New publications
Climate change could expand chikungunya risk zones: Model points to 139 countries
Last updated: 29.05.2026
All iLive content is medically reviewed or fact checked to ensure as much factual accuracy as possible.
We have strict sourcing guidelines and only link to reputable media sites, academic research institutions and, whenever possible, medically peer reviewed studies. Note that the numbers in parentheses ([1], [2], etc.) are clickable links to these studies.
If you feel that any of our content is inaccurate, out-of-date, or otherwise questionable, please select it and press Ctrl + Enter.
A study published in the journal Frontiers in Cellular and Infection Microbiology modeled current and future potential transmission zones for the chikungunya virus. The authors used ensemble species distribution models to estimate where climate conditions and mosquito vector distributions could support transmission now and in the future.
The study's key finding: currently, potential risk zones for chikungunya virus transmission cover 21.26% of the world's land area and affect 139 countries and regions. The highest risk zones are currently concentrated in tropical and subtropical regions—South America, Africa, South and Southeast Asia, the Caribbean, and parts of Oceania.
However, climate change may alter the geography of the risk. The model shows a possible expansion of transmission zones into temperate latitudes: northeastern North America, north-central Europe, and East Asia may become more significant surveillance zones by the end of the 21st century. Meanwhile, in some tropical regions, the risk may decrease rather than increase during extreme warming due to heat stress, which reduces the suitability of the environment for mosquitoes.
It's important to understand: this is not a forecast of specific case numbers or a statement that outbreaks will inevitably occur in the countries listed. The study assesses the ecological suitability of the territories for virus transmission: whether the climate is suitable, whether the conditions are conducive to Aedes aegypti and Aedes albopictus mosquitoes, and whether this corresponds to known data on the virus.
| Key point | What the study showed |
|---|---|
| Disease | Chikungunya |
| Pathogen | Chikungunya virus |
| Main carriers | Aedes aegypti and Aedes albopictus |
| Type of study | Modeling the global risk of transmission |
| Method | Hierarchical ensemble models of species distributions |
| Current potential risk zone | 21.26% of the world's land area |
| Number of countries and regions at risk | 139 |
| Period of future forecasts | 2021-2100 |
| DOI | 10.3389/fcimb.2026.1808175 |
Why is chikungunya virus important for public health?
Chikungunya is a viral infection transmitted by mosquitoes of the Aedes genus. The article states that the virus is most commonly transmitted by Aedes aegypti and Aedes albopictus. The disease takes its name from the Makonde language, referring to the characteristic hunched posture of patients suffering from severe joint pain.
Typical symptoms of the acute phase include fever, rash, muscle pain, and severe joint pain. In some patients, the disease does not resolve quickly: a chronic phase may develop with persistent joint pain and other musculoskeletal symptoms.
In terms of global risk, the vector, Aedes albopictus, is particularly important. Unlike Aedes aegypti, it tolerates a wider range of temperatures and is able to establish itself in temperate regions. This is why the chikungunya virus has been able to spread beyond the classic tropical zones and pose a threat to Asia, Europe, and the Americas.
The authors of the article emphasize that climate change alters the ecological niches of vectors. If mosquitoes gain the ability to survive and reproduce in new regions, this creates a potential basis for virus transmission. However, an actual outbreak depends on more than just climate: the introduction of the virus, population density, urban environment, mosquito control, medical preparedness, and the presence of immunity in the population are all important factors.
| What makes chikungunya significant? | Explanation |
|---|---|
| Severe joint pain | May dramatically reduce daily activity |
| Possible chronic phase | In some patients, symptoms persist beyond the acute period. |
| Transmission via Aedes | These mosquitoes are already widespread throughout the world. |
| Climate sensitivity | Temperature and precipitation influence the suitability of the environment for vectors |
| Risk in new regions | The population of temperate countries may not have immunological readiness |
| The need for early supervision | New risk zones require mosquito monitoring and diagnostics |
How the simulation was conducted
The researchers used data on recorded occurrences of Aedes aegypti and Aedes albopictus mosquitoes from 2015 to 2025 from the Global Biodiversity Information Facility, and data on chikungunya virus cases from 2010 to 2022 from HealthMap. After data cleaning and spatial thinning, the modeling included 1,324 records for Aedes aegypti, 1,948 records for Aedes albopictus, and 1,700 records for chikungunya virus.
