Abstract
West Nile virus (WNV), the most widely distributed virus of the encephalitic flaviviruses, is a vector-borne pathogen of global importance. The transmission cycle exists in rural and urban areas where the virus infects birds, humans, horses and other mammals. Multiple factors impact the transmission and distribution of WNV, related to the dynamics and interactions between pathogen, vector, vertebrate hosts and environment. Hence, among other drivers, weather conditions have direct and indirect influences on vector competence (the ability to acquire, maintain and transmit the virus), on the vector population dynamic and on the virus replication rate within the mosquito, which are mostly weather dependent. The importance of climatic factors (temperature, precipitation, relative humidity and winds) as drivers in WNV epidemiology is increasing under conditions of climate change. Indeed, recent changes in climatic conditions, particularly increased ambient temperature and fluctuations in rainfall amounts, contributed to the maintenance (endemization process) of WNV in various locations in southern Europe, western Asia, the eastern Mediterranean, the Canadian Prairies, parts of the USA and Australia. As predictions show that the current trends are expected to continue, for better preparedness, any assessment of future transmission of WNV should take into consideration the impacts of climate change.
Keywords: vector-borne diseases, West Nile virus, climate change
1. Climate change and vector-borne disease
Climate change is a complex phenomenon [1] that affects human health. The impacts are multifaceted and vary in scale and timing as a function of the local environmental conditions and human vulnerability. As a part of that, climatic change influences the emergence of vector-borne diseases such as malaria, dengue and West Nile virus (WNV) by altering their rates, ranges, distribution and seasonality [2–7]. Vector-borne diseases are dynamic systems with complex ecology, which tend to adjust continually to environmental changes in multifaceted ways. Although climate is one of several factors that influence the distribution of these diseases, it is known to be a major environmental driver influencing their epidemiology. Weather conditions (in particular temperature, precipitation and humidity) affect the survival and reproduction rates of the vectors, their habitat suitability, distribution and abundance. Additionally, climatic factors impact the intensity and temporal activity of the vector throughout the year and affect the rates of development, reproduction and survival of pathogens within the vectors [5,8].
The Intergovernmental Panel on Climate Change (IPCC) [9] lists vector-borne diseases among the consequences most likely to change due to global warming. Moreover, as these diseases are particularly sensitive to climatic fluctuations, they might serve as an alert to focus attention on climate change threats [10,11].
The aim of this review is to examine and integrate the up-to-date knowledge on the impacts of climate change on WNV transmission in a global context. All available peer-reviewed studies that deal with linkages between climatic factors and WNV have been collected for this paper, and most of them are mentioned below. Special attention has been paid to recent publications that highlight regional climatic change impacts on vector population dynamics and on disease transmission.
2. West Nile virus
West Nile virus is one of more than 70 viruses of the family Flaviviridae of the genus Flavivirus. Serologically, it is a member of the Japanese encephalitis serocomplex. The viruses can be designated into at least five phylogenetic lineages but only lineages 1 and 2 have been associated with significant disease outbreaks in humans [12,13]. The enzootic cycle is driven by continuous virus transmission to susceptible bird species through adult mosquito blood-meal feeding, which results in virus amplification. Species from the genus Culex mosquitoes (family Culicidae) are the primary amplification vectors and also act as bridge vectors. The transmission cycle exists in rural ecosystems as well as in urban areas where the virus infects birds, humans, horses and other mammals [14–23]. The distribution of WNV is dependent on the occurrence of susceptible avian reservoir hosts and competent mosquito vectors, mosquito host preference and availability of hosts [12].
Most human infections occur in the summer or early autumn [24]. West Nile fever (WNF) is a potentially serious illness for humans and approximately 1 in 150 infected people develop a serious illness with symptoms that might last for several weeks. Up to 20% of patients have milder symptoms and approximately 80% show no symptoms at all [25].
Geographically, the virus has circulated in Africa since 1937, and up until the early 1990s human outbreaks were reported in Africa and Israel, mainly associated with mild febrile illnesses. Since then, new viral strains, probably of African origin, have increased human disease incidence in parts of Russia and southern and eastern Europe, with large outbreaks of increased clinical severity occurring in Romania, Russia, Israel and Greece [12,26].
The first appearance of WNV in the western hemisphere occurred in New York City in 1999 [27]. The virus had spread to the Pacific coast by 2003 and to Argentina by 2005 [28,29]. Currently, WNV has an extensive distribution throughout Africa, the Middle East, southern and eastern Europe, western Asia and Australia, which derives from its ability to infect numerous mosquito and bird species. Today, as WNV is the most widely distributed of the encephalitic flaviviruses, it is a vector-borne pathogen of global importance [12].
3. West Nile virus and climate
Multiple factors impact the complex epidemiology of WNV besides its transmission and distribution. These factors are related to the dynamics and interactions between the pathogen, vector, vertebrate hosts and environment. Hence, among other drivers, weather conditions have direct and indirect influences on vector competence (the ability to acquire, maintain and transmit the virus), on the vector population dynamics and on the virus replication rate within the mosquito, which are mostly climate- and weather-dependent [23,30,31]. Table 1 summarizes the main impacts of climatic variables on the epidemiology of WNV.
Table 1.
climatic variable | impacts on the epidemiology of WNV |
|
---|---|---|
temperature | correlates positively with: —viral replication rates —seasonal phenology of mosquito host populations —growth rates of vector populations —viral transmission efficiency to birds —geographical variations in human case incidence correlates negatively with: —interval between blood meals —incubation time from infection to infectiousness in mosquitoes |
|
precipitation (contradictory findings) | above average, floods | —leads to higher mosquito abundance—reduces potential by flushing drainage channels used by Culex larvae —correlates positively with potential for disease outbreaks in humans |
below average, drought | —facilitates population outbreaks of some mosquito species —‘rich’ standing water attracts several species of mosquitoes and birds; this increases the bird–mosquito interaction and accelerates the epizootic cycling and amplification of WNV within these populations |
|
relative humidity | correlates positively with: —vector population dynamics —morbidity in humans |
|
wind | contributes to virus spread by impact on wind-blown mosquitoes and on the arboviruses they transmit affects bird migration through changes in the patterns of storm tracks |
(a). Temperature
Ambient temperature plays an important role in viral replication rates and transmission of WNV by affecting the length of extrinsic incubation, the seasonal phenology of mosquito host populations and the geographical variations in human case incidence [22,30,32–34]. Increased temperatures cause an upsurge in the growth rates of vector populations, decrease the interval between blood meals, shorten the incubation time from infection to infectiousness in mosquitoes, accelerate the virus evolution rate and increase viral transmission efficiency to birds [22,23,30,32,35,36].
Laboratory experiments demonstrated that the virus is capable of replication across a wide range of temperatures, from 14°C in poikilothermic mosquitoes [37] to 45°C in febrile avian hosts [33]. However, it was shown that the replication cycle is completed more quickly in mosquitoes at higher temperatures [38,39], while a clear association was found between extreme heat and outbreak intensity in humans [4,18,22,35,40–43]. At the same time, it is important to note that, in some cases, extremely high temperatures begin to slow down mosquito activity. For example, temperatures above 30°C reduced larval survival of Culex tarsalis [44] and slowed WNV growth in Culex univittatus [45].
In addition, the change in environmental temperatures might have an indirect impact on the spread of the virus. It is well known that the transmission cycle involves birds as the principal hosts (and mosquitoes, largely bird-feeding species, as the primary vectors) [23]. In recent years, it has been observed that several bird species have been migrating to their breeding grounds earlier as a result of an early rise of the mean spring temperatures, which is one of the effects of global warming [46–50]. This phenomenon might influence the appearance and timing of the disease in locations near or along migration routes. However, this assumption needs further investigation.
