Urban Aedes aegypti suitability indicators: a study in Rio de Janeiro, Brazil

Area of Science:

• Vector-borne disease ecology
• Geospatial analysis
• Urban entomology

Background:

• Dengue fever, transmitted by Aedes aegypti mosquitoes, causes millions of infections and deaths globally.
• Effective control requires understanding mosquito distribution, but traditional methods miss urban spatial variability.
• Urban landscapes and mosquito flight range limit traditional surveillance accuracy.

Purpose of the Study:

• To leverage geospatial big data for mapping Aedes aegypti breeding habitats.
• To infer seasonal suitability for Aedes aegypti at a high spatial resolution.
• To improve understanding of Aedes aegypti spatiotemporal distribution in urban environments.

Main Methods:

• Utilized satellite and street view imagery to identify mosquito breeding sites.
• Developed microhabitat and macrohabitat indicators for immature Aedes aegypti.
• Applied spatiotemporal interpolation of ovitrap counts using suitability indicators.

Main Results:

• Microhabitat and macrohabitat indicators explained up to 74% of immature Aedes aegypti distribution.
• High-resolution insights into spatial variability of urban immature Aedes aegypti were achieved.
• The method surpassed limitations of traditional sample-based surveillance.

Conclusions:

• Synergizing field data with digital urban landscape indicators enhances vector control strategies.
• Accurate Aedes aegypti distribution estimation is vital for targeted interventions like Wolbachia.
• This approach aids in combating the spread of Aedes aegypti-transmitted viruses.