Table 4 Negative binomial regression non-spatial model (Individual malaria data)

Intercept

0.032

<0.001

−3.577, −3.298

Gender

 Male

1.089

0.001

0.035, 0.136

 Female (Ref)

1.000

Age group

  5 to 19

1.236

<0.001

0.136, 0.289

  20 to 39

1.112

0.018

0.018, 0.195

 40 to 59

1.027

0.636

−0.083, 0.135

 60 and above

0.881

0.056

−0.258, 0.002

 0 < 5 years (REF)

1.000

Place of residence

 Village

1.030

0.307

−0.027, 0.088

 Town (Ref)

1.000

Type of health facility

 Health centre

1.088

0.029

0.008, 0.160

 Hospital

1.130

<0.001

0.063, 0.182

 Clinic (Ref)

1.000

Occupation

 Mosquito-infested employees

0.705

<0.001

−0.476, -0.225

 Professionals

0.689

<0.001

−0.571, -0.182

 Small business

0.898

0.004

−0.181, -0.035

 Unemployed

0.894

0.001

−0.181, -0.043

 Youth (REF)

1.000

Slept under mosquito bed net in the last 3 night

 Yes

1.404

<0.001

0.266, 0.414

 No (Ref)

1.000

 Home sprayed in past 12 months

 Yes

0.990

0.718

−0.062, 0.043

 No (Ref)

1.000

District

 Eenhana

1.132

0.115

−0.033, 0.276

 Engela

0.847

0.087

−0.361, 0.020

 Katima - Mulilo

1.010

0.931

−0.215, 0.223

 Nankudu

2.083

<0.001

0.646, 0.821

 Nyangana

2.055

<0.001

0.629, 0.811

 Okongo

1.106

0.356

−0.120, 0.309

 Rundu

1.383

<0.001

0.246, 0.403

 Andara (Ref)

1.000

Season

 Spring

0.808

0.046

−0.428, -0.010

 Summer

0.998

0.946

−0.058, 0.054

 Winter

0.829

<0.001

−0.269, -0.107

 Autumn (Ref)

1.000