(b). Precipitation
A common dogma in epidemiology is that above-average precipitation might lead to a higher abundance of mosquitoes and increase the potential for disease outbreaks in humans [51,52]. This pattern of a positive association with rainfall in the months preceding disease outbreaks has been demonstrated for WNV [42,53]. However, the literature shows a more complex picture. Although the patterns of disease incidence can be influenced by the amount of precipitation, the response might change over large geographical regions, depending on differences in the ecology of mosquito vectors [23,52,54]. For instance, heavy rainfall increases the standing water surface which is necessary for mosquito larval development. On the other hand, heavy rainfall might dilute the nutrients for larvae, thus decreasing the development rate [55]. It might also lead to a negative association by flushing the ditches and drainage channels used by Culex larvae [56,57].
Below-average precipitation can facilitate population outbreaks of some species of mosquitoes because the drying of wetlands disrupts the aquatic food-web interactions that limit larval mosquito populations [44,56,58]. Drought leads to close contact between avian hosts and mosquitoes around remaining water sources and therefore accelerates the epizootic cycling and amplification of WNV within these populations [59]. Furthermore, during drought conditions, standing water pools become richer in the organic material that mosquitoes need in order to thrive [22]. Such water areas might be attractive for several bird species also, which might increase the bird–mosquito interaction.
Moreover, ecological studies showed that drought conditions can facilitate population outbreaks of some species of mosquitoes in the following year [58].
(c). Relative humidity
The research regarding the role of relative humidity in WNV eruptions is very limited. Significant positive correlations were found between hospital admission dates of patients and relative humidity levels in the Tel Aviv metropolis (Israel) [4]. A study in Maryland, USA, examined the effect of off-season factors on mosquito population size. Among other variables, the average maximum relative humidity was associated with vector population dynamics [60]. A recent analysis detected correlations between morbidity in humans and weekly relative humidity in Europe and western Asia [22]. All these studies found that air temperature is a better predictor for increasing disease cases than air humidity.
(d). Wind
Wind patterns might contribute to virus spread by their impact on wind-blown mosquitoes [61]. Storm fronts have been proposed as dispersal mechanisms for mosquitoes and the arboviruses they transmit [62–64]. For example, it was shown that wind is used by Culex tritaeniorhynchus mosquitoes as a means of migration in China [65].
Winds might impact on WNV spreading also by affecting bird migration through changes in the patterns of storm tracks. In recent years, significant changes in the location and intensity of storms have been shown on a regional basis, as a part of climate change observations and scenarios [66]. Thus, it seems that change in storms might influence WNV dispersal by impacting the dynamics of storm-driven birds [23].
The importance of climatic factors as drivers in the epidemiology of WNV is increasing under conditions of climate change. Consequently, the aim of the following sections is to highlight the linkages between climatic change and WNV transmission in a global perspective (see also table 2).
Table 2.
main climatic changes | impact on WNV transmission | |
---|---|---|
Europe and western Asia | temperature increase increase in heat wave frequency and intensity |
warmer conditions facilitated the establishment of WNV in new areas through an expansion of range and seasonal abundance of vector species, and by directly increasing competence for transmission |
precipitation increase in the north and decrease (with dry periods) in the south more heavy rainfall events in Eurasia and central Europe less summer precipitation and more river floods in winter |
precipitation might increase standing water availability for mosquitoes (but results for rainfall are less consistent) | |
North America | average temperature has risen | increased temperature is positively correlated with the rate of virus evolution, with mosquito abundance and infection; it influences WNV distribution and plays an important role in the maintenance and amplification of human infection |
across the USA precipitation has increased by an average of about 5% increase in water scarcity in the Canadian Prairies |
findings are inconsistent, particularly when the analyses include different vectors: in general, human outbreaks of WNV are preceded by above average rainfall in the eastern USA and by below-average rainfall on the western side | |
Australia | annual average daily mean temperature has increased by 0.9°C since 1910 | in a warmer climate, C. annulirostris populations are expected to reach high levels of abundance earlier and maintain them for longer |
increased spring and summer monsoonal rainfall across northern Australia and decreased late autumn and winter rainfall across the south | an outbreak of equine encephalitis (WNVKUN) followed extensive flooding across eastern Australia |
4. Europe and Eurasia
(a). Main climatic change observations
Impacts of climate change vary by region, depending on the change intensity and the vulnerability rate of the area. In general, during recent decades Europe has warmed up; temperature rise was much larger than the global average, especially in the north, and larger than the European average in the mountain areas and the Mediterranean region. Over the past 50 years, more frequent and more intense hot extremes have occurred. This trend is expected to continue, while predictions suggest a further temperature increase (of between 2.5°C and 4.0°C) by the end of the century [67,68].
Changes in rainfall show more spatially variable trends across Europe. Annual precipitation changes are already exacerbating differences between the rainy northern part (an increase of 10–40% during the twentieth century) and the dry southern region (a decrease of up to 20%). Heavy rain events have increased in the past 50 years and are projected to become more frequent. Dry periods are expected to increase in length and frequency, especially in southern Europe. Observations for Eurasia and central Europe show more temperature extremes, less summer precipitation, more river floods in winter and higher water temperature [1,67,68]. The European Mediterranean region has become warmer with a significant increase in the frequency, intensity and duration of heatwaves [69,70] in parallel with a decrease in total precipitation. In this area, mutual enhancement (positive feedback) has been identified between droughts and heat waves [70].
(b). Climate change impact on West Nile virus transmission
Since the mid-1990s, outbreaks in humans and horses have been documented in Eurasia (Bucharest in Romania, the Czech Republic, Hungary, and Volgograd in Russia), western Europe (France, Italy, Spain and Portugal) and Israel. The lack of cases in humans in northern Europe is possibly attributed to the feeding behaviour of the predominant vector, Culex pipiens, as well as to other factors, especially climate [71].
In 2010, large outbreaks occurred in northern Greece (Macedonia), in Romania, Hungary, Italy and Spain, in Russia (Volgograd), Turkey and Israel. These outbreaks in humans were accompanied by infections in donkeys in Bulgaria and horses in Morocco, Portugal, southern Italy and Greece. Since then, all subsequent years (2011–2014) were characterized by the re-emergence of WNV in Europe, with human cases noted in almost all eastern, central and southern countries [23,26,72].
The unprecedented upsurge in the number of human WNF cases in summer 2010 was accompanied by extremely hot spells in southeastern Europe and Eurasia [22]. According to the World Meteorological Organization [73], this warming peaked in this past decade ending in 2010, which was also one of the three hottest years ever recorded. An analysis of the climatic drivers of the 2010 outbreak found the ambient temperature to be the most important [22]. The impact of climatic variables on the endemization of WNV in Europe and western Asia has been reviewed recently by Paz & Semenza [23]. They noted that in parts of Europe, climate change resulting in warmer conditions facilitated the establishment of WNV in new areas through an expansion of range and seasonal abundance of vector species and by directly increasing competence for transmission. These insights are reinforced by previous studies from western Asia. A research about the linkage between heatwaves and WNV upsurge in humans in Israel showed that an early extreme rise in temperature in the hot season is a good indicator of increased vector populations [4]. In addition, in their study on the outbreaks in the Volgograd Province in Russia, Platonov et al. [31] showed that the abundance of Culex mosquitoes in an epidemic season is higher in years with a mild winter and a hot summer.
Results for precipitation are less consistent. Papa et al. [74] noted that increased rainfall and humidity (together with high temperatures) have probably favoured the multiplication of Culex species, leading to the occurrence of numerous cases of WNV infection in humans in Central Macedonia in summer 2010. Paz et al. [22] did not detect significant linkages between rainfall amounts and WNV cases in the region; however, they noted that three infected sites—Trapany (Sicily, Italy), Campobasso (Molise, Italy) and Thessaloniki (Greece)—were rainier than usual in July. Precipitation in these areas might have increased the standing water availability, which is an important breeding resource for mosquitoes.