The climate data included 19 bioclimatic variables and altitude. For future projections, the authors used 16 climate scenario combinations: four socioeconomic trajectories (SSP126, SSP245, SSP370, and SSP585) multiplied by four global climate models. This allowed them to evaluate not just a single "future line," but a range of possible climate scenarios up to 2100.
The study's methodological feature is a hierarchical approach. First, the scientists modeled the potential distribution of two mosquito vectors, then used the suitability of the environment for these mosquitoes as biological predictors to assess the risk of chikungunya virus transmission. This approach reflects a real-world chain: climate influences mosquitoes, and mosquitoes limit the potential for virus transmission.
To improve reliability, the authors applied 11 modeling algorithms and assembled ensemble models. Performance was assessed using the area under the error curve and true skill statistics. The resulting ensemble models demonstrated high predictive ability: for Aedes aegypti, the area under the curve was 0.949, for Aedes albopictus, 0.934, and for chikungunya virus, 0.909.
| Element of the methodology | What was used? |
|---|---|
| Aedes aegypti data | 15,600 original records, 1,324 after cleaning |
| Data on Aedes albopictus | 42,170 original records, 1,948 after cleaning |
| Chikungunya virus data | 13,524 original records, 1,700 after cleaning |
| Climate variables | 19 bioclimatic factors and altitude |
| Future scenarios | 16 combinations of SSP and climate models |
| Algorithms | 11 different models |
| The final approach | Ensemble modeling with model quality weights |
What is known about current risk zones?
According to ensemble model calculations, Aedes aegypti currently has potentially suitable habitat on approximately 9.69% of the world's land surface. The most suitable areas for this vector are concentrated in central South America, the Caribbean region of North America, and the southeastern coast of Africa.
For Aedes albopictus, the potential suitability zone was broader—approximately 13.90% of the global land area. Highly suitable areas include the southeastern United States, southeastern South America, and the southeastern coast of Asia. Moderate and low suitability zones also extend along the Mediterranean, the Gulf of Guinea coast, southeastern Africa, and eastern Oceania.
For the chikungunya virus itself, the model estimated potential transmission zones at 21.26% of the world's land area. High-risk areas include the Caribbean coast of North America, eastern South America, the Gulf of Guinea coast in Africa, and coastal areas of South and Southeast Asia.
At the continental level, the highest risk share for the chikungunya virus was calculated for South America - 83.41%, followed by Africa - 42.67%, Oceania - 41.77%, Asia - 30.69%, North America - 13.60%, and Europe - 6.62%. Among the countries and territories with high exposure, the authors name, for example, Equatorial Guinea, Côte d'Ivoire, Ghana, Madagascar, Liberia, the Philippines, Sri Lanka, Cambodia, Bangladesh, Thailand, Jamaica, Nicaragua, Belize, Puerto Rico, Cuba, Guyana, Suriname, Paraguay, Brazil, and Ecuador.
| Indicator | Current model evaluation |
|---|---|
| Aedes aegypti potential area | 9.69% of the world's land area |
| Potential area of Aedes albopictus | 13.90% of the world's land |
| Potential transmission area for chikungunya virus | 21.26% of the world's land area |
| Number of countries and regions at risk of transmission | 139 |
| The continent with the highest risk | South America |
| Risk share in Europe | 6.62% |
| Risk Share in North America | 13.60% |
How Climate Could Change the Risk Map
Future projections proved to be heterogeneous: the outcome depends both on the chosen climate scenario and the global climate model. In models with high climate sensitivity, the risk of virus transmission was more often increased, while in models with lower sensitivity, many scenarios showed a decrease in risk. This means that uncertainty is not a technical detail—it is built into the climate problem itself.
