Schistosomiasis mansoni incidence data in Rwanda can improve prevalence assessments, by providing high-resolution hotspot and risk factors identification

Table 3 Multiple regression outputs for the relationship between environmental factors and S. mansoni at HFSA and District level

Parameters	B Coeff.	Standard Error	Beta Coeff.	t-value	p-value
HFSA level model
Intercept	−0.697	0.238	–	−2.931	0.004
Sand percentage	−0.004	0.001	−0.366	−3.816	0.000
Rice cropped area	0.001	0.000	0.256	2.692	0.009
log-TSI	0.131	0.041	0.298	3.187	0.002
Rain	0.001	0.000	0.281	2.585	0.012
Temperature	0.028	0.010	0.296	2.832	0.006
District level model
Intercept	1.999	0.906	–	2.207	0.036
Sand percentage	−0.032	0.010	−0.447	−3.216	0.003
Elevation	−0.002	0.000	−0.661	−4.373	0.000
Rain	0.002	0.000	0.657	4.336	0.000

ISSN: 1471-2458