Table 1.

Tularemia model coefficients assigned to the six Swedish study counties.

High-Risk County	$\mathbf{Intercept}\left({\mathit{\beta }}_0\right)$	${\mathbf{Tul}}_{\mathbf{lag}}\left({\mathit{\beta }}_1\right)$	$\mathbf{sRMA}\left({\mathit{\beta }}_2\right)$	${\mathbf{ST}}_{\mathbf{lag}}\left({\mathit{\beta }}_3\right)$	$\mathbf{SP}\left({\mathit{\beta }}_4\right)$
Norrbotten	−5.73	1.16	0.20	0.35	0.005
Jämtland	−11.47	0.93	0.75	0.84	0.003
Gävleborg (Ockelbo)	−2.86	−0.19	0.36	0.10	0.010
Gävleborg (Ljusdal)	−7.60	0.09	0.29	0.50	0.009
Dalarna	−10.74	0.37	0.43	0.67	0.008
Värmland	10.11	0.99	0.82	−0.39	−0.014
Örebro	−9.19	0.73	0.75	0.18	0.023

$\beta$: coefficients in the power-law scaling Equation (1); Tul_lag: the annual number of tularemia cases to the preceding-year number of cases; sRMA: standardized relative annual mosquito abundance; ST_lag: summer temperature in the preceding year; SP: summer precipitation in the same year.