The overall spatial signal is as follows: Europe and North America may experience an expansion of potential risk zones, while Africa and Oceania may experience a reduction in suitable zones in some scenarios. The authors identify particularly significant zones of potential expansion in the northeastern United States and southeastern Canada, Chile and Argentina, north-central Europe, China, Japan, and North Korea.
At first glance, it might seem strange that warming could reduce the risk in some areas. However, mosquitoes have thermal limits. The article discusses how, when physiological temperature ceilings are chronically exceeded, vector populations can decline. For Aedes aegypti and Aedes albopictus, the discussion cites approximate upper limits of approximately 35°C and 32°C, respectively. Therefore, in some tropical regions, extreme warming could worsen conditions for mosquito vectors.
The dynamics of the Sahel are particularly interesting. The model describes a "first expansion, then contraction" trajectory: moderate initial warming may temporarily improve conditions at the edges of current risk zones, but with more intense warming by the end of the century, these areas could move beyond the mosquito optimum.
| Region | Possible future dynamics |
|---|---|
| Northeastern North America | Expanding potential risk |
| North-Central Europe | Expanding potential risk |
| East Asia | Expanding potential risk |
| The Mediterranean coast of Europe | Some forecasts suggest a possible decline |
| Northern Australia | Possible reduction in certain scenarios |
| Sahel | Early expansion followed by contraction during strong warming |
| Tropical cores of risk | In certain scenarios, heat stress for vectors is possible |
Why mosquitoes played a decisive role
One of the most important findings of the study was that viral risk was found to be largely vector-dependent. Environmental suitability for Aedes albopictus explained 72.47% of chikungunya virus distribution, while environmental suitability for Aedes aegypti accounted for an additional 11.92%. Together, these two vectors accounted for approximately 84% of the model's explanatory power for the virus.
This means that climate affects risk not only directly but also through vectors. If a region becomes suitable for Aedes albopictus or Aedes aegypti, then the virus's introduction creates a potential ecological basis for local transmission. If mosquitoes cannot survive sustainably, the risk of transmission is limited, even if the virus is introduced by travelers.
For Aedes aegypti, the key variables were isothermality, temperature seasonality, and altitude. For Aedes albopictus, isothermality, precipitation in the wettest month, and the average temperature of the driest quarter were important. This highlights that even closely related vectors respond differently to climate.
Aedes albopictus deserves special attention because it tolerates a wider range of climate conditions and plays a significant role in the potential spread of the risk to temperate regions. The model shows that environmental suitability for this vector was the largest factor in the virus's distribution, making monitoring Aedes albopictus particularly important for countries that have not previously considered chikungunya a priority threat.
| Factor | Contribution to the model |
|---|---|
| Environment suitability for Aedes albopictus | 72.47% |
| Environment suitability for Aedes aegypti | 11.92% |
| Average temperature of the wettest quarter | 9.89% |
| Temperature seasonality | 1.89% |
| Seasonality of precipitation | 1.48% |
| Altitude | 0.75% |
| The combined contribution of two carriers | about 84% |
What does this mean for Europe, North America and East Asia?
The authors specifically highlight temperate regions as new areas of focus. According to their forecasts, north-central Europe, the northeastern United States, and East Asia could become priority areas for monitoring by 2040. This is because warming may weaken the previous low-temperature constraints on mosquito vectors.
Moreover, it was in Europe and eastern North America that the uncertainty between climate models was particularly high. This is logical: these regions are on the edge of ecological suitability, and even small differences in winter temperature forecasts can change the conclusion about whether Aedes albopictus will be able to survive the winter and establish itself.
For healthcare systems, the key is not panic but preparation. If a region becomes potentially susceptible to a vector, entomological surveillance, clinician training, laboratory diagnostics, genomic virus monitoring, and mosquito control programs must be developed in advance. The authors explicitly recommend that countries at moderate risk levels strengthen such measures by 2040.
