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Copyright ©1998 by The Resilience Alliance*

Elisabet Lindgren. 1998. Climate and tickborne encephalitis. Conservation Ecology [online] 2(1): 5. Available from the Internet. URL: http://www.consecol.org/vol2/iss1/art5/

A version of this article in which text, figures, tables, and appendices are separate files may be found by following this link.


Research

Climate and Tickborne Encephalitis

Elisabet Lindgren


Stockholm University




ABSTRACT

Climatic changes are projected to alter the abundance, dynamics, and geographical distribution of many vector-borne diseases in human populations. Tick-borne diseases such as Lyme disease and tick-borne encephalitis (TBE) are a growing concern in northern Europe and the United States. The impact of a future climate change on the transmission of tick-borne diseases is not known. To make such assumptions, more empirical data are needed on the relations between short-term fluctuations in contemporary weather and disease incidence. This paper analyzes relations between daily minimum and maximum temperatures, monthly precipitation, and TBE incidence during a 36-yr period in Stockholm County, a high-endemic region for TBE in Sweden. Multiple regression analyses were performed, with temperature variables expressed as number of days per winter or spring - summer - fall season with temperatures above, below, or in the interval between different temperature limits. The limits used for daily minimum temperatures represent bioclimatic thresholds of importance for pathogen transmission. To adjust for the length of the tick's life cycle, each TBE incidence rate was related to meteorological data over two consecutive years. Results reveal that increased incidence of tick-borne encephalitis is related to a combination of two successive years of more days with temperatures permitting prolonged seasonal tick activity and, hence, pathogen transmission (i.e., daily minimum temperatures above 5ºC-10ºC), and a mild winter preceding the year before the incidence year (i.e., fewer winter days with minimum temperatures below -7ºC). Alternative explanations of the results are discussed. Findings of this study suggest that a climate change may extend the seasonal range and intensify the endemicity of tick-borne diseases, in particular, at northern latitudes.

KEY WORDS: Encephalitis; tickborne; Tickborne diseases; Temperature; Climate; Ticks.


INTRODUCTION

Climatic changes are expected to have an impact on the incidence, seasonal range, and geographical distribution of several vector-borne diseases in humans, including malaria, dengue fever, lymphatic filariasis, and several arboviruses (Levins et al. 1994, Matsuoka and Kai 1994, Reeves et al. 1994, Martens et al. 1995, 1997, Martin and Lefebvre 1995, IPCC 1996a, McMichael et al. 1996, Patz et al. 1996).

The human contribution to the atmospheric concentration of greenhouse gases is predicted to cause an increase in global mean temperature of 1 - 3.5ºC by late in the next century (IPCC 1996b). The magnitude of alterations in temperature and precipitation patterns will differ regionally. The largest increases in surface temperatures are predicted to occur at high northern latitudes (Maskell et al. 1993, IPCC1996b). Over the next 50 yr, the annual mean temperature is expected to increase by 1.5 - 2.5ºC in the northern parts of Europe and the United States (Hadley Center 1995).

Ticks are the main human disease vectors at higher northern latitudes. Tick-borne diseases are a growing concern in both Europe and the United States. The different symptoms of what was later to be named Lyme disease were described in Europe during the turn of this century. A link to tick bites was suggested during the 1920s and 1930s, but the disease did not come into focus until after an outbreak in Connecticut in the nid-1970s, and the causative pathogen was identified some years later. During the 1990s, the incidence of Lyme disease increased rapidly in the Northern Hemisphere. Tick-borne encephalitis (TBE) is caused by a flavivirus with at least two subtypes: the Central European subtype and the Far Eastern, or Russian spring - summer encephalitis (RSSE) subtype. The latter consists of several subtypes prevalent worldwide, such as Louping ill in Scottland, Ireland, and Norway, Omsk hemorraghic fever in Siberia, Kyasanur forest disease in India, and Powassan in North America (Murphy et al. 1995). TBE has been known in Europe since the 1930s. Still rare, but severe and lethal, TBE is an increasing problem. There are indications that a tick-borne encephalitis-like virus has established itself in ticks in the United States (Telford et al. 1997).