5. North America
(a). Main climatic change observations
Impacts of climate change in North America differ by region, with coastal areas, mountains and flood plains being particularly vulnerable. Generally, during the past 50 years, the average temperature across the USA has risen, while precipitation has increased by an average of about 5%. Some extreme weather events, such as heat- and cold-waves, intense precipitation events and regional droughts, have become more frequent and intense [75–77].
Northwards, Canada has already experienced warming that is disproportionate to global climate change, with average temperatures in some northern regions increasing by more than 2°C. In the Canadian Prairies (where WNV is a significant concern) increase in water scarcity has been observed in parallel with warmer and drier summers [78,79].
The IPCC projects that climatic and weather conditions in North America in the coming decades are likely to include warmer temperatures, shorter winters, increased proportion of precipitation falling as rain rather than snow, increased frequency of heavy rainfall and other extreme weather events. These changes pose risks to public health including the emergence of vector-borne diseases [1,70,77].
(b). Climate change impact on West Nile virus transmission
WNV was first reported in North America in New York City in 1999, when it infected many species of birds as well as humans and other mammals [36]. Later, the virus moved across the continent, reaching Canada and Central America by 2002 and was isolated in California in July 2003 [80]. In fact, WNV became endemic across most temperate regions of North America [12].
The effects of weather fluctuations on WNV transmission in the USA and Canada have been analysed by several researchers who showed that increased temperatures influence North American WNV distribution and play an important role in the maintenance and amplification of human infection [43,81]. Soverow et al. [42] assessed 16 298 human WNF cases from 2001 to 2005 across 17 states in the USA. They found positive associations with increasing temperature over each of the four weeks prior to symptom onset. Specifically, an increase of 5°C in the mean maximum weekly temperature was associated with a significant 32–50% higher incidence of reported WNF infection.
In a study in Georgia, temperature was found to be among the most important variables in predicting the distribution of WNV [82]. Warm temperature was associated statistically with higher human infection risk in Connecticut [83], with the virus spread into western states and with county-level mosquito infectivity in California [32].
Higher winter temperatures and a warmer spring might lead to larger summer mosquito populations [60]. In their study in Illinois, Kunkel et al. [39] showed a correlation between the number of days when daily maximum temperature exceeded a threshold, the timing of a seasonal shift to a higher proportion of C. pipiens among all Culex species, and the onset of the amplification phase of seasonal WNV transmission.
In a modelling research in the urban landscape of Chicago, spatial and statistical techniques were used to analyse and forecast fine-scale spatial and weekly patterns of WNV mosquito infection relative to changing weather conditions. The temperature was found to be the main factor that mediates the magnitude and timing of the increased minimum infection rate within the season. It was also strongly indicated as a key factor for explaining much of the observable differences between years while the effect of increased temperature on minimum infection rate was especially strong within a week [36].
Temperature has been linked to the rate of virus evolution. A more quickly replicating virus spurred by warmer conditions precedes an increase in mosquito infection [59,84]. It was detected that warmer temperatures facilitated the displacement of the WNV NY99 genotype by the WN02 genotype [30]. In a study in suburban Chicago, Bertolotti et al. [85] discovered high genetic variation of WNV at fine temporal and spatial scales, while variation in local temperature was offered as one explanation for this.
As the impact of precipitation in WNV transmission is more indirect, the findings regarding North America are inconsistent in particular when the analyses include different vectors [36,42,86]. For instance, the population size of C. pipiens (the primary enzootic and epidemic vector in the eastern USA north of 36° N) is often impacted negatively by large rain events due to the flushing of catch basins [57]. By contrast, the vector C. tarsalis generally responds positively to heavy precipitation, which provides the typical larval habitat in rural areas in the western part of the USA [87,88].
Regional trends showed that prior drought contributed to the initial USA WNV outbreak [86,89]. Drought conditions can increase the abundance of some vector populations in semi-permanent wetlands as they result in more larval breeding sites with fewer competitors and mosquito predators [58].
In Florida, spatial and temporal differences in periods of drought and rain were associated with human WNF cases and infection of sentinel chickens. Springtime drought followed by a wet summer was found to be a good predictor of WNV incidence in humans. Close proximity of birds and mosquito vectors during times of drought was detected as responsible for the increased virus transmission [56,59,84].
Using county-level precipitation and human WNV incidence data (2002–2004), Landesman et al. [52] tested the impacts of above- and below-average rainfall on the prevalence of WNF in human populations both within and between years. Although the mechanism is not fully understood, the authors found evidence that human WNV incidence is most strongly associated with annual precipitation from the preceding year and noted that human outbreaks of WNV are preceded by above-average rainfall in the eastern USA and by below-average rainfall on the western side in the previous year. In the western USA, primary vectors of WNV include species such as C. tarsalis [90], which are likely to undergo outbreaks following years of low rainfall as a result of changes in food-web structure. As the abundance of mosquito larvae is often limited by predators and competitors, in years following a drying event, both efficient mosquito predators and mosquito competitors are rare [58]. Instead, many of the important WNV vectors in the eastern USA (e.g. C. pipiens, Culex restuans) breed in natural and artificial containers [14] where increased rainfall might lead to a larger population of overwintering mosquitoes by increasing the number of available larval habitats [52].
In a large study in the USA, one or more days per week of heavy precipitation (defined as greater than or equal to 50 mm in a single day) were associated with a 33% higher incidence of reported WNV infection during the same week, while the incidence remained elevated in the subsequent two weeks [42].
According to the Centers for Disease Control and Prevention (CDC) [91], the recent unusually mild winters, early springs and early summers aided transmission of the virus in Texas in the summer of 2012. This outbreak was attributed in part to drought conditions, which reduced water flow and created stagnant water pools ideal for breeding mosquitoes [92].
As mentioned in §3(d), it has been proposed that winds serve as dispersal mechanisms for mosquitoes and the arboviruses they transmit. Reisen et al. [64] mentioned that high barometric pressure conditions over Nevada during the summer of 2003 created a persistent clockwise airflow pattern from Colorado into southeastern California through Arizona and northern Mexico. They suggested that, based on surveillance in Arizona during 2003, which detected WNV in concurrence with that in southeastern California, it is reasonable to assume that a climate-driven mechanism brought the virus south-west from the Colorado epicentre.
In Canada, WNV is a significant concern for public health and wildlife conservation in the Canadian Prairies, one of the most highly endemic regions in North America [93]. In that region, the mosquito species C. tarsalis Coquillett, whose distribution is determined by temperature and precipitation [94], is the principal vector for WNV [95].
Laboratory experiments demonstrate that the temperature threshold for survival of C. tarsalis is generally between 14°C and 35°C, and within this range, temperature is positively correlated with the development rate of the vector [44,96]. In a recent study, Chen et al. [93] integrated empirically derived, biologically relevant temperature thresholds for C. tarsalis survival and WNV development, using statistical models to predict the effects of climate change on the distribution and abundance of C. tarsalis and WNV in the Canadian Prairies. Their results suggest that the predicted mean monthly temperatures will not exceed the upper threshold for survival of adult female C. tarsalis, whereas the temporal and spatial distribution of WNV will remain determined primarily by the lower temperature limitation for WNV amplification. The authors expect that elevated temperatures will increase the infection rate of WNV in C. tarsalis, especially in the southern part of the Canadian Prairies without a compensatory increase in mosquito mortality [93].
6. Australia
(a). Main climatic change observations
The Australian continent is characterized by climate variability. Overall, each decade in Australia since the 1950s has been warmer than its predecessor, while the annual average of the daily mean temperature has increased by 0.9°C since 1910. A general trend towards increased spring and summer monsoonal rainfall across northern Australia and decreased late autumn and winter rainfall across the south have been observed [97].
