Los datos sobre las precipitaciones por sí solos no pueden predecir dónde puede aparecer la malaria. Si se tienen en cuenta los procesos hidrológicos, los investigadores pueden hacerse una imagen más precisa de la transmisión.
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Posted inResearch Spotlights
Mosquitoes Without Borders
Using regional systems based on ecology, not geopolitical boundaries, can give scientists a better picture of the potential spread of West Nile virus.
Posted inNews
Malaria Transmission in Africa Shifts with the Climate—and Hydrology
Rainfall data alone can’t predict where malaria may pop up. Factoring in hydrological processes helps researchers paint a more nuanced picture of transmission.
Posted inResearch Spotlights
App Tracks Harmful Mosquitos with Help from Crowdsourced Science
While collecting data using an app, volunteers have the chance to support research and fight mosquito populations on the ground.
Posted inNews
Hydrology Helps Identify Future Malaria Hot Spots
Complex hydrological processes—not just the amount of rainfall—help determine where malaria-transmitting mosquitoes can thrive.
Posted inNews
Mapping Dengue Fever Hazard with Machine Learning
Researchers develop a predictive software system to identify city-specific, dengue fever risk areas amid a global increase in cases.
Posted inNews
Dengue Fever Epidemics Linked with El Niño, Study Says
High temperatures associated with the recurring global climate pattern foster mosquito-friendly conditions that may accelerate transmission of the virus.