Skip to main content

Table 3 Logistic regression models of demographic and hematological factors as individual predictors of DENV infection

From: Maintenance of demographic and hematological profiles in a long-lasting dengue fever outbreak: implications for management

  

Dataset

    

Factors

Statistics

All

s1

s2

s3

s4

Sex

βo

0.774

0.392

1.276

0.928

0.649

 

β1

0.226

0.160

−0.288

0.325

0.660

 

OR

1.254

1.173

0.750

1.384

1.934

 

CL-

0.8352

0.5494

0.3175

0.5899

0.8172

 

CL+

1.8823

2.5068

1.7716

3.2458

4.5777

 

P

0.2752

0.6794

0.5119

0.4553

0.1335

 

AIC

551.1

155.9

130.7

132.7

138.9

Day

βo

0.435

0.312

2.048

−7.409

−1.499

 

β1

0.011

0.010

−0.027

0.178

0.036

 

OR

1.011

1.010

0.973

1.194

1.037

 

CL-

1.0009

0.9635

0.8820

1.0682

0.9876

 

CL+

1.0214

1.0593

1.0737

1.3350

1.0891

 

P

0.0334

0.6728

0.5868

0.0018

0.1443

 

AIC

547.7

155.9

130.8

122.2

138.9

Age

βo

0.427

0.033

0.292

0.615

0.879

 

β1

0.013

0.013

0.025

0.013

0.001

 

OR

1.013

1.013

1.025

1.014

1.001

 

CL-

1.0020

0.9934

0.9999

0.9896

0.9789

 

CL+

1.0242

1.0331

1.0503

1.0379

1.0226

 

P

0.0210

0.1948

0.0510

0.2717

0.9628

 

AIC

546.8

154.3

126.9

132.1

141.2

LEU

βo

24.173

32.162

18.422

20.852

25.583

 

β1

−6.3036

−8.4818

−4.6950

−5.3871

−6.7062

 

OR

0.002

0.001

0.009

0.005

0.001

 

CL-

0.0005

0.0000

0.0009

0.0004

0.0001

 

CL+

0.0069

0.0048

0.0972

0.0594

0.0206

 

P

<0.0001

<0.0001

<0.0001

<0.0001

<0.0001

 

AIC

440.6

99.9

111.3

110.7

107.4

PLA

βo

31.916

43.426

34.360

30.579

19.594

 

β1

−5.931

−8.143

−6.377

−5.646

−3.586

 

OR

0.003

0.001

0.002

0.003

0.028

 

CL-

0.0007

0.0001

0.0001

0.0002

0.0027

 

CL+

0.0108

0.0068

0.0359

0.0705

0.2855

 

P

<0.0001

<0.0001

<0.0001

0.0002

0.0026

 

AIC

464.6

109.8

106.7

115.1

130.3

AL%

βo

0.192

−0.287

0.547

0.672

−0.242

 

β1

0.169

0.209

0.207

0.077

0.251

 

OR

1.184

1.233

1.230

1.080

1.285

 

CL-

1.1190

1.0950

1.0480

0.9891

1.1274

 

CL+

1.2538

1.3875

1.4439

1.1793

1.4654

 

P

<0.0001

0.0005

0.0113

0.0860

0.0002

 

AIC

511.8

136.1

118.9

129.8

118.1

  1. Logistic regression models to evaluate the individual contribution of demographic and hematological factors to DENV incidence using different datasets (ALL = entire data; subsets s1 to s4 ordered by day of the first attendance at the Marilia Hemocenter; see text). βo = intercept, β1 = slope, OR odds ratio, and CL 95 % confidence limits. Figures lower than critical P were in bold. Considering six models (one for each factor) with each dataset, critical P = 0.05/6 = 0.0083. AIC indicate model fit (comparable both between subsets and factors for subsets s1 to s4; comparable between factors for ALL). Variable codes as in Table 1