(b). Climate change impact on West Nile virus transmission
The Kunjin virus (WNVKUN), which is spread by the bite of infected mosquitoes, is the Australian subtype of WNV. The main mosquito associated with the virus spread is Culex annulirostris that breeds in fresh water environments. Although only a small number of cases are reported annually, the virus is known to occur in many parts of Australia, particularly in the tropical northern regions. WNVKUN is less virulent than the current USA strain of WNV. Infection rarely causes disease in humans and most infected people do not develop any symptoms [98,99].
In 2011, a highly pathogenic strain caused an unprecedented outbreak of acute equine encephalitis leading to the isolation of the first virulent strain of WNVKUN. This eruption followed extensive flooding across eastern Australia that promoted ideal conditions for freshwater C. annulirostris mosquito breeding [100]. Indeed, these mosquitoes require an increase in precipitation amount to ensure larval habitat and to maintain humidity for adult survival [101].
In addition, changes in temperature affect the transmission of WNVKUN. In a warmer climate, C. annulirostris populations are expected to commence activity and reach high levels of abundance earlier, and maintain them longer. The season of arbovirus activity might be prolonged, with potential transmission increase [101]. Moreover, as a result of temperature increase, the vectors are expected to move further south into currently cooler regions because summer temperatures in southern areas will be more adequate for initiating and maintaining the virus amplification [102,103].
7. South America
The recent IPCC report [1] indicated an overall increase in warm days and heatwaves in South America, and more regions where more precipitation increase than decrease was observed, with spatially varying trends. However, owing to lack of data and studies in South America, there is medium to low confidence regarding climate change observations in the continent [104].
Studies on the impact of climate change on WNV spreading in South America are limited. The southward dissemination of WNV into the Caribbean and Central and South America is attributed to migratory birds. WNV was first detected in 2001 in Jamaica and the Cayman Islands. Cross-reactive WNV antibodies in humans have been detected in Mexico, the Bahamas and Cuba [105]. In 2006, four serologically confirmed human WNF encephalitis cases were reported in Argentina [106]. Serologic evidence of WNV infection in horses was reported in Guadalupe, Mexico, Puerto Rico and Colombia. Resident birds tested positive for antibodies to WNV in the Dominican Republic and Venezuela [105]. Recently, WNV antibodies were identified in several horses and birds in Brazil [107]. Although extensive, the spread has not been accompanied by notable avian mortality or disease in humans or horses in Latin America and the Caribbean [71], although the main concern is the absence of data on the disease burden in people, horses or birds [108].
8. Discussion
The recent Fifth Assessment Report of the IPCC [1] presents stronger evidence than previously that multiple components of the Earth's climate system are changing. Global average air temperature has risen by around 0.85°C since 1880 and each decade has been warmer than its predecessor [1]. Although climate change impacts vary by region, it is well established that it influences the distribution of vectors, pathogens of vector-borne diseases and the habitat suitability for vectors. Climate change also contributes to the expansion and shifting of endemic regions [10,109].
WNV is the most widely distributed known arbovirus in the world. The factors that explain this extensive distribution are complex and include the interactions between the vector, virus and host as well as climatic factors. Changes in climatic patterns affect WNV transmission directly through relations between the pathogen, host and vector (e.g. virus replication rate within the mosquito), and indirectly via changes in ecosystem characteristics (such as water temperature).
According to Reisen et al. [32], WNV tended to disperse into new areas during years with above-normal summer temperatures while the amplification during the following year occurred in summers with above-normal or normal temperatures. This insight was evidenced recently in Europe and western Asia, when the outbreaks in the summers of 2011–2013 occurred in most of the same disease locations as in 2010, which was an extremely hot year [22,72]. Another example appeared in the northern USA when the increasing occurrences of warmer weather patterns lead to increased incidence of WNV infections [110].
Based on the above review, it is suggested that recent variations in climatic conditions, particularly increased ambient temperature and fluctuations in rainfall amounts, contributed to the maintenance (endemization process) of WNV in various locations in southern Europe, western Asia, the eastern Mediterranean, the Canadian Prairies, parts of the USA and Australia. Limited knowledge is available regarding climatic changes in South America and Africa. However, based on the aforementioned insights, it is reasonable to expect that global and continental warming will contribute to the risk of WNV outbreaks in these continents also.
Despite the existence of surveillance systems in several countries, outbreaks appear to be temporally and spatially unpredictable [55]. The prediction of WNV spread and eruption is challenging as it propagates via a complex of interrelationships. This notwithstanding, several statistical and mathematical models have recently attempted to predict the risk of WNV transmission. Many of them used climatic factors (parameters of temperature and/or rainfall) in their analysis (table 3 summarizes the main recent statistical models that aim to predict WNV transmission/dynamics based on climatic predictors). For instance, a dynamic hydrology model used for predicting mosquito abundance showed that local surface wetness was correlated with the subsequent abundance of mosquito species [56]. A pair of Poisson regression models was developed to examine the extent to which off-season factors, in particular, temperature variables, predict mosquito population size [60]. In a prediction model in the province of Saskatchewan, Canada, precipitation and temperature were important in the prediction of risk of WNV in humans, while decreasing rainfall into July and higher temperatures overall were associated with high-risk areas [111]. In a recent study, Chen et al. [93] used statistical models to predict the effects of climate change on the distribution and abundance of C. tarsalis and WNV in the Canadian Prairies. Indeed, when using epidemiological prediction models, more attention should be paid to the impacts of the changing climate on future transmission of WNV. In a new study, Tran et al. [112] used logistic regression models to analyse the status of infection by WNV in Europe and its neighbouring countries in relation to environmental and climatic risk factors. Temperature, remotely sensed Normalized Difference Vegetation Index and Modified Normalized Difference Water Index (MNDWI) anomalies, as well as population, birds' migratory routes and presence of wetlands were considered as explanatory variables. The anomalies of temperature in July, of MNDWI in early June, the presence of wetlands, the location under migratory routes and the occurrence of a WNF outbreak in the previous year were identified as risk factors. This suggested model can be used for direct surveillance activities and public health interventions in preparation for potential outbreaks in Europe and Eurasia.
Table 3.
reference | study area | study aims to predict: | the most important predictor |
---|---|---|---|
Shaman et al. [56] | mosquito collection from northern New Jersey and meteorological data for Allentown, PA, USA | mosquito (Aedes vexans, Anopheles walkeri and C. pipiens) abundance | surface wetness, positively associated with A. vexans and Anopheles walkeri, negatively associated with C. pipiens |
Walsh et al. [60] | Maryland, USA | mosquito (Aedes sollicitans and Culex salinarius) population size | temperature variables—average maximum temperature, total heating degree-days and the total number of days with a minimum temperature below freezing during the winter months were predictive of mosquito populations |
Epp et al. [111] | province of Saskatchewan, Canada | risk of WNV in humans | higher temperatures overall and decreasing rainfall into July |
Ruiz et al. [36] | urban landscape of Chicago, USA | fine-scale spatial and weekly patterns of WNV mosquito (C. pipiens and C. restuans) infection relative to changing weather conditions | increased air temperature was the strongest temporal predictor |
Chen et al. [93] | Canadian Prairies, Canada | effects of climate change on the distribution and abundance of C. tarsalis and WNV | temperature increase |
Tran et al. [112] | Europe and neighbouring countries | WNV risk in humans | anomalies of temperature in July, Modified Normalized Difference Water Index in early June, presence of wetlands, location under migratory routes and occurrence of a WNF outbreak in the previous year were identified as risk factors |
Open questions remain regarding upcoming impacts of the altering climate on the ecology of WNV, such as adaptation to changing local environments, the ability of hosts to migrate, evolutionary change and disease control efforts [10,113]. These efforts target mainly the protection of human and horse populations, while in most cases they do not impact the WNV ecology such as the bird–vector cycle. Although several studies mentioned in the above review are based on case incidence in human or equine populations, WNV circulation occurs in the bird–mosquito system and in fact, the virus does not require human or equine populations for circulation.
