Table 3.

The significance of the influence of high or low-temperature ranges on HAdV prevalence in various sampling areas.

Sampling Area	Temperature Range	R2	RMSE	Equation
KSU-WWTP	High	0.641	8.544	% PrevKSU-WWTP = 58.94 − 1.36 × TH ‡
	Low	0.476	10.829	% PrevKSU-WWTP = 40.11 − 1.23 × TL
MN-WWTP	High	0.480	10.885	% PrevMN-WWTP = 55.42 − 1.25 × TH
	Low	0.325	12.924	% PrevMN-WWTP = 30.24 − 0.71 × TL
WH	High	0.007	13.754	% PrevWH = 32.28 − 0.13 × TH
	Low	0.025	16.178	% PrevWH = 34.06 − 0.31 × TL
WN	High	0.011	14.356	% PrevWN = 34.70 − 0.18 × TH
	Low	0.011	14.356	% PrevWN = 32.56 − 0.18 × TL
ANLF	High	0.035	15.652	% PrevANLF = 42.32 − 0.36 × TH
	Low	0.073	15.917	% PrevANLF = 41.43 − 0.54 × TL
IW	High	0.553	10.414	% PrevIW = 62.69 − 1.38 × TH
	Low	0.476	12.145	% PrevIW = 46.09 − 1.38 × TL

% Prev denotes HAdV prevalence percentage at different locations. RMSE refers to the root mean squared error, which is an absolute measure of fit. ^‡ T_H represents the highest temperature, whereas T_L denotes the lowest temperature.