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Updated: Apr 6, 2026

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Protocol for Dengue Infections in Mosquitoes A. aegypti and Infection Phenotype Determination
Published on: July 4, 2007
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Weather Regulates Location, Timing, and Intensity of Dengue Virus Transmission between Humans and Mosquitoes
Karen M Campbell1, Kristin Haldeman1, Chris Lehnig1
1Computational Science Research Center, San Diego State University, San Diego, California, United States of America.
Plos Neglected Tropical Diseases
|July 30, 2015
Summary
Weather patterns, specifically temperature and humidity, precisely predict dengue transmission risk. This finding helps forecast disease outbreaks and guide public health strategies globally.
Area of Science:
- Environmental Science
- Epidemiology
- Public Health
Background:
- Dengue fever is a rapidly spreading mosquito-borne viral disease affecting millions globally.
- Predicting dengue outbreaks is challenging due to complex transmission dynamics.
- Understanding weather's impact on vector ecology is crucial for risk assessment and modeling.
Purpose of the Study:
- To empirically determine how local weather conditions influence dengue transmission.
- To identify specific temperature and humidity thresholds that define transmission risk.
- To develop a predictive model for dengue risk based on weather data.
Main Methods:
- Developed a high-resolution empirical profile of local weather-dengue connections in Peru.
- Utilized a 2D weather-space (temperature vs. humidity) to map transmission potential.
- Employed a classification tree to assess weather data's ability to predict dengue transmission.
Main Results:
- Dengue transmission potential is regulated by coupled temperature and humidity.
- Specific temperature ranges (e.g., >22°C for 7+ weeks) and humidity levels significantly increase risk.
- Epidemics occur within a defined "weather-space" of specific temperature-humidity combinations.
Conclusions:
- Local weather conditions, particularly temperature-humidity interactions, systematically define dengue transmission risk.
- This provides a sensitive, evidence-based approach for predicting dengue outbreaks.
- Advances understanding of disease ecology, supporting global public health policy and surveillance.