Apart from climatic factors, other drivers contribute to the geographical spread of WNV, such as landscape features and land use, bird migration patterns, the caged bird trade and mosquitoes spread by international transportation. All of these factors and others play an important role in the worldwide dispersion of the pathogen and vector [23,114].
Nevertheless, as climatic factors have significant direct and indirect influences on the WNV endemization, the impacts of the changing climate have to be taken into account in any evaluation of WNV transmission in the coming years.
9. Conclusion
Recent climatic changes, particularly the increase in ambient temperature and fluctuation in rainfall amounts, have contributed to the endemization of WNV in various locations around the world. As predictions show that the current trends are expected to continue, for better preparedness, any assessment of future transmission of WNV should take into consideration the impacts of climate change.
References
- 1.IPCC 2013. Climate change 2013: the physical science basis summary for policymakers. See http://www.climatechange2013.org/images/uploads/WGI_AR5_SPM_brochure.pdf.
- 2.Walther G, Post E, Convey P, Menzel A, Parmesan C, Beebee TJ, Fromentin J, Hoegh-Guldberg O, Bairlein F. 2002. Ecological responses to recent climate change . Nature 416, 389–395. ( 10.1038/416389a) [DOI] [PubMed] [Google Scholar]
- 3.Patz JA, Campbell-Lendrum D, Holloway T, Foley JA. 2005. Impact of regional climate change on human health . Nature 438, 310–317. ( 10.1038/nature04188) [DOI] [PubMed] [Google Scholar]
- 4.Paz S. 2006. The West Nile virus outbreak in Israel (2000) from a new perspective: the regional impact of climate change . Int. J. Environ. Health Res. 16, 1–13. ( 10.1080/09603120500392400) [DOI] [PubMed] [Google Scholar]
- 5.Semenza JC, Menne B. 2009. Climate change and infectious diseases in Europe . Lancet Infect. Dis. 9, 365–375. ( 10.1016/S1473-3099(09)70104-5) [DOI] [PubMed] [Google Scholar]
- 6.Tabachnick W. 2010. Challenges in predicting climate and environmental effects on vector-borne disease episystems in a changing world . J. Exp. Biol. 213, 946–954. ( 10.1242/jeb.037564) [DOI] [PubMed] [Google Scholar]
- 7.Ebi KL, Lindgren E, Suk JE, Semenza JC. 2013. Adaptation to the infectious disease impacts of climate change. Clim. Change 118, 355–365. ( 10.1007/s10584-012-0648-5) [DOI] [Google Scholar]
- 8.Rogers D, Randolph S. 2006. Climate change and vector-borne diseases . Adv. Parasitol. 62, 345–381. ( 10.1016/S0065-308X(05)62010-6) [DOI] [PubMed] [Google Scholar]
- 9.IPCC 2007. Climate change: Working Group II: Impacts, adaptation and vulnerability. Executive summary. Chapter 8: Human health See http://www.ipcc.ch/publications_and_data/ar4/wg2/en/ch8s8-es.html.
- 10.Lafferty KD. 2009. The ecology of climate change and infectious diseases . Ecology 90, 888–900. ( 10.1890/08-0079.1) [DOI] [PubMed] [Google Scholar]
- 11.Randolph SE. 2009. Perspectives on climate change impacts on infectious diseases . Ecology 90, 927–931. ( 10.1890/08-0506.1) [DOI] [PubMed] [Google Scholar]
- 12.May FJ, Davis CT, Tesh RB, Barrett AD. 2011. Phylogeography of West Nile virus: from the cradle of evolution in Africa to Eurasia, Australia, and the Americas . J. Virol. 85, 2964–2974. ( 10.1128/JVI.01963-10) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Petersen LR, Brault AC, Nasci RS. 2013. West Nile virus: review of the literature . JAMA 310, 308–315. ( 10.1001/jama.2013.8042) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Turell MJ, Dohm DJ, Sardelis MR, O'guinn ML, Andreadis TG, Blow JA. 2005. An update on the potential of North American mosquitoes (Diptera: Culicidae) to transmit West Nile virus . J. Med. Entomol. 42, 57–62. ( 10.1603/0022-2585(2005)0420057:AUOTPO]2.0.CO;2) [DOI] [PubMed] [Google Scholar]
- 15.Kilpatrick AM, Kramer LD, Campbell SR, Alleyne EO, Dobson AP, Daszak P. 2005. West Nile virus risk assessment and the bridge vector paradigm . Emerg. Infect. Dis. 11, 425–429. ( 10.3201/eid1103.040364) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hamer GL, Kitron UD, Brawn JD, Loss SR, Ruiz MO, Goldberg TL, Walker ED. 2008. Culex pipiens (Diptera: Culicidae): a bridge vector of West Nile virus to humans . J. Med. Entomol. 45, 125–128. ( 10.1603/0022-2585(2008)45125:CPDCAB]2.0.CO;2) [DOI] [PubMed] [Google Scholar]
- 17.McLean RG, Ubico SR, Docherty DE, Hansen WR, Sileo L, McNamara TS. 2001. West Nile virus transmission and ecology in birds . Ann. N.Y. Acad. Sci. 951, 54–57. ( 10.1111/j.1749-6632.2001.tb02684.x) [DOI] [PubMed] [Google Scholar]
- 18.Dohm DJ, O'Guinn ML, Turell MJ. 2002. Effect of environmental temperature on the ability of Culex pipiens (Diptera: Culicidae) to transmit West Nile virus . J. Med. Entomol. 39, 221–225. ( 10.1603/0022-2585-39.1.221) [DOI] [PubMed] [Google Scholar]
- 19.Dauphin G, Zientara S, Zeller H, Murgue B. 2004. West Nile: worldwide current situation in animals and humans . Comp. Immunol. Microbiol. Infect. Dis. 27, 343–355. ( 10.1016/j.cimid.2004.03.009) [DOI] [PubMed] [Google Scholar]
- 20.Ruiz M, Walker E, Foster E, Haramis L, Kitron U. 2007. Association of West Nile virus illness and urban landscapes in Chicago and Detroit . Int. J. Health Geogr. 6, 10 ( 10.1186/1476-072X-6-10) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.CDC 2015. West Nile virus—transmission. See http://www.cdc.gov/westnile/transmission/.
- 22.Paz S, et al. 2013. Permissive summer temperatures of the 2010 European West Nile fever upsurge . PLoS ONE 8, e56398 ( 10.1371/journal.pone.0056398) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Paz S, Semenza JC. 2013. Environmental drivers of West Nile fever epidemiology in Europe and Western Asia: a review . Int. J. Environ. Res. Public Health 10, 3543–3562. ( 10.3390/ijerph10083543) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Campbell GL, Marfin AA, Lanciotti RS, Gubler DJ. 2002. West Nile virus . Lancet Infect. Dis. 2, 519–529. ( 10.1016/S1473-3099(02)00368-7) [DOI] [PubMed] [Google Scholar]
- 25.CDC 2015 FAQ: general questions about West Nile virus See http://www.cdc.gov/westnile/faq/genQuestions.html.
