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Table 4 Regression analysis for malaria admission and funding in the year 2009 to 2018

From: Tracking malaria health disbursements by source in Zambia, 2009–2018: an economic modelling study

Regression statistics

Multiple R

0.881493845

R Square

0.777031399

Adjusted R Square

0.331094197

Standard Error

5.422704859

Observations

7

ANOVA

 

df

SS

MS

F

Significance F

Regression

4

204.9542

51.23855

1.742468

0.039622

Residual

2

58.81146

29.40573

  

Total

6

263.7656

   
 

Coefficients

Standard error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

30.12836375

57.64544

0.52265

0.01653

− 217.899945

278.1567

Insecticide treated nets

− 2.02612E−07

1.32E−06

− 0.1536

0.02892

− 5.8782E−06

5.47E−06

Case management

− 2.58188E−06

9.36E-06

0.810269

0.03028

− 3.2679E−05

4.78E−05

Indoor residual spray

− 3.52625E−06

1.73E-06

− 2.04049

0.01781

− 4.0862E−05

3.91E−06

Mass drug administration

− 1.37886E−08

6.58E-07

0.020958

0.04183

− 2.8107E−06

2.84E−06

monitoring & evaluation

−3.77532E−09

5.98E−03

− 2.8287

0.17882

− 1.8634E−08

2.76E−08

Entomological

2.12326E−07

4.26E−05

0.586358

0.05739

−1.9876E−07

1.76E−05

IEC

− 3.65433E−08

2.35E−05

− 1.937635

0.07653

− 2.5642E−09

3.12E−08

  1. Boldface indicates Statistical significance (P < 0.05). Estimates are expressed in OR with 95% CI.
  2. Predictor: US$ 1.0
  3. Health outcome: number per case of malaria admission