Scaling up malaria intervention “packages” in Senegal: using cost effectiveness data for improving allocative efficiency and programmatic decision-making

Table 5 Regression analysis of changes in malaria incidence and mortality over the period of 2013–2014

Variables	Change in incidence*	Change in mortality
Constant	3.93	6.9E−12
	(30.53)	(9.22E−11)
Public provider density	0.93	1.15
	(0.06)	(0.14)
LLIN coverage (possession)	0.46	1.90
	(0.17)**	(1.36)
IPTp coverage	1.24	0.84
	(0.11)**	(0.16)
Rainfall level	1.00	1.001
	(0.0003)***	(0.0007)**
Package categorical variable (change compared to SUFI only)
SUFI + SMC	0.68	0.39
	(0.08)***	(0.08)***
SUFI + IRS	1.03	0.29
	(0.28)	(0.17)**
SUFI + IRS + SMC	0.49	0.12
	(0.14)**	(0.05)***
Log likelihood	− 1283.25	− 390.33
Pseudo R squared	0.1748	0.3128
Prob > chi²	0.000	0.000
Nbr. observations	152	152

* We reported the IRR (incident rate ratio) instead of traditional coefficients. Standard errors are reported in parentheses. ** and *** significance at respectively 5 and 1%

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