- 26.Sambri V, et al. 2013. West Nile virus in Europe: emergence, epidemiology, diagnosis, treatment, and prevention . Clin. Microbiol. Infect. 19, 699–704. ( 10.1111/1469-0691.12211) [DOI] [PubMed] [Google Scholar]
- 27.Nash D, et al. 2001. The outbreak of West Nile virus infection in the New York City area in 1999 . N. Engl. J. Med. 344, 1807–1814. ( 10.1056/NEJM200106143442401) [DOI] [PubMed] [Google Scholar]
- 28.Petersen LR, Hayes EB. 2008. West Nile virus in the Americas . Med. Clin. North Am. 92, 1307–1322. ( 10.1016/j.mcna.2008.07.004) [DOI] [PubMed] [Google Scholar]
- 29.Lindsey NP, Staples JE, Lehman JA, Fischer M. 2010. Surveillance for human west Nile virus disease—United States, 1999–2008 . MMWR Surveill. Summ. 59, 1–17. [PubMed] [Google Scholar]
- 30.Kilpatrick AM, Meola MA, Moudy RM, Kramer LD. 2008. Temperature, viral genetics, and the transmission of West Nile virus by Culex pipiens mosquitoes . PLoS Pathog. 4, e1000092 ( 10.1371/journal.ppat.1000092) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Platonov AE, Fedorova MV, Karan LS, Shopenskaya TA, Platonova OV, Zhuravlev VI. 2008. Epidemiology of West Nile infection in Volgograd, Russia, in relation to climate change and mosquito (Diptera: Culicidae) bionomics . Parasitol. Res. 103, 45–53. ( 10.1007/s00436-008-1050-0) [DOI] [PubMed] [Google Scholar]
- 32.Reisen WK, Fang Y, Martinez VM. 2006. Effects of temperature on the transmission of West Nile virus by Culex tarsalis (Diptera: Culicidae) . J. Med. Entomol. 43, 309–317. ( 10.1603/0022-2585(2006)0430309:EOTOTT]2.0.CO;2) [DOI] [PubMed] [Google Scholar]
- 33.Kinney RM, Huang CY, Whiteman MC, Bowen RA, Langevin SA, Miller BR, Brault AC. 2006. Avian virulence and thermostable replication of the North American strain of West Nile virus . J. Gen. Virol. 87, 3611–3622. ( 10.1099/vir.0.82299-0) [DOI] [PubMed] [Google Scholar]
- 34.Andrade CC, Maharaj PD, Reisen WK, Brault AC. 2011. North American West Nile virus genotype isolates demonstrate differential replicative capacities in response to temperature . J. Gen. Virol. 92, 2523–2533. ( 10.1099/vir.0.032318-0) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Paz S, Albersheim I. 2008. Influence of warming tendency on Culex pipiens population abundance and on the probability of West Nile Fever outbreaks (Israeli case study: 2001–2005) . EcoHealth 5, 40–48. ( 10.1007/s10393-007-0150-0) [DOI] [PubMed] [Google Scholar]
- 36.Ruiz MO, et al. 2010. Local impact of temperature and precipitation on West Nile virus infection in Culex species mosquitoes in northeast Illinois, USA . Parasites Vectors 3, 1–16. ( 10.1186/1756-3305-3-19) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Cornel AJ, Jupp PG, Blackburn NK. 1993. Environmental temperature on the vector competence of Culex univittatus (Diptera: Culicidae) for West Nile virus . J. Med. Entomol. 30, 449–456. [DOI] [PubMed] [Google Scholar]
- 38.Jia Y, et al. 2007. Characterization of a small plaque variant of West Nile virus isolated in New York in 2000 . Virology 367, 339–347. ( 10.1016/j.virol.2007.06.008) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kunkel KE, Novak RJ, Lampman RL, Gu W. 2006. Modeling the impact of variable climatic factors on the crossover of Culex restauns and Culex pipiens (Diptera: Culicidae), vectors of West Nile virus in Illinois . Am. J. Trop. Med. Hyg. 74, 168–173. [PubMed] [Google Scholar]
- 40.El Adlouni S, Beaulieu C, Ouarda TB, Gosselin PL, Saint-Hilaire A. 2007. Effects of climate on West Nile virus transmission risk used for public health decision-making in Quebec . Int. J. Health Geogr. 6, 40 ( 10.1186/1476-072X-6-40) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Liu H, Weng Q, Gaines D. 2008. Spatio-temporal analysis of the relationship between WNV dissemination and environmental variables in Indianapolis, USA . Int. J. Health Geogr. 7, 66 ( 10.1186/1476-072X-7-66) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Soverow JE, Wellenius GA, Fisman DN, Mittleman MA. 2009. Infectious disease in a warming world: how weather influenced West Nile virus in the United States (2001–2005) . Environ. Health Perspect. 117, 1049–1052. ( 10.1289/ehp.0800487) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Hartley DM, Barker CM, Le Menach A, Niu T, Gaff HD, Reisen WK. 2012. Effects of temperature on emergence and seasonality of West Nile virus in California . Am. J. Trop. Med. Hyg. 86, 884–894. ( 10.4269/ajtmh.2012.11-0342) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Reisen WK. 1995. Effect of temperature on Culex tarsalis (Diptera: Culicidae) from the Coachella and San Joaquin valleys of California . J. Med. Entomol. 32, 636–645. [DOI] [PubMed] [Google Scholar]
- 45.Calistri P, Giovannini A, Hubalek Z, Ionescu A, Monaco F, Savini G, Lelli R. 2010. Epidemiology of West Nile in Europe and in the Mediterranean basin . Open Virol. J. 4, 29–37. ( 10.2174/1874357901004020029) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Cotton PA. 2003. Avian migration phenology and global climate change . Proc Natl Acad. Sci. USA 100, 12 219–12 222. ( 10.1073/pnas.1930548100) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Parmesan C, Yohe G. 2003. A globally coherent fingerprint of climate change impacts across natural systems . Nature 421, 37–42. ( 10.1038/nature01286) [DOI] [PubMed] [Google Scholar]
- 48.Mills AM. 2005. Changes in the timing of spring and autumn migration in North American migrant passerines during a period of global warming . Ibis 147, 259–269. ( 10.1111/j.1474-919X.2005.00380.x) [DOI] [Google Scholar]
- 49.Sparks T, Bairlein F, Bojarinova J, Hüppop O, Lehikoinen E, Rainio K, Sokolov L, Walker D. 2005. Examining the total arrival distribution of migratory birds . Glob. Change Biol. 11, 22–30. ( 10.1111/j.1365-2486.2004.00887.x) [DOI] [Google Scholar]