Changes in the macro- and microclimate may influence transmission of Lyme disease and TBE through impact on the life cycle dynamics of the tick, the tick habitat, and the host animals, as well as through changes in human behavior and human-vector-host animal interactions (Cederlund 1981, Dobson and Carper 1993, Jaenson et al. 1994, Kaiser 1995, Lindsay et al. 1995) (Fig. 1).


FIG. 1. Schematic illustration of the relation between climate and the transmission of tick-borne diseases in humans. In this study, the different direct and indirect climate-dependent interactions, here shown within the yellow field, have been treated as a black box.

GIF image file (25 K)


The north-European vector for both Lyme disease and TBE is Ixodes ricinus, a close relative of the North American carrier of Lyme disease, Ixodes scapularis (also known as Ixodes dammini) (Jaenson et al. 1994). The life cycle of I. ricinus stretches over 2 - 3 yr, on average, but may be prolonged up to 6 yr, in some cases, in cold regions where ticks may hibernate even during some spring - summer - fall periods (Balashov 1972, Real 1996). Three out of four development stages, larva, nymph, and adult tick, are blood-sucking. The pathogens can be transmitted transovarially, although the larvae are rarely infected before the first blood meal (Ostfeldt 1997) (Fig. 2).


FIG. 2. The tick's life cycle in relation to transmission of tick-borne encephalitis virus (TBEV). The approximate timing of tick metamorphosis is illustrated in relation to potential virus transmissibility between ticks, reservoir, and host animals. The figure shows a generalized 2-yr life cycle, although the average life cycle is 2-3 yr, with one year for each blood-sucking development stage. The concentration of TBEV in ticks in endemic regions varies between <1% and 4%, depending on geographical location and tick stage (WHO meeting 1986). The adult female is more frequently infected than the nymphs and especially the larvae, but nymphs are more abundant and contribute grossly to transmission of the disease to humans. TBE virus transmission in nature is mainly maintained between I. ricinus and small rodents like the Scandinavian long-tailed wood and field mice, which are effective blood reservoirs for the virus, due to a high reproductive rate and a prolonged viremia. Small vertebrates are preferred hosts of larvae and nymphs. Larger mammals like cattle and roe deer serve as blood meals for the adult female tick, in particular, but also for the nymphs (Jaenson et al. 1994). These animals are poor TBE blood reservoirs, as the period of viremia is too short. In some cases, the virus may be transferred from an infected tick that is co-feeding on the same host animal as an uninfected tick (Randolph et al. 1996). Humans are accidental dead-end hosts. The TBE virus hibernates mainly in ticks and, to a lesser extent, in hedgehogs, bats, and other small vertebrates.

A mild winter may allow more ticks, as well as host and reservoir animals, to survive. This means easier access to blood meals for the ticks, increased tick population abundance, and a faster pathogen transmission rate. With an early arrival of the spring and /or a late arrival of the next winter, the ticks will be active for an extended period. In late autumn, the population of the older, more cold-resistant tick stages will be large. This will increase the chance of survival for another winter. If the following spring and fall seasons are prolonged due to a rise in daily minimum temperatures, the risk for a human to be bitten by an infected tick will increase.

GIF image file (11 K)


The northern distribution limit for ticks in Europe lies within the Swedish border. Sweden is situated between latitude 55ºN and 69ºN. Because of the warm North Atlantic Current, the climate in the tick-borne disease-infested parts of the country resembles the climate in states like Washington, Minnesota, and Connecticut in the United States.