A separate issue is the population's low immunological preparedness. In regions where chikungunya has previously been virtually absent, the population lacks widespread natural immunity. This can increase the risk of large outbreaks when three conditions combine: the presence of a carrier, the virus's importation, and inadequate public health preparedness.
| Region | Why is it important? |
|---|---|
| North-Central Europe | Possible expansion of ecological suitability |
| UK and Germany | The authors provide examples of regions for early surveillance. |
| Northeastern United States | Potential risk expansion area |
| Southeastern Canada | Mentioned among areas of potential expansion |
| China and Japan | East Asia highlighted as an area of future focus |
| North Korea | Indicated among the territories for possible expansion |
| Temperate regions in general | May be vulnerable due to low immunological readiness |
Limitations of the study
The first limitation is related to the source data. The authors acknowledge that mosquito and virus records may be uneven: the Global Biodiversity Information Facility provides better coverage of Europe and North America, while HealthMap may underrepresent data from Africa and Southeast Asia. Spatial cleanup reduces this bias, but does not eliminate it completely.
The second limitation is the two-stage structure of the model. First, the suitability of the environment for mosquitoes is predicted, then these predictions are used as input for the virus. The authors used an ensemble approach to reduce error accumulation, but it is impossible to completely eliminate the transmission of uncertainty from the first stage to the second.
The third limitation is the assumption of stable relationships between the virus, vector, and climate. In the real world, viruses can evolve, and mutations can alter their adaptability to different mosquito species. The article explicitly notes that such unpredictable eco-evolutionary processes are not included in the model.
The fourth limitation is the emphasis on bioclimatic factors. The model did not fully incorporate anthropogenic factors such as urbanization, population growth, mobility, water supply quality, water storage, sanitation, and the ability of the healthcare system to control vectors. Therefore, the results are best understood as a climatically and ecologically validated map of potential risk rather than as a ready-made forecast of future disease incidence.
| Limitation | Why is this important? |
|---|---|
| Unevenness of the initial data | Some regions may be better or worse represented. |
| Possible underestimation of Africa and Southeast Asia | HealthMap data may not reflect all actual events. |
| Two-stage model | Mosquito forecast error may impact virus forecast |
| Unaccounted evolution of the virus | Mutations can change the virus's ability to transmit |
| There is no complete accounting of urbanization | The urban environment has a strong influence on Aedes mosquitoes. |
| There is no forecast for the number of cases | The model shows the suitability of the environment, not the future incidence of disease |
The main conclusion
The study shows that climate change may not simply "increase" the risk of chikungunya, but redistribute it. In some regions, particularly in temperate latitudes, conditions may become more suitable for virus transmission. In others, particularly in some tropical zones during extreme warming, the suitability of the environment for mosquitoes may decrease due to a shift beyond physiological temperature limits.
The most practical part of the work is the identification of future early surveillance zones. North-central Europe, northeastern North America, and East Asia are identified as regions where it makes sense to strengthen Aedes mosquito monitoring, laboratory readiness, physician training, and vector control programs by 2040.
However, the article doesn't prove that large outbreaks will necessarily occur in all these regions. Real transmission requires virus importation, sufficient vector density, suitable urban and social conditions, and insufficient mosquito control. Therefore, the main conclusion is not one of panic but of management: risk maps are needed to plan preventative measures in advance, rather than react only after outbreaks begin.
News source: Qianqian Zhang, Ling Zhang, Yuchang Ma, Ziyi Jiang, Yuhe Si, Tianxing Zhang, Binbin Jin, Fangfang Tao, Yang Wu, Ye Xu. Predicting the global risk of chikungunya virus under climate change using ensemble species distribution models. Frontiers in Cellular and Infection Microbiology, 2026;16. DOI: 10.3389/fcimb.2026.1808175.