- 50.Marra PP, Francis CM, Mulvihill RS, Moore FR. 2005. The influence of climate on the timing and rate of spring bird migration . Oecologia 142, 307–315. ( 10.1007/s00442-004-1725-x) [DOI] [PubMed] [Google Scholar]
- 51.Nasci RS, et al. 2001. West Nile virus in overwintering Culex mosquitoes, New York City, 2000. Emerg. Infect. Dis. 7, 742–744. ( 10.3201/eid0704.017426) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Landesman WJ, Allan BF, Langerhans RB, Knight TM, Chase JM. 2007. Inter-annual associations between precipitation and human incidence of West Nile virus in the United States . Vector Borne Zoonot. 7, 337–343. ( 10.1089/vbz.2006.0590) [DOI] [PubMed] [Google Scholar]
- 53.Takeda T, Whitehouse CA, Brewer M, Gettman AD, Mather TN. 2003. Arbovirus surveillance in Rhode Island: assessing potential ecologic and climatic correlates. J. Am. Mosq. Control Assoc. 19, 179–189. [PubMed] [Google Scholar]
- 54.Moudy RM, Meola MA, Morin LLL, Ebel GD, Kramer LD. 2007. A newly emergent genotype of West Nile virus is transmitted earlier and more efficiently by Culex mosquitoes . Am. J. Trop. Med. Hyg. 77, 365–370. [PubMed] [Google Scholar]
- 55.Chevalier V, Tran A, Durand B. 2013. Predictive modeling of West Nile virus transmission risk in the Mediterranean Basin: how far from landing? Int. J Environ. Res. Public Health 11, 67–90. ( 10.3390/ijerph110100067) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Shaman J, Stieglitz M, Stark C, Le Blancq S, Cane M. 2002. Using a dynamic hydrology model to predict mosquito abundances in flood and swamp water . Emerg. Infect. Dis. 8, 8–13. ( 10.3201/eid0801.010049) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Koenraadt CJM, Harrington L. 2008. Flushing effect of rain on container-inhabiting mosquitoes Aedes aegypti and Culex pipiens (Diptera: Culicidae). J. Med. Entomol. 45, 28–35. ( 10.1603/0022-2585(2008)4528:FEOROC]2.0.CO;2) [DOI] [PubMed] [Google Scholar]
- 58.Chase JM, Knight TM. 2003. Drought-induced mosquito outbreaks in wetlands . Ecol. Lett. 6, 1017–1024. ( 10.1046/j.1461-0248.2003.00533.x) [DOI] [Google Scholar]
- 59.Shaman J, Day JF, Stieglitz M. 2005. Drought-induced amplification and epidemic transmission of West Nile virus in southern Florida . J. Med. Entomol. 42, 134–141. ( 10.1603/0022-2585(2005)0420134:DAAETO]2.0.CO;2) [DOI] [PubMed] [Google Scholar]
- 60.Walsh AS, Glass GE, Lesser CR, Curriero FC. 2008. Predicting seasonal abundance of mosquitoes based on off-season meteorological conditions . Environ. Ecol. Stat. 15, 279–291. ( 10.1007/s10651-007-0056-6) [DOI] [Google Scholar]
- 61.Mackenzie JS, Gubler DJ, Petersen LR. 2004. Emerging flaviviruses: the spread and resurgence of Japanese encephalitis, West Nile and dengue viruses . Nat. Med. 10, S98–S109. ( 10.1038/nm1144) [DOI] [PubMed] [Google Scholar]
- 62.Sellers R, Maarouf A. 1990. Trajectory analysis of winds and eastern equine encephalitis in USA, 1980–5 . Epidemiol. Infect. 104, 329–343. ( 10.1017/S0950268800059501) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Kay B, Farrow R. 2000. Mosquito (Diptera: Culicidae) dispersal: implications for the epidemiology of Japanese and Murray Valley encephalitis viruses in Australia . J. Med. Entomol. 37, 797–801. ( 10.1603/0022-2585-37.6.797) [DOI] [PubMed] [Google Scholar]
- 64.Reisen W, Lothrop H, Chiles R, Madon M, Cossen C, Woods L, Husted S, Kramer V, Edman J. 2004. West Nile virus in California . Emerg. Infect. Dis. 10, 1369–1378. ( 10.3201/eid1008.040077) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Ji-Guang M, Mei X. 1996. Progress in studies on the overwintering of the mosquito Culex tritaeniorhynchus . Southeast Asian J. Trop. Med. Public Health 27, 810–817. [PubMed] [Google Scholar]
- 66.Bengtsson L, Hodges KI, Roeckner E. 2006. Storm tracks and climate change . J. Clim. 19, 3518–3543. ( 10.1175/JCLI3815.1) [DOI] [Google Scholar]
- 67.EEA-JRC-WHO 2008. Joint report: impacts of Europe's changing climate—2008 indicator-based assessment. Copenhagen, Denmark: European Environment Agency.
- 68.EEA 2012. Climate change, impacts and vulnerability in Europe 2012: indicator-based report. Copenhagen, Denmark: European Environment Agency. [Google Scholar]
- 69.Kuglitsch FG, Toreti A, Xoplaki E, Della-Marta PM, Zerefos CS, Türkeş M, Luterbacher J. 2010. Heat wave changes in the eastern Mediterranean since 1960 . Geophys. Res. Lett. 37, L04802 ( 10.1029/2009GL041841) [DOI] [Google Scholar]
- 70.IPCC 2012. Summary for policymakers. In Managing the risks of extreme events and disasters to advance climate change adaptation. A special report of working groups I and II of the Intergovernmental Panel on Climate Change (eds Field C, et al.), pp. 1–19. Cambridge, UK: Cambridge University Press. [Google Scholar]
- 71.Kramer LD, Styer LM, Ebel GD. 2008. A global perspective on the epidemiology of West Nile virus . Annu. Rev. Entomol. 53, 61–81. ( 10.1146/annurev.ento.53.103106.093258) [DOI] [PubMed] [Google Scholar]
- 72.ECDC 2014. Reported cases of West Nile Virus for the EU and neighbouring countries See http://www.ecdc.europa.eu/en/healthtopics/west_nile_fever/west-nile-fever-maps/pages/index.aspx.
- 73.WMO 2010. Press Release No. 904: 2010 in the top three warmest years, 2001–2010 warmest 10-year period See http://www.wmo.int/pages/mediacentre/press_releases/pr_904_en.html.
- 74.Papa A, et al. 2010. Ongoing outbreak of West Nile virus infections in humans in Greece, July–August 2010 . Euro. Surveill. 15, 19644. [DOI] [PubMed] [Google Scholar]
- 75.Denman KL, et al. 2007. Couplings between changes in the climate system and biogeochemistry. In Climate change 2007: the physical science basis. Contribution of Working Group I to the fourth assessment report of the Intergovernmental Panel on Climate Change (eds Soloman S, et al.), pp. 500–556. Cambridge, UK: Cambridge University Press. [Google Scholar]
- 76.IPCC 2007. Working Group II: Impacts, adaptation and vulnerability. Chapter 14: North America See http://www.ipcc.ch/publications_and_data/ar4/wg2/en/ch14s14-es.html.