Sweden has had an excellent national registration of TBE cases since the late 1950s. According to McMichael et al. (1996), empirical studies on relations between natural fluctuations in contemporary weather and disease incidence are needed to provide basic data for analogue estimates of future impacts of a climate change on tick-borne disease transmission. This study analyzes possible relationships between seasonal variation in temperature and precipitation and changes in TBE incidence in a high-endemic region in Sweden. The study is based on daily minimum and maximum temperatures, monthly precipitation, and disease incidence data during a 36-yr period. Temperature and precipitation variables were adjusted to the length of the tick's life cycle and to bioclimatic thresholds of importance for disease transmission. Multiple regressions were used for the statistical analyses. This is probably the first time that reliable incidence data of a tick-borne disease have been related to meteorological data over several decades. Based on the results, possible reasons behind the correlation between climate and TBE are discussed. We conclude that it is most likely that a temperature increase will exacerbate the incidence and will extend the season of the vector-borne disease, TBE.


METHODS

Incidence data and study region

TBE requires higher tick population abundance than does Lyme disease for successful pathogen transmission to humans. In the endemic region, 1 - 4% or less of the ticks are infected with TBE, whereas the same rate for Lyme disease is 3 - 23% (WHO meeting 1986, Gustafson 1994). Only one tick bite out of 600 has been shown to produce clinical symptoms in high-endemic TBE regions, in contrast to one out of 150 bites for Lyme disease (Gustafson et al. 1990, 1992). Therefore, TBE has a more restricted geographical distribution than Lyme disease in Sweden (Holmgren and Forsgren 1990, Berglund et al. 1995), with the highest abundance within Stockholm County (Fig. 3).


FIG. 3. Number of serologically confirmed TBE cases in Stockholm County (source: Swedish Institute for Infectious Disease Control) during the study period 1960-1995 (lower half of columns), compared with the rest of the country (upper half of columns). All hospitalized cases of encephalitis in Stockholm County have been tested for TBE virus since the late 1950s, so the increase in number of cases during the study period is a real increase.

GIF image file (16 K)


An epidemic of TBE occurred in 1956 in Stockholm County. Since then, all hospitalized cases of encephalitis in the region have been serologically tested for TBE virus. Verified TBE cases have been registered at the Swedish Institute for Infectious Disease Control (Holmgren and Forsgren 1990). This study consists of all cases of TBE in Stockholm County from 1960 to 1996. The human population in the region has increased from 1.2 to 1.7 x 106 during the study period. The incidence was computed as the number of cases per 10,000 inhabitants per year.

Meteorological data

Slight variations in local climate exist within the study region. After comparing data from three different meteorological stations, we found the Stockholm Meteorological Station (SMS) to be representative of the regional average. From the SMS, we obtained 24-h measurements of daily minimum temperature for the period October 1958 to January 1996, and monthly precipitation data and daily maximum temperatures for the period 1959 to 1995. To adjust for the tick's life length, each annual TBE incidence was related to two years of temperature and precipitation data, including the year of the TBE value (year t) and the year prior to it (year t -1). Temperature variables were expressed as number of days per year with temperatures above, below, or in between different temperature limits.

Vector-borne disease transmission is only possible within the lower and higher bioclimatic temperature thresholds for vector and pathogen activity (Dobson and Carper 1993, McMichael et al. 1996). The lower temperature thresholds are of more importance than the upper limits for tick-transmitted diseases at high northern latitudes. Lower bioclimatic thresholds of interest for pathogen transmission are daily minimum temperatures that allow tick activity and metamorphosis during the spring - summer - fall season (Fig. 2).

Based on previous tick studies, the following temperature limits were chosen for the analyses: 5º, 8º, and 10ºC (Balashov 1972, McEnroe 1977,1984, Daniel 1993, Fujimoto 1994, Clark 1995, Lindsay et al. 1995). Freezing temperatures during the winter season may affect the survival of ticks and reservoir of host animals, with an indirect effect on disease transmission. Tick nymphs and adults, in particular, especially if fed, may resist freezing temperatures well below -7ºC (Smorodintsev 1958, McEnroe 1984, Daniel 1993, Fujimoto 1994, Lindsay et al. 1995). Accordingly, the following freezing temperature limits were analyzed: 0º, -7º, -10º, -12º, and -15ºC.

