Research Article

“Ticking Bomb”: The Impact of Climate Change on the Incidence of Lyme Disease

Table 1

Summary statistics from our sample.

VariableObs.MeanStd. dev.Min.Max.

Incidence of Lyme disease7,95641.7576.2401581.15
Avg. temp.: below 5°C7,9560.070.2501
Avg. temp.: 5–7°C7,9560.160.3601
Avg. temp.: 7–9°C7,9560.260.4401
Avg. temp.: 9–11°C7,9560.190.3901
Avg. temp.: 11–13°C7,9560.180.3801
Avg. temp.: 13–15°C7,9560.110.3101
Avg. temp.: above 15°C7,9560.030.1801
Total prcp.: below 70 cm7,9560.050.2201
Total prcp.: 70–120 cm7,9560.200.4001
Total prcp.: 120–170 cm7,9560.270.4401
Total prcp.: 170–220 cm7,9560.220.4201
Total prcp.: 220–270 cm7,9560.150.3501
Total prcp.: above 270 cm7,9560.100.3101
Connecticut7,9560.010.1201
Delaware7,9560.010.0801
Maine7,9560.030.1801
Maryland7,9560.040.1901
Massachusetts7,9560.030.1701
Minnesota7,9560.170.3701
New Hampshire7,9560.020.1401
New Jersey7,9560.040.2001
New York7,9560.120.3201
Pennsylvania7,9560.120.3301
Rhode Island7,9560.010.0901
Vermont7,9560.030.1701
Virginia7,9560.120.3301
West Virginia7,9560.100.2901
Wisconsin7,9560.150.3501

Note: this table presents the summary statistics regarding the sample used in our, not or analysis. Our sample contains 7,956 observations from 468 counties over 17 years (2000–2016). Those counties are from the 15 states considered by the CDC as the states with the highest incidence of LD (over 95 percent of all cases in the United States). All variables with the exception of the incidence of LD are indicator variables taking the value of one if the statement on the far left is valid, and zero otherwise. Hence, the means for those indicator variables represent shares of the total number of observations. For example, 26 percent of the county-year observations have annual average temperature between 7 and 9°C, and 17 percent of the county-year observations come from Minnesota.