Table 6 The association between monthly scrub typhus cases and potential influencing factors by panel negative binomial regression.

From: Spatiotemporal dynamics and environmental determinants of scrub typhus in Anhui Province, China, 2010–2020

Variables(Unit)

Univariate analysis

Multivariate analysis

Crude IRR (95%CI)

p-value

Adjusted IRR (95%CI)

p-value

POP(1000p/km2)*

0.67 (0.63, 0.72)

 < 0.00

1.13 (1.03, 1.24)

 < 0.00

WIN_lag0 (m/s)

0.10 (0.07, 0.15)

 < 0.00

NS (excluded)

 

WIN_lag1(m/s)

0.04 (0.03, 0.05)

 < 0.00

NS (excluded)

 

WIN_lag2 (m/s)

0.10 (0.08, 0.13)

 < 0.00

0.46 (0.32, 0.66)

 < 0.00

WIN_lag3 (m/s)

0.10 (0.07, 0.15)

 < 0.00

0.47 (0.31, 0.70)

 < 0.00

GST_lag0 (℃)

0.95 (0.93, 0.96)

 < 0.00

NS (excluded)

 

GST_lag1 (℃)

1.04 (1.02, 1.05)

 < 0.00

1.14(1.11, 1.16)

 < 0.00

GST_lag2 (℃)

1.09 (1.18, 1.10)

 < 0.00

NS (excluded)

 

GST_lag3 (℃)*

1.08 (1.07, 1.09)

 < 0.00

0.95 (0.94, 0.97)

 < 0.00

PRE_lag0 (dm)

0.99 (0.99, 1.00)

 < 0.00

NS (excluded)

 

PPE_lag1 (dm)

0.99 (0.99, 0.99)

 < 0.00

NS (excluded)

 

PRE_lag2 (dm)

1.00 (1.00, 1.00)

0.40

NS (excluded)

 

PRE_lag3 (dm)

1.00 (1.00, 1.00)

 < 0.00

NS (excluded)

 

PRS_lag0 (hPa)

1.07 (1.06, 1.08)

 < 0.00

NS (excluded)

 

PRS_lag1 (hPa)

1.05 (1.05, 1.06)

 < 0.00

1.03 (1.02, 1.04)

 < 0.00

PRS_lag2 (hPa)

1.02 (1.00, 1.03)

 < 0.00

NS (excluded)

 

PRS_lag3 (hPa)

0.96(0.94, 0.97)

 < 0.00

NS (excluded)

 

RHU_lag0 (1%)

0.98 (0.97, 0.99)

 < 0.00

0.95 (0.94, 0.96)

 < 0.00

RHU_lag1 (1%)

0.99 (0.98, 1.00)

0.38

NS (excluded)

 

RHU_lag2 (1%)

1.03 (1.02, 1.04)

 < 0.00

NS (excluded)

 

RHU_lag3 (1%)

1.04 (1.03, 1.06)

 < 0.00

1.06 (1.05, 1.08)

 < 0.00

SSD_lag0 (h)

0.86 (0.81, 0.91)

 < 0.00

NS (excluded)

 

SSD_lag1 (h)

0.93 (0.89, 0.98)

 < 0.00

0.87 (0.82, 0.91)

 < 0.00

SSD_lag2 (h)

1.16 (1.10, 1.22)

 < 0.00

NS (excluded)

 

SSD_lag3 (h)

1.28 (1.22, 1.35)

 < 0.00

1.39 (1.28, 1.51)

 < 0.00

NDVI#

1.07 (1.06, 1.08)

 < 0.00

1.09 (1.07, 1.11)

 < 0.00

Elevation (m)

0.99 (0.99, 0.99)

 < 0.00

NS (excluded)

 

Slop(°)

0.85 (0.84, 0.87)

 < 0.00

0.92 (0.89, 0.94)

 < 0.00

GDP(100,000RMB)

0.99 (0.99, 0.99)

 < 0.00

NS (excluded)

 
  1. *The variables showed opposite correlations in univariate and multivariate analyses.
  2. NS: Non-significant variables with p-value greater than 0.01.
  3. NDVI#: Its value is equal to NDVI multiplied by 100; POP: Population density.
  4. Factor_lag(k): factor with k-month lag, for example, EVP_lag1 represents EVP with 1-month lag.