Precipitation is of indirect interest for pathogen transmission, through impact on the habitat and on tick activity and survival (Knülle and Rudolph 1983, Daniel 1993, Lindsay et al. 1995). Analyses included monthly precipitation during April to October.

Hot Scandinavian summer days promote increased outdoor activities. It has been suggested that such human behavior may result in increased TBE incidence (Kaiser 1995). The Swedish Meteorological and Hydrological Institute, SMHI, defines hot summer days as days with maximum temperatures above 25ºC. This temperature variable was analyzed for the year of possible pathogen transmission, i.e., year t.

Statistics

Data were analyzed using multiple regression with backward selection, using TBE incidence as the dependent variable and meteorological data as the independent variables. These independent variables consisted of: precipitation (in millimeters) during two consecutive spring - summer - fall seasons; number of days with maximum temperature above 25ºC during the incidence year (t); and number of days with minimum temperature in each of five or six intervals during two consecutive years, t and (t-1). For temperatures below the freezing point, year t and (t -1) were represented by corresponding winter seasons. The minimum temperature limits were varied at the upper and lower end in order to investigate whether the results were sensitive to the particular bioclimatic temperature thresholds chosen. The following sets of minimum temperature intervals were analyzed: below -15ºC/-12ºC/-10ºC/-7ºC; between -15ºC/-12ºC/-10ºC and -7ºC; -7ºC to 0ºC; 0ºC to 5ºC; between 5ºC and 8ºC/10ºC; and above 8ºC/10ºC. Accordingly, either 13 or 15 independent variables were used in the analyses. Eight different multiple regressions were performed, including 116 regression analyses in all.

Regressions with forward selection, and nonparametric correlations and tests (Pearson and Spearman) were also performed.


RESULTS

The different multiple regressions all showed that the combination of a milder winter prior to the incidence year (t -1) and two successive years with milder spring and fall seasons was correlated with increases in TBE incidence.

The winter seasons (t -1) were related to increases in TBE incidence for all of the different sets of temperature intervals below -7ºC. No major difference in correlation strength was found when the temperature limits -7º, -10º, -12º, or -15ºC were used. Temperatures below the freezing point in the interval 0º to -7ºC were not related to TBE incidence. No consistent relations were found between any temperatures below the freezing point for the winter season of the incidence year, t.

Increases in TBE incidence were also related to a greater number of days with minimum temperatures above the threshold temperatures for tick activity and metamorphosis (i.e., with 5ºC, 8ºC, 10ºC as the limits) in both year t and (t -1). The variables expressing number of days with minimum temperatures in the intervals above 5ºC were all correlated with each other.

No consistent relation between precipitation and TBE incidence was found in this study. None of the analyses indicated a relation between TBE incidence and warm summer days, represented by number of days with a maximum temperature above 25ºC.

A representative regression analysis for four variables is shown in Table 1. In going from 15 to four explanatory variables, there was a reduction from R2 = 0.55 to R2 = 0.48, with a considerably steeper reduction as more variables were eliminated. The normal distribution assumption was checked by analyzing the residuals, the Q-Q test giving r = 0.994 (n = 36, P >0.25).

Results of the multiple regression with forward selection, as well as the nonparametric correlations and tests, confirmed these relations, but are not presented in depth here.


TABLE 1. Results of regression analysis, which well represent the consistent findings in different multiple regressions of this study. In this regression, the number of days during the winter (t-1) with minimum temperatures between -12º and -7ºC is shown to be significant. The b value is negative for this variable, indicating a relation between a mild winter in (t-1) and an increase in TBE incidence in the year t. The number of days with temperatures below -12ºC was closely correlated with the number of days with temperatures between -12º and -7ºC. For both year t and (t-1), the best correlations with TBE incidence were obtained with 5º -10ºC as the critical interval.

