The incidence of Lyme disease in Connecticut was positively and significantly correlated with long-term trends in the abundance of nymphal
I. scapularis and the abundance of spirochete-infected ticks from woodland plots in the communities of Old Lyme, Lyme, and East Haddam. This suggests that recent increases in tick abundance may be responsible, in part, for much of the rise in Lyme disease infection in Connecticut, although the tick is also spreading geographically within the state (
11). Trends in tick abundance in these woodlands probably reflected general activity across the state or, at least, in southeastern Connecticut, which has had the highest incidence of Lyme disease. However, in the established foci of Old Lyme, Lyme, and East Haddam, the incidence of Lyme disease increased by 64% from 1995 to 1996, while tick densities increased by only 14%. Annual patterns of tick activity in this study corresponded more closely with Lyme disease in the 12-town area. Unfortunately, the factors that influence the annual abundance of
I. scapularisare poorly understood. The population dynamics of the tick population is complex, and future abundance of
I. scapularis cannot be predicted (
10). Future monitoring of
I. scapularis may be required in other regions of the state in order to accurately assess tick trends in relation to the incidence of Lyme disease. Based upon the abundance of
I. scapularis per hectare in the 12-town region or the abundance of infected ticks (ERI) in the summer of 1997, 2,329 and 1,708 cases of Lyme disease, respectively, might be expected for 1997. However, increased tick activity and reporting of Lyme disease from other portions of the state could increase the incidence of the disease in 1997 above a rate determined by past trends in the 12-town region. For example, the incidence of reported Lyme disease from Windham and Tolland counties in northern Connecticut has increased from 11 and 27 cases per 100,000, respectively, in 1989 to 257 and 155 cases per 100,000, in 1996, which may be a result of increased tick activity. This could be determined from a broader-based surveillance of the abundance of
I. scapularis nymphs in Connecticut.
The relative length of the tick season is another factor in the risk for tick bites. Host-seeking nymphs of
I. scapularis in the northeast begin their activity in May, peak in June, and slowly decline in activity through July and August (
10,
16,
18). Sampling nymphs of
I. scapularis only during the June seasonal peak appears to be an adequate measure of tick abundance in relation to the annual incidence of Lyme disease, but early and late seasonal tick activity will be missed. There was considerable variation in the basic pattern in the level of activity each month through the period of this study. Interestingly, two years, 1992 and 1994, that had a high incidence of Lyme disease not only had a higher peak abundance of nymphal ticks but also had greater tick activity for a longer period. Nymphal-tick activity was extended into August in 1997 as well.
Infection rates were found to vary tremendously among the residential sites in Connecticut, and this may account, in part, for the weak relationship between the lawn ERI and Lyme disease incidence at the local level. The abundance of infected ticks on the lawn more accurately reflected the regional incidence of Lyme disease. Areas of high risk and low risk can be expected between the lawns of individual residences. The lawn is probably where most tick bites are acquired by residents, although only a small proportion (2 to 13%) of the tick population is found there (
9,
14,
18).
The risk for Lyme disease is currently assessed from human case reports, isolation from or detection of Lyme disease borrelliae in mice and ticks, serosurveys of animals, collection of host-seeking
I. scapularis, or collection of ticks attached to deer, mice, or other animals. Each of these methods has inherent biases and limitations in geographical scale. The number of reported human cases as a measure of the true distribution and incidence of Lyme disease is subject to the surveillance case definition and type of surveillance method used. Despite these limitations, the abundance of host-seeking nymphs was closely associated with the incidence of human Lyme disease based upon case reports over an 8-year period in Connecticut. The incidence of Lyme disease at the state and regional levels closely paralleled the abundance of
I. scapularis nymphs and the abundance of spirochete-infected nymphs. The relative abundance of nymphal ticks within the woodland habitat has been a reliable, and independently measured, predictor for Lyme disease at the regional and state levels. Epidemiologically based Lyme disease case reports on regional, state, and national scales appear to reflect real trends in the disease based upon tick activity and spirochetal infection rates, although Lyme disease is clearly underreported (
15). The use of active surveillance of human cases and more intensive sampling of
I. scapularis nymphs may provide a better assessment of risk within an area of endemicity and for the state.