Mozzwise answers a simple question — "Are there mosquitoes here, and how bad is it?" — for any location on Earth. We synthesize climate suitability modeling, species distribution data, and disease surveillance from WHO, CDC, ECDC, and peer-reviewed research into honest, source-cited intelligence for travelers, expats, and families. No guesswork, no fear-driven headlines — just traceable data.
Global mosquito risk intelligence spanning every major travel destination — from Southeast Asia to Sub-Saharan Africa, the Americas to southern Europe.
Monthly climate suitability scores for over half a million cells worldwide, computed from temperature, precipitation, and humidity data.
Country-level endemic status for dengue, malaria, Zika, chikungunya, yellow fever, West Nile, Japanese encephalitis, and more.
Three-factor Ecological Suitability Score combining temperature, precipitation, and humidity — not just heat, but actual mosquito breeding conditions.
Ecological profiles for Aedes aegypti, Aedes albopictus, Culex pipiens, Anopheles gambiae, and 8 more — assigned by latitude, climate, and continent.
Every data point traceable to WHO, CDC, ECDC, GBIF, OpenDengue, or other peer-reviewed sources. No guesswork, no marketing — just cited science.
How we compute mosquito risk from climate, species, and disease data.
Every cell on the map receives a monthly Ecological Suitability Score (0-100) computed from three climate factors weighted by their importance in mosquito lifecycle literature:
Based on Mordecai et al. 2019 thermal performance curves. Mosquito development peaks at 25-28°C, drops below 10°C (dormancy) and above 35°C (heat stress). This is the dominant driver of mosquito lifecycle speed.
Standing water is required for egg-laying and larval development. Optimal at 100-200mm/month. Below 30mm (arid regions like the Sahara), breeding habitat is insufficient. Above 400mm, flushing reduces habitat persistence.
Water vapor pressure (kPa) measures absolute air moisture. Below 0.8 kPa, adult mosquitoes desiccate rapidly. Above 2.0 kPa, sustained activity is possible. This factor correctly reduces scores in desert climates regardless of temperature.
12 priority mosquito species are assigned to cells based on ecological profiles (latitude range, ESS threshold, temperature tolerance, humidity requirements) and continental constraints. Profiles are sourced from Kraemer et al. 2015, Sinka et al. 2012, and other published range data.
Country-level disease endemic status is derived from OpenDengue (105 countries with severity grading), WHO endemic country lists, ECDC surveillance data, and CDC ArboNET. Diseases are only shown if they are endemic in the cell's country — preventing misleading alerts.
Climate data is from WorldClim 2.1 (1970-2000 averages), not real-time. Species assignments are modeled, not confirmed by field surveys in every cell. Disease presence is at country level, not city level. We are transparent about what we know and what we don't — this is a feature, not a weakness.
Every data point is traceable. No guesswork, no marketing — just cited science.
Global climate data (temperature, precipitation, humidity) at 2.5-minute resolution. 1970-2000 climatological averages used for the three-factor Ecological Suitability Score.
Global Biodiversity Information Facility. Point occurrence records for mosquito species, filtered to commercial-safe licenses.
Global dengue case count database covering 105 countries from 1990-2023. Used for dengue severity grading (high/moderate/low).
Global compendium of Aedes aegypti and Ae. albopictus occurrence (~42,000 geo-positioned records). Published in Scientific Data.
World Health Organization endemic country lists for malaria, yellow fever, Japanese encephalitis, and lymphatic filariasis.
European Centre for Disease Prevention and Control. West Nile virus and chikungunya surveillance data for EU/EEA countries.
US Centers for Disease Control arbovirus surveillance — West Nile, St. Louis encephalitis, Western equine encephalitis case data.
Administrative boundary polygons (110m resolution) used for country-level disease presence filtering.
Climate data is from WorldClim 2.1 (1970-2000 averages), not real-time. Species assignments are modeled, not confirmed by field surveys in every cell. Disease presence is at country level, not city level.