RegressionParameter estimates
r2P VariableB   coefficientT *P
0.480.0003 spring/fall season in year t: 
Between +5ºC and +10ºC0.242.40.02
Above +10ºC0.251.90.07
winter and spring/fall season in year (t -1):
Between -12ºC and -7ºC-0.25-2.70.01
Above +5ºC and +10ºC0.253.40.002


*T = B/Standard error of B; abbreviations used in SPSS for Windows


DISCUSSION

The results showed that milder winters, defined as winters with fewer days with minimum temperatures below -7ºC, were related to increases in TBE incidence a year later. An early arrival of spring and a prolonged fall season during a 2-yr period, represented by an increased number of days per year with minimum temperatures in the intervals above 5ºC, were also shown to enhance the incidence of disease.

It has been projected, and has already been observed in the United States, that, with a shift toward a milder climate, daily minimum temperatures will rise proportionally higher than mean and maximum temperatures (Karl et al. 1993). Results of this study indicate that an increase in seasonal daily minimum temperatures will increase the transmission and extend the season of high-latitude tick-borne diseases.

Regional climate change models estimate a proportionally higher temperature increase during winter at the high northern latitudes (Maskell et al. 1993, IPCC 1996a). Drawing on the findings of this study, it is likely that milder winters will lead to increases in the abundance of TBE in these regions.

No consistent relation was found between precipitation and TBE incidence. Monthly seasonal precipitation is probably too rough an estimate to reflect both the micro- and macroclimate of interest for tick-transmitted diseases.

The strength of the correlations detected may be underestimated. Hundreds of thousands of people living or working outdoors in high-risk locations within Stockholm County have been vaccinated against TBE since a vaccine became available in 1989. Preliminary Austrian data show a 95% effect after adequate initial inoculations, with a need for booster doses every third to fifth year (Immuno AG, Wien). We did not adjust for this in the regression analyses. Neither were snow conditions included, due to great local variations in time and space within the study region. Snow conditions may directly and indirectly affect the vector abundance and, hence, disease incidence, both positively and negatively. Snow cover may partly protect ticks, small host animals, and vegetation, whereas deep snow conditions may be fatal to larger host animals such as roe deer and, in particular, their offspring (Berry 1981, Cederlund 1981, McEnroe 1990).

During the last 13 yr of the study period, a decline in the population abundance of red fox, a major predator of roe deer kids, occurred due to scabies infestation. Simultaneously, winters became considerably milder (Fig. 4). This combination led to a rapid increase in roe deer population density. The roe deer is important for adult ticks and their reproduction, but does not have a direct function in transmitting the TBE virus (Fig. 2). Roe deer population data are not available, but statistics on regional hunting limits show a continuous increase in the number of shot animals, up to a peak in 1994 of three times the 1982 value (Swedish Hunting Association, Box 1, 163 21 Spanga, Sweden). During normal conditions, winter starvation is second to hunting as the major cause of death in the Swedish roe deer population, followed by deaths from predation and diseases (Cederlund and Liberg 1995). To investigate how our results were influenced by the red fox scabies (which led to reduced predation on roe deer), we calculated multiple regressions for the period before the rapid decline in red fox populations, 1960 to 1982. The regressions indicated an even stronger correlation between climate and TBE, with some minor variable differences. The coldest winter temperatures for year (t -1) continued to be important. The spring - summer - fall temperatures showed strong relations with TBE for year (t), but not for year (t -1). The very warm summer days, i.e. , >25ºC maximum temperature, were more strongly (negatively) correlated with TBE in 1960 - 1982. Differences compared to the entire study period may be explained by the relatively colder winters during the pre-scabies period (Fig. 4).


FIG. 4. Histogram showing the mean annual number of days per decade during the study period with minimum freezing temperatures below or in between the different limits used in the multiple regression analyses. The columns at the far right illustrate the period 1983-1995, when the red fox population abundance declined in Sweden due to scabies.

