can lead to severe complications. As there are no effective treatments or vaccines, prevention is crucial. This study aims to identify best practices from various countries for controlling Aedes populations and managing DF. We reviewed best practices for DF and Aedes mosquito control from various countries, including Taiwan, India, Oman, Singapore, Malaysia, Sri Lanka, Indonesia, Pakistan, China, the Philippines, Japan, Brazil, Paraguay, France, Portugal, Spain, Peru, the United States, Colombia, Australia, and Iran. The PubMed database was searched until August 2024. Dengue outbreaks necessitate diverse control strategies across nations. Machine learning models incorporating climatic and…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsMosquito-borne diseases and control · Parasitic Diseases Research and Treatment · Zoonotic diseases and public health