- 77.US Environmental Protection Agency. 2012. Climate change adaptation plan See http://epa.gov/climatechange/pdfs/EPA-climate-change-adaptation-plan-final-for-public-comment-2-7-13.pdf. [PubMed]
- 78.Lemmen D, Warren F, Lacroix J. 2008. Synthesis. In From impacts to adaptation: Canada in a changing climate 2007 (eds Lemmen D, Warren F, Lacroix J, Bush E.), pp. 1–20. Ottawa, Canada: Government of Canada. [Google Scholar]
- 79.Ford LB. 2009. Climate change and health in Canada . McGill J. Med. 12, 78. [PMC free article] [PubMed] [Google Scholar]
- 80.Hayes EB, Gubler DJ. 2006. West Nile virus: epidemiology and clinical features of an emerging epidemic in the United States . Annu. Rev. Med. 57, 181–194. ( 10.1146/annurev.med.57.121304.131418) [DOI] [PubMed] [Google Scholar]
- 81.Reisen WK. 2013. Ecology of West Nile virus in North America . Viruses 5, 2079–2105. ( 10.3390/v5092079) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Gibbs SEJ, Wimberly MC, Madden M, Masour J, Yabsley MJ, Stallknecht DE. 2006. Factors affecting the geographic distribution of West Nile virus in Georgia, USA: 2002–2004 . Vector Borne Zoonot. 6, 73–82. ( 10.1089/vbz.2006.6.73) [DOI] [PubMed] [Google Scholar]
- 83.Liu A, Lee V, Galusha D, Slade MD, Diuk-Wasser M, Andreadis T, Scotch M, Rabinowitz PM. 2009. Risk factors for human infection with West Nile virus in Connecticut: a multi-year analysis . Int. J. Health Geogr. 8, 67 ( 10.1186/1476-072X-8-67) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Day JF, Shaman J. 2008. Using hydrologic conditions to forecast the risk of focal and epidemic arboviral transmission in peninsular Florida . J. Med. Entomol. 45, 458–465. ( 10.1603/0022-2585(2008)45458:UHCTFT]2.0.CO;2) [DOI] [PubMed] [Google Scholar]
- 85.Bertolotti L, Kitron UD, Walker ED, Ruiz MO, Brawn JD, Loss SR, Hamer GL, Goldberg TL. 2008. Fine-scale genetic variation and evolution of West Nile Virus in a transmission ‘hot spot’ in suburban Chicago, USA . Virology 374, 381–389. ( 10.1016/j.virol.2007.12.040) [DOI] [PubMed] [Google Scholar]
- 86.DeGroote J, Sugumaran R, Brend S, Tucker B, Bartholomay L. 2008. Landscape, demographic, entomological, and climatic associations with human disease incidence of West Nile virus in the state of Iowa, USA . Int. J. Health Geogr. 7, 19 ( 10.1186/1476-072X-7-19) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Wimberly MC, Hildreth MB, Boyte SP, Lindquist E, Kightlinger L. 2008. Ecological niche of the 2003 West Nile virus epidemic in the northern great plains of the United States . PLoS ONE 3, e3744 ( 10.1371/journal.pone.0003744) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Reisen WK, Cayan D, Tyree M, Barker CM, Eldridge B, Dettinger M. 2008. Impact of climate variation on mosquito abundance in California . J. Vector Ecol. 33, 89–98. ( 10.3376/1081-1710(2008)3389:IOCVOM]2.0.CO;2) [DOI] [PubMed] [Google Scholar]
- 89.Hubálek Z. 2000. European experience with the West Nile virus ecology and epidemiology: could it be relevant for the New World? Viral Immunol. 13, 415–426. ( 10.1089/vim.2000.13.415) [DOI] [PubMed] [Google Scholar]
- 90.Goddard LB, Roth AE, Reisen WK, Scott TW. 2002. Vector competence of California mosquitoes for West Nile virus . Emerg. Infect. Dis. 8, 1385–1391. ( 10.3201/eid0812.020536) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.CDC 2012. Telebriefing on West Nile virus update See http://www.cdc.gov/media/releases/2012/t0822_west_nile_update.html.
- 92.Roehr B. 2012. US hit by massive West Nile virus outbreak centred around Texas . Brit. Med. J. 345, e5633 ( 10.1136/bmj.e5633) [DOI] [PubMed] [Google Scholar]
- 93.Chen CC, Jenkins E, Epp T, Waldner C, Curry PS, Soos C. 2013. Climate change and West Nile virus in a highly endemic region of North America . Int. J Environ. Res. Public Health 10, 3052–3071. ( 10.3390/ijerph10073052) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Jenkins DW. 1950. Bionomics of Culex tarsalis in relation to Western equine encephalomyelitis. Am. J. Trop. Med. 30, 909–916. [DOI] [PubMed] [Google Scholar]
- 95.Yiannakoulias NW, Schopflocher DP, Svenson LW. 2006. Modelling geographic variations in West Nile virus . Can. J. Public Health 97, 374–378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Henn JB, Metzger ME, Kwan JA, Harbison JE, Fritz CL, Riggs-Nagy J, Shindelbower M, Kramer VL. 2008. Development time of Culex mosquitoes in stormwater management structures in California . J. Am. Mosq. Control Assoc. 24, 90–97. ( 10.2987/5644.1) [DOI] [PubMed] [Google Scholar]
- 97.Australian Government, Bureau of Meteorology 2012 State of the Climate. See http://www.csiro.au/Outcomes/Climate/Understanding/State-of-the-Climate-2012.aspx.
- 98.Daffis S, Lazear HM, Liu WJ, Audsley M, Engle M, Khromykh AA, Diamond MS. 2011. The naturally attenuated Kunjin strain of West Nile virus shows enhanced sensitivity to the host type I interferon response . J. Virol. 85, 5664–5668. ( 10.1128/JVI.00232-11) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Queensland Government, Queensland Health 2012. Kunjin Virus Disease, 2012 See http://access.health.qld.gov.au/hid/InfectionsandParasites/ViralInfections/kunjinVirusDisease_fs.asp.
- 100.Frost MJ, et al. 2012. Characterization of virulent West Nile virus Kunjin strain, Australia, 2011 . Emerg. Infect. Dis. 18, 792 ( 10.3201/eid1805.111720) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Russell RC. 1998. Mosquito-borne arboviruses in Australia: the current scene and implications of climate change for human health . Int. J. Parasitol. 28, 955–969. ( 10.1016/S0020-7519(98)00053-8) [DOI] [PubMed] [Google Scholar]
- 102.Jansen CC, Ritchie SA, van den H, Andrew F. 2013. The role of Australian mosquito species in the transmission of endemic and exotic West Nile virus strains . Int. J Environ. Res. Public Health 10, 3735–3752. ( 10.3390/ijerph10083735) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Prow NA. 2013. The changing epidemiology of Kunjin virus in Australia . Int. J Environ. Res. Public Health 10, 6255–6272. ( 10.3390/ijerph10126255) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.IPCC 2013. Climate change 2013: Observations - atmosphere and surface See http://www.climatechange2013.org/images/report/WG1AR5_Chapter02_FINAL.pdf.
- 105.Jacob BG, Chadee DD, Novak RJ. 2011. Adjusting second moment bias in eigenspace using Bayesian empirical estimators, Dirichlet tessellations and worldview I data for predicting Culex quinquefasciatus habitats in Trinidad. J. Geogr. Inform. Syst. 3, 18–49. ( 10.436/jgis.2011.3100) [DOI] [Google Scholar]
- 106.Gubler DJ. 2007. The continuing spread of West Nile virus in the western hemisphere . Clin. Infect. Dis. 45, 1039–1046. ( 10.1086/521911) [DOI] [PubMed] [Google Scholar]
- 107.Ometto T, et al. 2013. West Nile virus surveillance, Brazil, 2008–2010 . Trans. R. Soc. Trop. Med. Hyg. 107, 723–730. ( 10.1093/trstmh/trt081) [DOI] [PubMed] [Google Scholar]
- 108.Komar N, Clark GG. 2006. West Nile virus activity in Latin America and the Caribbean . Rev. Panam. Salud Pública 19, 112–117. ( 10.1590/S1020-49892006000200006) [DOI] [PubMed] [Google Scholar]
- 109.Ostfeld RS. 2009. Climate change and the distribution and intensity of infectious diseases . Ecology 90, 903–905. ( 10.1890/08-0659.1) [DOI] [PubMed] [Google Scholar]
- 110.Ghosh D, Manson SM, McMaster RB. 2010. Delineating West Nile virus transmission cycles at various scales: the nearest neighbor distance–time model . Cartog. Geogr. Inform. Sci. 37, 149–163. ( 10.1559/152304010791232208) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Epp TY, Waldner CL, Berke O. 2009. Predicting geographical human risk of West Nile virus–Saskatchewan, 2003 and 2007 . Can. J. Public Health 100, 344–348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Tran A, Sudre B, Paz S, Rossi M, Desbrosse A, Chevalier V, Semenza JC. 2014. Environmental predictors of West Nile fever risk in Europe. Int. J. Health Geogr. 13, 26 ( 10.1186/1476-072X-13-26) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Pearson RG, Dawson TP. 2003. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Glob. Ecol. Biogeogr. 12, 361–371. ( 10.1046/j.1466-822X.2003.00042.x) [DOI] [Google Scholar]
- 114.Durand B, Lecollinet S, Beck C, Martínez-López B, Balenghien T, Chevalier V. 2013. Identification of hotspots in the European Union for the introduction of four zoonotic arboviroses by live animal trade . PLoS ONE 8, e70000 ( 10.1371/journal.pone.0070000) [DOI] [PMC free article] [PubMed] [Google Scholar]