GIF image file (7 K)


Obviously, complex interactions among ticks, host animals such as deer and rodents, habitat availability, and human interference (as discussed by Cederlund 1981, Fruzinski 1983, Anderson and May 1991, Daniel and Kolar 1991, French et al. 1992, Dobson and Carper 1993, Mejlon and Jaenson 1993, Gilot et al. 1994, Jaenson et al. 1994, Buskirk and Ostfeld 1995, Glass et al. 1995, Ostfeld et al. 1995, and Ostfeld 1997), will influence the incidence of TBE. For example, major changes in the functional relationships of ecosystems, such as a decline or increase in host animals, a change in abundance of tick predators, or habitat modifications, may strongly influence tick survival and abundance. In this study, such complex interactions have not been analyzed. They have been treated as a black box. Despite this weakness of the study, significant correlations have been found between climate and TBE, based on detailed data of disease incidence and daily temperatures over a 36-yr period.


SPECULATION

Results of this study suggest that a change toward a milder climate may extend the seasonal range of TBE and intensify established endemicity in regions with interspecies relations and climatic conditions similar to those in Sweden.

The impact of seasonal and interannual weather fluctuations on the transmission of tick-borne diseases might differ, however, from effects caused by long-term shifts in background climate. McMichael et al. (1996) suggested that a prolonged climatic change may alter the interspecies balances and critical points may be exceeded. Ecosystem function and resilience may be altered, resulting in a cascade of changes with other bioclimatic thresholds than the present ones.

This paper has focused on changes in TBE incidence from climatic variations within an endemic region. Mathematical prediction models of the impact of climate change on malaria, dengue fever, and schistosomiasis have projected latitude/altitude shifts in the distribution limits (Martens 1995, Martens et al. 1995, 1997). Based on results of the study presented in this paper, one may assume that a change toward a milder climate will also move the geographical distribution limits of TBE northward. The southern distribution limit of the disease will probably also be affected by a change in climate. However, no such assumptions can be made from the results of this study, because the bioclimatic maximum temperature thresholds were not analyzed.

The findings of this study may have implication for other diseases transmitted by the same, or closely related, tick species. Ticks are known to be potent vectors for a whole range of pathogens, including viruses, bacteria, richettsia, and protozoa, which are of importance in both human and veterinary medicine. Lyme disease is already becoming increasingly prevalent in both Europe (Berglund et al. 1995) and the United States. Zoonotic diseases, such as Erlichiosis and Babesiosis, have recently emerged in humans (Dawson et al. 1996), and a TBE-like virus has been detected in deer ticks in the United States (Telford et al. 1997). Thus, a future change in climate may possibly influence the transmission of both present and emerging tick-borne diseases in regions located at high latitudes and altitudes.


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Acknowledgments

This study was funded by the Swedish Council for Planning and Coordination of Research, the OK Petroleum Environmental Foundation, and the Center for Research on Natural Resources and the Environment, Stockholm University. I would like to thank Dr. Paul R. Epstein of the Harvard Medical School, Boston, United States, for inspiring ideas; Dr Rolf Gustafson of Karolinska Institute at Huddinge University Hospital for support and for making TBE data available; Professor Thomas Polfeldt of Stockholm University, for valuable statistical help; and Prof. Carl Folke, in particular, and Prof. Erik Arrhenius, Prof. Göran Pershagen, and Dr. Lars Tälleklint for constructive comments on the manuscript.


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Address of Correspondent:
Elisabet Lindgren
Natural Resources Management
Department of Systems Ecology
Stockholm University
S-106 91 Stockholm
Sweden
Phone: +46-8-16 12 90
Fax: +46-8-15 84 17
elisa@system.ecology.su.se

*The copyright to this article passed from the Ecological Society of America to the Resilience Alliance on 1 January 2000.

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